[{"data":1,"prerenderedAt":87},["ShallowReactive",2],{"$fUHX7sWFBsY0lJCgSr2jV1hHcpG4EP27aBjWC79MtQhs":3,"$flyKbaOeKjNZIJevmzLgO_h61B71C1rUsNIY_33EFqlA":27},{"job":4},{"id":5,"slug":6,"title":7,"companyname":8,"companylogo":9,"companyTagline":10,"companyIndustry":11,"city":12,"country":13,"remote":14,"employmentType":15,"department":17,"content_html":18,"content_text":19,"years":20,"createdAt":21,"updatedAtISO":22,"postedAtISO":23,"hasSalary":14,"salaryMin":20,"salaryMax":20,"currency":24,"schema":25},"8a9083ac7109977a24f52624547df2e066f498c9973a31ce08b633f725bdaa86","senior-software-engineer-dev-platform-at-iterable-b4f8d0ecd9","Senior Software Engineer (Dev Platform)","Iterable","https://logo.clearbit.com/iterable.com","Iterable is the top-rated AI-Powered Customer Communication Platform","Software Development","Hybrid - Lisbon","Portugal",false,[16],"Contract","Engineering","\u003Cp>Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.\u003C/p>\n\u003Cp>Our success is powered by extraordinary people who bring our core values—Be an Owner, Growth Mindset, Run as One, Transparency —to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.\u003C/p>\n\u003Cp>With a global presence—including offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!\u003C/p>\u003Cp>As a \u003Cstrong>Senior Software Engineer on the Developer Platform Team,\u003C/strong> you will improve the platform foundations that Iterable engineers rely on to build, test, deploy, and operate services safely at scale. Your work will span the developer workflow end-to-end: from Scala, Bazel, and CI systems, through deployment workflows and self-service platforms, down to the Kubernetes and cloud infrastructure that make those experiences reliable in practice.\u003C/p>\n\u003Cp>This is a hands-on senior engineering role for someone who is equally comfortable improving the inner loop for developers and owning the production platform systems behind it. You will lead high-leverage projects across build, test, deployment, and runtime infrastructure; drive work that reduces developer friction while improving reliability and cost efficiency; and partner closely with product engineering, infrastructure, security, and SRE to turn platform pain points into durable solutions.\u003C/p>\n\u003Cul>\n\u003Cli>Own the developer delivery path end to end: Improve the systems engineers' use to build, test, package, deploy, and validate changes with confidence across local development, CI, and production rollout workflows.\u003C/li>\n\u003Cli>Lead shared engineering foundations: Evolve common libraries, build patterns, service templates, internal platform capabilities, and paved-path workflows that many teams depend on.\u003C/li>\n\u003Cli>Improve CI performance, capacity, and reliability: Drive improvements to build and test feedback loops, runner health, workload placement, and failure isolation so engineers get faster, more predictable results.\u003C/li>\n\u003Cli>Strengthen deployment and release infrastructure: Own and improve the control-plane systems that underpin delivery, including GitOps workflows, rollout orchestration, self-service deployment tooling, and the operational paths used to debug and recover production changes.\u003C/li>\n\u003Cli>Take ownership of platform runtime infrastructure: Help operate and improve the Kubernetes and cloud infrastructure that underpins the engineering workflow, including cluster behavior, node-pool strategy, workload scheduling, access patterns, and reliability guardrails.\u003C/li>\n\u003Cli>Turn recurring friction into durable leverage: Diagnose repeated failure modes across build, CI, deploy, and runtime systems, then solve them through automation, better defaults, observability, documentation, and platform product improvements.\u003C/li>\n\u003Cli>Use AI to accelerate platform engineering safely: Apply tools like Cursor, Claude, and agentic workflows to codebase migrations, CI triage, platform automation, and internal tooling development with strong verification and guardrails.\u003C/li>\n\u003Cli>Partner across engineering with senior ownership: Work closely with service teams and technical leaders to guide adoption, explain trade-offs, lead migrations, and make the paved path easier to use over time.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>What We're Looking For\u003C/strong>\u003C/h3>\n\u003Cp>We prioritize strong software engineering fundamentals, systems thinking, and the ability to own ambiguous, cross-cutting platform problems from diagnosis through rollout. You do not need to have used our exact stack, but you should be comfortable learning deeply, operating in shared production systems, and building tools and infrastructure that other engineers depend on every day.\u003C/p>\n\u003Cul>\n\u003Cli>Strong software engineering fundamentals in Scala, Java, Kotlin, or another production language; able to read, modify, test, and review service code in a large shared codebase.\u003C/li>\n\u003Cli>Experience owning a developer platform or infrastructure systems, such as build platforms, CI/CD, deployment tooling, internal developer portals, Kubernetes platforms, or cloud runtime infrastructure.\u003C/li>\n\u003Cli>Strong working knowledge of build systems and delivery workflows; familiarity with Kubernetes, GitHub Actions, ArgoCD, Backstage, Bazel, EngFlow\u003C/li>\n\u003Cli>Ability to debug complex failures that cross boundaries between application code, build tooling, CI runners, deployment systems, Kubernetes, and cloud infrastructure.\u003C/li>\n\u003Cli>Experience leading migrations or foundational platform changes with a meaningful blast radius, including rollout planning, risk management, communication, and follow-through on adoption.\u003C/li>\n\u003Cli>Product-minded approach to internal platform engineering; you care about usability, feedback loops, self-service, operational clarity, and whether platform investments make engineers faster and more confident.\u003C/li>\n\u003Cli>Comfort using AI tools such as Cursor, Claude, or similar systems for real engineering work, including codebase exploration, migration support, test generation, CI triage, and agent orchestration.\u003C/li>\n\u003Cli>Good judgment about AI-assisted automation: able to break complex tasks into plans, prompts, verification steps, and review loops with appropriate human oversight and safety guardrails.\u003C/li>\n\u003Cli>Clear communicator who can work across product engineering, infrastructure, and security teams, explain trade-offs, keep stakeholders informed, and make steady progress in ambiguous technical areas.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>What we offer \u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Competitive salaries & meaningful equity\u003C/li>\n\u003Cli>Private Medical Insurance\u003C/li>\n\u003Cli>Life/Risk Assurance\u003C/li>\n\u003Cli>Meal Allowance: 8.55€ per day\u003C/li>\n\u003Cli>Community Days (days for us to give back to the community) \u003C/li>\n\u003Cli>Paid Annual Leave (22 days)\u003C/li>\n\u003Cli>Global Lifestyle Reimbursement Account\u003C/li>\n\u003Cli>Paid Sabbatical\u003C/li>\n\u003Cli>Complete laptop workstation\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cem>The base salary range for this position in Lisbon, Portugal, is €66,500 – €88,000 per year (gross). This range is provided in anticipation of the requirements of the EU Pay Transparency Directive (2023/970), which EU member states are implementing into national law, and reflects the expected compensation at the start of employment for this role.The final offer will be determined based on your experience, qualifications, and performance throughout the selection process, while also ensuring alignment with our internal equity principles.\u003C/em>\u003C/p>\u003Cp>\u003Cstrong>Recruitment Disclaimer:\u003C/strong>\u003C/p>\n\u003Cp>Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:\u003C/p>\n\u003Cul>\n\u003Cli>Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.\u003C/li>\n\u003Cli>Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).\u003C/li>\n\u003Cli>Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.\u003C/li>\n\u003C/ul>\n\u003Cp>You may see all job vacancies on our official Iterable channels:\u003C/p>\n\u003Cul>\n\u003Cli>Official Iterable website, Careers page: https://iterable.com/careers/\u003C/li>\n\u003Cli>Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/\u003C/li>\n\u003C/ul>\n\u003Cp>Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at \u003Cstrong>talent-ops@iterable.com \u003C/strong>upon receiving a suspicious job offer.\u003C/p>\n\u003Cp>Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.\u003Cbr>\u003Cbr>Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.\u003C/p>","Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.\nOur success is powered by extraordinary people who bring our core values—Be an Owner, Growth Mindset, Run as One, Transparency —to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.\nWith a global presence—including offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!As a Senior Software Engineer on the Developer Platform Team, you will improve the platform foundations that Iterable engineers rely on to build, test, deploy, and operate services safely at scale. Your work will span the developer workflow end-to-end: from Scala, Bazel, and CI systems, through deployment workflows and self-service platforms, down to the Kubernetes and cloud infrastructure that make those experiences reliable in practice.\nThis is a hands-on senior engineering role for someone who is equally comfortable improving the inner loop for developers and owning the production platform systems behind it. You will lead high-leverage projects across build, test, deployment, and runtime infrastructure; drive work that reduces developer friction while improving reliability and cost efficiency; and partner closely with product engineering, infrastructure, security, and SRE to turn platform pain points into durable solutions.\n\nOwn the developer delivery path end to end: Improve the systems engineers' use to build, test, package, deploy, and validate changes with confidence across local development, CI, and production rollout workflows.\nLead shared engineering foundations: Evolve common libraries, build patterns, service templates, internal platform capabilities, and paved-path workflows that many teams depend on.\nImprove CI performance, capacity, and reliability: Drive improvements to build and test feedback loops, runner health, workload placement, and failure isolation so engineers get faster, more predictable results.\nStrengthen deployment and release infrastructure: Own and improve the control-plane systems that underpin delivery, including GitOps workflows, rollout orchestration, self-service deployment tooling, and the operational paths used to debug and recover production changes.\nTake ownership of platform runtime infrastructure: Help operate and improve the Kubernetes and cloud infrastructure that underpins the engineering workflow, including cluster behavior, node-pool strategy, workload scheduling, access patterns, and reliability guardrails.\nTurn recurring friction into durable leverage: Diagnose repeated failure modes across build, CI, deploy, and runtime systems, then solve them through automation, better defaults, observability, documentation, and platform product improvements.\nUse AI to accelerate platform engineering safely: Apply tools like Cursor, Claude, and agentic workflows to codebase migrations, CI triage, platform automation, and internal tooling development with strong verification and guardrails.\nPartner across engineering with senior ownership: Work closely with service teams and technical leaders to guide adoption, explain trade-offs, lead migrations, and make the paved path easier to use over time.\n\nWhat We're Looking For\nWe prioritize strong software engineering fundamentals, systems thinking, and the ability to own ambiguous, cross-cutting platform problems from diagnosis through rollout. You do not need to have used our exact stack, but you should be comfortable learning deeply, operating in shared production systems, and building tools and infrastructure that other engineers depend on every day.\n\nStrong software engineering fundamentals in Scala, Java, Kotlin, or another production language; able to read, modify, test, and review service code in a large shared codebase.\nExperience owning a developer platform or infrastructure systems, such as build platforms, CI/CD, deployment tooling, internal developer portals, Kubernetes platforms, or cloud runtime infrastructure.\nStrong working knowledge of build systems and delivery workflows; familiarity with Kubernetes, GitHub Actions, ArgoCD, Backstage, Bazel, EngFlow\nAbility to debug complex failures that cross boundaries between application code, build tooling, CI runners, deployment systems, Kubernetes, and cloud infrastructure.\nExperience leading migrations or foundational platform changes with a meaningful blast radius, including rollout planning, risk management, communication, and follow-through on adoption.\nProduct-minded approach to internal platform engineering; you care about usability, feedback loops, self-service, operational clarity, and whether platform investments make engineers faster and more confident.\nComfort using AI tools such as Cursor, Claude, or similar systems for real engineering work, including codebase exploration, migration support, test generation, CI triage, and agent orchestration.\nGood judgment about AI-assisted automation: able to break complex tasks into plans, prompts, verification steps, and review loops with appropriate human oversight and safety guardrails.\nClear communicator who can work across product engineering, infrastructure, and security teams, explain trade-offs, keep stakeholders informed, and make steady progress in ambiguous technical areas.\n\nWhat we offer \n\nCompetitive salaries & meaningful equity\nPrivate Medical Insurance\nLife/Risk Assurance\nMeal Allowance: 8.55€ per day\nCommunity Days (days for us to give back to the community) \nPaid Annual Leave (22 days)\nGlobal Lifestyle Reimbursement Account\nPaid Sabbatical\nComplete laptop workstation\n\nThe base salary range for this position in Lisbon, Portugal, is €66,500 – €88,000 per year (gross). This range is provided in anticipation of the requirements of the EU Pay Transparency Directive (2023/970), which EU member states are implementing into national law, and reflects the expected compensation at the start of employment for this role.The final offer will be determined based on your experience, qualifications, and performance throughout the selection process, while also ensuring alignment with our internal equity principles.Recruitment Disclaimer:\nPlease be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:\n\nSend job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.\nRequest money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).\nRequest or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.\n\nYou may see all job vacancies on our official Iterable channels:\n\nOfficial Iterable website, Careers page: https://iterable.com/careers/\nOfficial LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/\n\nIterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at talent-ops@iterable.com upon receiving a suspicious job offer.\nCriminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.",0,1786295957000,"2026-08-09 19:19:23","2026-08-07T15:36:57.000Z","EUR",{"jsonldValid":14,"jsonld":26},"",{"jobs":28},[29,41,49,58,69,77],{"id":30,"slug":31,"title":32,"companyname":8,"companylogo":9,"companyTagline":10,"companyIndustry":11,"city":33,"country":34,"remote":35,"employmentType":36,"department":17,"content_html":37,"content_text":38,"years":20,"createdAt":21,"updatedAtISO":22,"postedAtISO":23,"hasSalary":14,"salaryMin":20,"salaryMax":20,"currency":39,"schema":40},"4e7a79938683b3bf00d2fce7dc99a2742094be94945844013fac5d36b4991a6c","senior-cloud-security-engineer-at-iterable-b4adae2f77","Senior Cloud Security Engineer","Atlanta","Georgia",true,[16],"\u003Cp>Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.\u003C/p>\n\u003Cp>Our success is powered by extraordinary people who bring our core values—Be an Owner, Growth Mindset, Run as One, Transparency —to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.\u003C/p>\n\u003Cp>With a global presence—including offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!\u003C/p>\u003Cp>\u003Cstrong>How you will make an impact:\u003C/strong>\u003C/p>\n\u003Cp>Customers trust Iterable with sensitive information, expecting us to safeguard their data. Iterable's Security team leads a cross-functional effort across the company to ensure that all systems remain secure in support of Iterable's core values, and to provide assurance to our customers that we will be good stewards of their valued data. The Security team actively leads the effort to improve Iterable's security posture in concert with other groups as they develop or launch new features and services. As Engineers, we believe in security through automation, assessments, technical reviews and vulnerability evaluation. Our footprint spans across the entire company at all levels, throughout the complete development lifecycle. \u003C/p>\n\u003Cp>We aim to create a compelling, well-documented, and holistically managed security program. We are looking for individuals to join our vibrant Security Engineering team to move the current state of security to the next level. We strive to improve our cloud security capabilities, and support our peers in building an amazing product through creating an environment which fosters security by design. To summarize, we want you to share and be a part of our grand plan!\u003C/p>\n\u003Cp>One of our core values is “Growth Mindset,” and Iterable is a company where everyone can grow. If this is a role that excites you, please apply as we value applicants for the skills they bring beyond a job description.\u003C/p>\n\u003Cp>\u003Cstrong>\u003Cbr>\u003C/strong>\u003Cstrong>In this role you'll get to:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Review system designs and implementations, and consult with engineers across the organization to identify and/or avoid security issues through alignment with security standards and best practices, document and ensure security issues are appropriately remediated\u003C/li>\n\u003Cli>Leverage subject matter expertise of systems and infrastructure to propose solutions and drive architectural improvements which address classes of security vulnerabilities\u003C/li>\n\u003Cli>Develop and implement cloud and infrastructure security architecture and contribute to overall strategy and roadmap plans\u003C/li>\n\u003Cli>Participate in the selection, design, development, implementation, and management of automated security testing tools, such as cloud security posture management and image vulnerability scanners\u003C/li>\n\u003Cli>Implement solutions that integrate into CI pipelines to shift security as far left as possible and raise concerns early to engineering teams.\u003C/li>\n\u003Cli>Promote DevSecOps principles and implement Infrastructure as Code (IaC) scanning and policy enforcement to ensure deployments via Terraform, AWS CloudFormation, or similar, are secure and compliant with standards and guidelines\u003C/li>\n\u003Cli>Coordinate and participate in penetration tests of our cloud services\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>We are looking for people who have:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>5+ years hands-on-keyboard in Cloud Security, SRE, DevOps, DevSecOps, or Infra Engineering.\u003C/li>\n\u003Cli>Strong working knowledge of Kubernetes and ecosystem tools such as helm, ArgoCD.\u003C/li>\n\u003Cli>Production experience with AWS services, particularly AWS Organizations, AWS Identity (SSO), Identity and Access Management (IAM), Service Control Policies (SCPs), Virtual Private Clouds, Elastic Load Balancers, AWS CloudTrail, and Security Groups.\u003C/li>\n\u003Cli>Proficiency with Terraform.\u003C/li>\n\u003Cli>Experience developing custom actions or workflows in Github or Gitlab.\u003C/li>\n\u003Cli>Solid understanding of cloud security vulnerabilities defense techniques and security best practices, including AWS security practices and present-day threats\u003C/li>\n\u003Cli>Proficiency in a high level programming language, such as Python or Go\u003C/li>\n\u003Cli>Familiarity with policy management tools such as OPA or Kyverno\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Bonus points:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>SRE Experience\u003C/li>\n\u003Cli>Scala or JVM ecosystem experience\u003C/li>\n\u003Cli>Familiarity with common observability tools such as Datadog, Prometheus/Grafana\u003C/li>\n\u003Cli>Experience with AWS EKS\u003C/li>\n\u003Cli>Experience with Panther SIEM\u003C/li>\n\u003Cli>Hands on work standing up Jupyter notebook instances, using Jupyter operationally.\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Perks & Benefits:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Competitive salaries, meaningful equity, & 401(k) plan\u003C/li>\n\u003Cli>Medical, dental, vision, & life insurance\u003C/li>\n\u003Cli>Balance Days (additional paid holidays)\u003C/li>\n\u003Cli>Fertility & Adoption Assistance\u003C/li>\n\u003Cli>Paid Sabbatical\u003C/li>\n\u003Cli>Flexible PTO\u003C/li>\n\u003Cli>Monthly Employee Wellness allowance\u003C/li>\n\u003Cli>Monthly Professional Development allowance\u003C/li>\n\u003Cli>Pre-tax commuter benefits\u003C/li>\n\u003Cli>Complete laptop workstation\u003C/li>\n\u003C/ul>\n\u003Cp>The US base salary range for this position at the start of employment is $141,000 - $221,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.\u003C/p>\n\u003Cp>Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.\u003C/p>\u003Cp>\u003Cstrong>Recruitment Disclaimer:\u003C/strong>\u003C/p>\n\u003Cp>Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:\u003C/p>\n\u003Cul>\n\u003Cli>Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.\u003C/li>\n\u003Cli>Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).\u003C/li>\n\u003Cli>Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.\u003C/li>\n\u003C/ul>\n\u003Cp>You may see all job vacancies on our official Iterable channels:\u003C/p>\n\u003Cul>\n\u003Cli>Official Iterable website, Careers page: https://iterable.com/careers/\u003C/li>\n\u003Cli>Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/\u003C/li>\n\u003C/ul>\n\u003Cp>Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at \u003Cstrong>talent-ops@iterable.com \u003C/strong>upon receiving a suspicious job offer.\u003C/p>\n\u003Cp>Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.\u003Cbr>\u003Cbr>Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.\u003C/p>","Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.\nOur success is powered by extraordinary people who bring our core values—Be an Owner, Growth Mindset, Run as One, Transparency —to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.\nWith a global presence—including offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!How you will make an impact:\nCustomers trust Iterable with sensitive information, expecting us to safeguard their data. Iterable's Security team leads a cross-functional effort across the company to ensure that all systems remain secure in support of Iterable's core values, and to provide assurance to our customers that we will be good stewards of their valued data. The Security team actively leads the effort to improve Iterable's security posture in concert with other groups as they develop or launch new features and services. As Engineers, we believe in security through automation, assessments, technical reviews and vulnerability evaluation. Our footprint spans across the entire company at all levels, throughout the complete development lifecycle. \nWe aim to create a compelling, well-documented, and holistically managed security program. We are looking for individuals to join our vibrant Security Engineering team to move the current state of security to the next level. We strive to improve our cloud security capabilities, and support our peers in building an amazing product through creating an environment which fosters security by design. To summarize, we want you to share and be a part of our grand plan!\nOne of our core values is “Growth Mindset,” and Iterable is a company where everyone can grow. If this is a role that excites you, please apply as we value applicants for the skills they bring beyond a job description.\nIn this role you'll get to:\n\nReview system designs and implementations, and consult with engineers across the organization to identify and/or avoid security issues through alignment with security standards and best practices, document and ensure security issues are appropriately remediated\nLeverage subject matter expertise of systems and infrastructure to propose solutions and drive architectural improvements which address classes of security vulnerabilities\nDevelop and implement cloud and infrastructure security architecture and contribute to overall strategy and roadmap plans\nParticipate in the selection, design, development, implementation, and management of automated security testing tools, such as cloud security posture management and image vulnerability scanners\nImplement solutions that integrate into CI pipelines to shift security as far left as possible and raise concerns early to engineering teams.\nPromote DevSecOps principles and implement Infrastructure as Code (IaC) scanning and policy enforcement to ensure deployments via Terraform, AWS CloudFormation, or similar, are secure and compliant with standards and guidelines\nCoordinate and participate in penetration tests of our cloud services\n\nWe are looking for people who have:\n\n5+ years hands-on-keyboard in Cloud Security, SRE, DevOps, DevSecOps, or Infra Engineering.\nStrong working knowledge of Kubernetes and ecosystem tools such as helm, ArgoCD.\nProduction experience with AWS services, particularly AWS Organizations, AWS Identity (SSO), Identity and Access Management (IAM), Service Control Policies (SCPs), Virtual Private Clouds, Elastic Load Balancers, AWS CloudTrail, and Security Groups.\nProficiency with Terraform.\nExperience developing custom actions or workflows in Github or Gitlab.\nSolid understanding of cloud security vulnerabilities defense techniques and security best practices, including AWS security practices and present-day threats\nProficiency in a high level programming language, such as Python or Go\nFamiliarity with policy management tools such as OPA or Kyverno\n\nBonus points:\n\nSRE Experience\nScala or JVM ecosystem experience\nFamiliarity with common observability tools such as Datadog, Prometheus/Grafana\nExperience with AWS EKS\nExperience with Panther SIEM\nHands on work standing up Jupyter notebook instances, using Jupyter operationally.\n\nPerks & Benefits:\n\nCompetitive salaries, meaningful equity, & 401(k) plan\nMedical, dental, vision, & life insurance\nBalance Days (additional paid holidays)\nFertility & Adoption Assistance\nPaid Sabbatical\nFlexible PTO\nMonthly Employee Wellness allowance\nMonthly Professional Development allowance\nPre-tax commuter benefits\nComplete laptop workstation\n\nThe US base salary range for this position at the start of employment is $141,000 - $221,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.\nPlease note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.Recruitment Disclaimer:\nPlease be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:\n\nSend job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.\nRequest money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).\nRequest or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.\n\nYou may see all job vacancies on our official Iterable channels:\n\nOfficial Iterable website, Careers page: https://iterable.com/careers/\nOfficial LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/\n\nIterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at talent-ops@iterable.com upon receiving a suspicious job offer.\nCriminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.","USD",{"jsonldValid":14,"jsonld":26},{"id":42,"slug":43,"title":44,"companyname":8,"companylogo":9,"companyTagline":10,"companyIndustry":11,"city":12,"country":13,"remote":14,"employmentType":45,"department":17,"content_html":46,"content_text":47,"years":20,"createdAt":21,"updatedAtISO":22,"postedAtISO":23,"hasSalary":14,"salaryMin":20,"salaryMax":20,"currency":24,"schema":48},"67f45bdef9680c4f188dd005e105dee6d105eb5ee32557eacd1916e91fdf5e13","senior-machine-learning-engineer-at-iterable-a3f36a3bbd","Senior Machine Learning Engineer",[16],"\u003Cp>Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.\u003C/p>\n\u003Cp>Our success is powered by extraordinary people who bring our core values—Be an Owner, Growth Mindset, Run as One, Transparency —to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.\u003C/p>\n\u003Cp>With a global presence—including offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!\u003C/p>\u003Cp>As a Senior Machine Learning Engineer at Iterable, you will design and build the end-to-end machine learning systems that power intelligence across our product. As a high-tech marketing platform, we work with thousands of large-scale and diverse enterprise customers. The scale and diversity of these workloads — supporting personalization with deep customizability — present unique and exciting challenges for machine learning at production scale.\u003C/p>\n\u003Cp>You will have real autonomy: from research and experimentation through to models running reliably in production, you'll own the systems and models behind our ML products and help shape the direction of AI at Iterable.\u003C/p>\n\u003Cp>One of our core values is a growth mindset, and Iterable is a company where everyone can grow. If this role excites you, please apply — we value applicants for the skills they bring beyond a job description.\u003C/p>\n\u003Ch3>\u003Cstrong>What You'll Do\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Build and ship core product ML capabilities, including send-time/frequency optimization, recommendation engines, and campaign personalization.\u003C/li>\n\u003Cli>Own the full model lifecycle end-to-end: EDA, feature engineering, distributed training, production deployment, latency monitoring, and online experimentation (e.g., multi-armed bandits, ensemble models).\u003C/li>\n\u003Cli>Build and scale our data pipelines and serving architectures using Databricks, Spark, AWS, Ray, and Kubernetes.\u003C/li>\n\u003Cli>Partner with Backend and Platform teams to elevate feature serving, improve overall data architecture, and establish engineering standards across the team.\u003C/li>\n\u003Cli>Mentor engineers on the team and help set the technical direction for ML at Iterable.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>What We're Looking For\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>\u003Cstrong>5+ years of hands-on MLE experience\u003C/strong> putting complex models into production at scale.\u003C/li>\n\u003Cli>\u003Cstrong>Databricks & Spark mastery:\u003C/strong> Real experience building, optimizing, and scaling production data pipelines using Databricks.\u003C/li>\n\u003Cli>\u003Cstrong>Production-level Model Engineering:\u003C/strong> Proven track record of taking deep learning and ensemble architectures from training through optimization to production deployment.\u003C/li>\n\u003Cli>\u003Cstrong>Production Code:\u003C/strong> Strong Python and/or Scala skills with an emphasis on readable, modular, and maintainable systems code.\u003C/li>\n\u003Cli>\u003Cstrong>Systems & Infra Experience:\u003C/strong> Hands-on work with microservice backends, distributed compute (Ray/Spark), and containers (Kubernetes).\u003C/li>\n\u003Cli>\u003Cstrong>Pragmatism:\u003C/strong> You care more about serving latency, reliability, and measurable customer impact than novel theoretical architectures.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>Bonus points:\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Prior work on large-scale recommendation systems.\u003C/li>\n\u003Cli>Experience setting up feature stores or model observability tools.\u003C/li>\n\u003Cli>Exposure to Infrastructure-as-Code (Terraform, Pulumi).\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>You Might Work On\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Building, evaluating, and integrating new models that add intelligence into our core product.\u003C/li>\n\u003Cli>Enhancing models that optimize send time and frequency of outgoing message campaigns.\u003C/li>\n\u003Cli>Designing data pipelines that make it easy to implement and test new models.\u003C/li>\n\u003Cli>Working with platform engineers to enhance our feature- and model-serving architecture.\u003C/li>\n\u003Cli>Benchmarking and improving our multi-armed bandit implementation.\u003C/li>\n\u003Cli>Building tools to visualize and debug features and models.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>What we offer \u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Competitive salaries & meaningful equity\u003C/li>\n\u003Cli>Private Medical Insurance\u003C/li>\n\u003Cli>Life/Risk Assurance\u003C/li>\n\u003Cli>Meal Allowance: 8.55€ per day\u003C/li>\n\u003Cli>Community Days (days for us to give back to the community) \u003C/li>\n\u003Cli>Paid Annual Leave (22 days)\u003C/li>\n\u003Cli>Global Lifestyle Reimbursement Account\u003C/li>\n\u003Cli>Paid Sabbatical\u003C/li>\n\u003Cli>Complete laptop workstation\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cem>The base salary range for this position in Lisbon, Portugal, is €66,500 – €88,000 per year (gross). This range is provided in anticipation of the requirements of the EU Pay Transparency Directive (2023/970), which EU member states are implementing into national law, and reflects the expected compensation at the start of employment for this role.The final offer will be determined based on your experience, qualifications, and performance throughout the selection process, while also ensuring alignment with our internal equity principles.\u003C/em>\u003C/p>\u003Cp>\u003Cstrong>Recruitment Disclaimer:\u003C/strong>\u003C/p>\n\u003Cp>Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:\u003C/p>\n\u003Cul>\n\u003Cli>Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.\u003C/li>\n\u003Cli>Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).\u003C/li>\n\u003Cli>Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.\u003C/li>\n\u003C/ul>\n\u003Cp>You may see all job vacancies on our official Iterable channels:\u003C/p>\n\u003Cul>\n\u003Cli>Official Iterable website, Careers page: https://iterable.com/careers/\u003C/li>\n\u003Cli>Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/\u003C/li>\n\u003C/ul>\n\u003Cp>Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at \u003Cstrong>talent-ops@iterable.com \u003C/strong>upon receiving a suspicious job offer.\u003C/p>\n\u003Cp>Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.\u003Cbr>\u003Cbr>Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.\u003C/p>","Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.\nOur success is powered by extraordinary people who bring our core values—Be an Owner, Growth Mindset, Run as One, Transparency —to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.\nWith a global presence—including offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!As a Senior Machine Learning Engineer at Iterable, you will design and build the end-to-end machine learning systems that power intelligence across our product. As a high-tech marketing platform, we work with thousands of large-scale and diverse enterprise customers. The scale and diversity of these workloads — supporting personalization with deep customizability — present unique and exciting challenges for machine learning at production scale.\nYou will have real autonomy: from research and experimentation through to models running reliably in production, you'll own the systems and models behind our ML products and help shape the direction of AI at Iterable.\nOne of our core values is a growth mindset, and Iterable is a company where everyone can grow. If this role excites you, please apply — we value applicants for the skills they bring beyond a job description.\nWhat You'll Do\n\nBuild and ship core product ML capabilities, including send-time/frequency optimization, recommendation engines, and campaign personalization.\nOwn the full model lifecycle end-to-end: EDA, feature engineering, distributed training, production deployment, latency monitoring, and online experimentation (e.g., multi-armed bandits, ensemble models).\nBuild and scale our data pipelines and serving architectures using Databricks, Spark, AWS, Ray, and Kubernetes.\nPartner with Backend and Platform teams to elevate feature serving, improve overall data architecture, and establish engineering standards across the team.\nMentor engineers on the team and help set the technical direction for ML at Iterable.\n\nWhat We're Looking For\n\n5+ years of hands-on MLE experience putting complex models into production at scale.\nDatabricks & Spark mastery: Real experience building, optimizing, and scaling production data pipelines using Databricks.\nProduction-level Model Engineering: Proven track record of taking deep learning and ensemble architectures from training through optimization to production deployment.\nProduction Code: Strong Python and/or Scala skills with an emphasis on readable, modular, and maintainable systems code.\nSystems & Infra Experience: Hands-on work with microservice backends, distributed compute (Ray/Spark), and containers (Kubernetes).\nPragmatism: You care more about serving latency, reliability, and measurable customer impact than novel theoretical architectures.\n\nBonus points:\n\nPrior work on large-scale recommendation systems.\nExperience setting up feature stores or model observability tools.\nExposure to Infrastructure-as-Code (Terraform, Pulumi).\n\nYou Might Work On\n\nBuilding, evaluating, and integrating new models that add intelligence into our core product.\nEnhancing models that optimize send time and frequency of outgoing message campaigns.\nDesigning data pipelines that make it easy to implement and test new models.\nWorking with platform engineers to enhance our feature- and model-serving architecture.\nBenchmarking and improving our multi-armed bandit implementation.\nBuilding tools to visualize and debug features and models.\n\nWhat we offer \n\nCompetitive salaries & meaningful equity\nPrivate Medical Insurance\nLife/Risk Assurance\nMeal Allowance: 8.55€ per day\nCommunity Days (days for us to give back to the community) \nPaid Annual Leave (22 days)\nGlobal Lifestyle Reimbursement Account\nPaid Sabbatical\nComplete laptop workstation\n\nThe base salary range for this position in Lisbon, Portugal, is €66,500 – €88,000 per year (gross). This range is provided in anticipation of the requirements of the EU Pay Transparency Directive (2023/970), which EU member states are implementing into national law, and reflects the expected compensation at the start of employment for this role.The final offer will be determined based on your experience, qualifications, and performance throughout the selection process, while also ensuring alignment with our internal equity principles.Recruitment Disclaimer:\nPlease be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:\n\nSend job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.\nRequest money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).\nRequest or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.\n\nYou may see all job vacancies on our official Iterable channels:\n\nOfficial Iterable website, Careers page: https://iterable.com/careers/\nOfficial LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/\n\nIterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at talent-ops@iterable.com upon receiving a suspicious job offer.\nCriminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.",{"jsonldValid":14,"jsonld":26},{"id":50,"slug":51,"title":52,"companyname":8,"companylogo":9,"companyTagline":10,"companyIndustry":11,"city":33,"country":34,"remote":35,"employmentType":53,"department":54,"content_html":55,"content_text":56,"years":20,"createdAt":21,"updatedAtISO":22,"postedAtISO":23,"hasSalary":14,"salaryMin":20,"salaryMax":20,"currency":39,"schema":57},"4a24bf37d801582a79dfdfa943a18625f637f0e18c470fb3a17814554a98d565","senior-manager-engineering-nova-at-iterable-00a96aabfe","Senior Manager, Engineering (Nova)",[16],"Other","\u003Cp>Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.\u003C/p>\n\u003Cp>Our success is powered by extraordinary people who bring our core values—Be an Owner, Growth Mindset, Run as One, Transparency —to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.\u003C/p>\n\u003Cp>With a global presence—including offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!\u003C/p>\u003Cp>Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.\u003C/p>\n\u003Cp>Our success is powered by extraordinary people who bring our core values—Trust, Growth Mindset, Balance, and Humility—to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.\u003C/p>\n\u003Cp>With a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together! \u003C/p>\n\u003Ch3>\u003Cstrong>How you will make an impact:\u003C/strong>\u003C/h3>\n\u003Cp>We are looking for a \u003Cstrong>Senior Engineering Manager\u003C/strong> to lead the engineering groups responsible for building agentic experiences and integrating AI-powered capabilities into the core Iterable application. This organization owns the critical application-facing development that turns emerging AI capabilities into reliable, highly scalable, and usable product features.\u003C/p>\n\u003Cp>In this role, you will provide strategic direction and leadership to a growing organization of frontend, backend, and applied engineers working on conversational workflows, orchestration layers, and AI-enabled product surfaces. You will balance organizational leadership with high-level technical vision, helping teams deliver complex, high-impact features while defining roadmaps, navigating ambiguity, and driving architectural standards in a fast-moving product area. This role sits within the broader Nova initiative and plays a strategic part in shaping the future of how intelligent experiences appear across the Iterable platform.\u003C/p>\n\u003Cp>One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.\u003C/p>\n\u003Ch3>\u003Cstrong>How You Will Make a Difference:\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>\u003Cstrong>Lead and scale\u003C/strong> multiple engineering teams (or a large, multi-disciplinary pod) building agentic and AI-enabled product experiences.\u003C/li>\n\u003Cli>\u003Cstrong>Act as a strategic partner\u003C/strong> to Product, Design, and Data Science leadership to define the technical roadmap, prioritize initiatives, and translate AI capabilities into scalable, user-facing experiences.\u003C/li>\n\u003Cli>\u003Cstrong>Drive the overarching technical architecture\u003C/strong> and design of agent workflows, orchestration logic, and application integrations.\u003C/li>\n\u003Cli>\u003Cstrong>Establish the standards\u003C/strong> to ensure AI-powered features are reliable, observable, secure, and ready for enterprise-scale production use.\u003C/li>\n\u003Cli>\u003Cstrong>Spearhead execution\u003C/strong> across complex, cross-functional initiatives, balancing short-term product delivery with sustainable, long-term technical direction.\u003C/li>\n\u003Cli>\u003Cstrong>Champion and elevate strong engineering practices\u003C/strong> around code quality, system resilience, testing, and iterative delivery across the broader engineering organization.\u003C/li>\n\u003Cli>\u003Cstrong>Coach, mentor, and sponsor\u003C/strong> senior engineers, technical leads, and potentially other engineering managers, actively supporting their career growth and ensuring a healthy, inclusive team culture.\u003C/li>\n\u003Cli>\u003Cstrong>Collaborate strategically\u003C/strong> with principal engineers, data teams, and platform architecture groups to align on system interfaces, resolve organizational dependencies, and achieve shared business goals.\u003C/li>\n\u003Cli>\u003Cstrong>Drive hiring, headcount planning, and onboarding\u003C/strong> strategies as the AI engineering organization scales.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>We Are Looking for People Who:\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Have at least \u003Cstrong>8+ years\u003C/strong> of hands-on software development experience.\u003C/li>\n\u003Cli>Have at least \u003Cstrong>5+ years\u003C/strong> of experience managing, scaling, and leading software engineering teams.\u003C/li>\n\u003Cli>Strong background in application or platform engineering, with a proven track record of scaling systems in a SaaS environment.\u003C/li>\n\u003Cli>Experience leading teams that integrate complex AI or ML-powered capabilities into production systems.\u003C/li>\n\u003Cli>Demonstrated expertise in building alignment and operating seamlessly at the intersection of product, platform, and data science teams.\u003C/li>\n\u003Cli>Exceptional technical judgment across system design, APIs, distributed systems, and developer workflows, with the ability to guide teams through complex technical decisions.\u003C/li>\n\u003Cli>Experience overseeing engineering work across modern backend and frontend stacks.\u003C/li>\n\u003Cli>Ability to thrive in ambiguity, define strategic direction, make pragmatic trade-offs, and drive execution across multiple concurrent initiatives.\u003C/li>\n\u003Cli>Excellent executive communication skills and the ability to articulate how technical work maps to overarching business and product goals.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>Bonus Points:\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Experience managing engineering managers or leading multiple autonomous squads.\u003C/li>\n\u003Cli>Experience leading teams building agentic, LLM-powered, or generative AI product experiences.\u003C/li>\n\u003Cli>Familiarity with agent frameworks such as Mastra, LangChain, or similar orchestration tools.\u003C/li>\n\u003Cli>Prior leadership work on decisioning engines, rules engines, or real-time personalization systems at scale.\u003C/li>\n\u003Cli>Experience collaborating closely with Data Science and ML teams on complex production integrations and model deployment pipelines.\u003C/li>\n\u003Cli>Background in marketing technology or customer engagement platforms.\u003C/li>\n\u003Cli>Experience successfully scaling engineering teams and systems in a remote-first or distributed environment.\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Perks & Benefits:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Competitive salaries, meaningful equity, & 401(k) plan\u003C/li>\n\u003Cli>Medical, dental, vision, & life insurance\u003C/li>\n\u003Cli>Community Impact Days (additional paid holidays)\u003C/li>\n\u003Cli>Fertility & Adoption Assistance\u003C/li>\n\u003Cli>Paid Sabbatical\u003C/li>\n\u003Cli>Flexible PTO\u003C/li>\n\u003Cli>Monthly Employee Wellness allowance\u003C/li>\n\u003Cli>Monthly Professional Development allowance\u003C/li>\n\u003Cli>Pre-tax commuter benefits\u003C/li>\n\u003Cli>Complete laptop workstation\u003C/li>\n\u003C/ul>\n\u003Cp>The US base salary range for this position at the start of employment is $189,500 - $290,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.\u003C/p>\n\u003Cp>Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.\u003C/p>\u003Cp>\u003Cstrong>Recruitment Disclaimer:\u003C/strong>\u003C/p>\n\u003Cp>Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:\u003C/p>\n\u003Cul>\n\u003Cli>Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.\u003C/li>\n\u003Cli>Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).\u003C/li>\n\u003Cli>Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.\u003C/li>\n\u003C/ul>\n\u003Cp>You may see all job vacancies on our official Iterable channels:\u003C/p>\n\u003Cul>\n\u003Cli>Official Iterable website, Careers page: https://iterable.com/careers/\u003C/li>\n\u003Cli>Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/\u003C/li>\n\u003C/ul>\n\u003Cp>Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at \u003Cstrong>talent-ops@iterable.com \u003C/strong>upon receiving a suspicious job offer.\u003C/p>\n\u003Cp>Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.\u003Cbr>\u003Cbr>Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.\u003C/p>","Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.\nOur success is powered by extraordinary people who bring our core values—Be an Owner, Growth Mindset, Run as One, Transparency —to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.\nWith a global presence—including offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.\nOur success is powered by extraordinary people who bring our core values—Trust, Growth Mindset, Balance, and Humility—to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.\nWith a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together! \nHow you will make an impact:\nWe are looking for a Senior Engineering Manager to lead the engineering groups responsible for building agentic experiences and integrating AI-powered capabilities into the core Iterable application. This organization owns the critical application-facing development that turns emerging AI capabilities into reliable, highly scalable, and usable product features.\nIn this role, you will provide strategic direction and leadership to a growing organization of frontend, backend, and applied engineers working on conversational workflows, orchestration layers, and AI-enabled product surfaces. You will balance organizational leadership with high-level technical vision, helping teams deliver complex, high-impact features while defining roadmaps, navigating ambiguity, and driving architectural standards in a fast-moving product area. This role sits within the broader Nova initiative and plays a strategic part in shaping the future of how intelligent experiences appear across the Iterable platform.\nOne of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.\nHow You Will Make a Difference:\n\nLead and scale multiple engineering teams (or a large, multi-disciplinary pod) building agentic and AI-enabled product experiences.\nAct as a strategic partner to Product, Design, and Data Science leadership to define the technical roadmap, prioritize initiatives, and translate AI capabilities into scalable, user-facing experiences.\nDrive the overarching technical architecture and design of agent workflows, orchestration logic, and application integrations.\nEstablish the standards to ensure AI-powered features are reliable, observable, secure, and ready for enterprise-scale production use.\nSpearhead execution across complex, cross-functional initiatives, balancing short-term product delivery with sustainable, long-term technical direction.\nChampion and elevate strong engineering practices around code quality, system resilience, testing, and iterative delivery across the broader engineering organization.\nCoach, mentor, and sponsor senior engineers, technical leads, and potentially other engineering managers, actively supporting their career growth and ensuring a healthy, inclusive team culture.\nCollaborate strategically with principal engineers, data teams, and platform architecture groups to align on system interfaces, resolve organizational dependencies, and achieve shared business goals.\nDrive hiring, headcount planning, and onboarding strategies as the AI engineering organization scales.\n\nWe Are Looking for People Who:\n\nHave at least 8+ years of hands-on software development experience.\nHave at least 5+ years of experience managing, scaling, and leading software engineering teams.\nStrong background in application or platform engineering, with a proven track record of scaling systems in a SaaS environment.\nExperience leading teams that integrate complex AI or ML-powered capabilities into production systems.\nDemonstrated expertise in building alignment and operating seamlessly at the intersection of product, platform, and data science teams.\nExceptional technical judgment across system design, APIs, distributed systems, and developer workflows, with the ability to guide teams through complex technical decisions.\nExperience overseeing engineering work across modern backend and frontend stacks.\nAbility to thrive in ambiguity, define strategic direction, make pragmatic trade-offs, and drive execution across multiple concurrent initiatives.\nExcellent executive communication skills and the ability to articulate how technical work maps to overarching business and product goals.\n\nBonus Points:\n\nExperience managing engineering managers or leading multiple autonomous squads.\nExperience leading teams building agentic, LLM-powered, or generative AI product experiences.\nFamiliarity with agent frameworks such as Mastra, LangChain, or similar orchestration tools.\nPrior leadership work on decisioning engines, rules engines, or real-time personalization systems at scale.\nExperience collaborating closely with Data Science and ML teams on complex production integrations and model deployment pipelines.\nBackground in marketing technology or customer engagement platforms.\nExperience successfully scaling engineering teams and systems in a remote-first or distributed environment.\n\nPerks & Benefits:\n\nCompetitive salaries, meaningful equity, & 401(k) plan\nMedical, dental, vision, & life insurance\nCommunity Impact Days (additional paid holidays)\nFertility & Adoption Assistance\nPaid Sabbatical\nFlexible PTO\nMonthly Employee Wellness allowance\nMonthly Professional Development allowance\nPre-tax commuter benefits\nComplete laptop workstation\n\nThe US base salary range for this position at the start of employment is $189,500 - $290,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.\nPlease note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.Recruitment Disclaimer:\nPlease be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:\n\nSend job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.\nRequest money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).\nRequest or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.\n\nYou may see all job vacancies on our official Iterable channels:\n\nOfficial Iterable website, Careers page: https://iterable.com/careers/\nOfficial LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/\n\nIterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at talent-ops@iterable.com upon receiving a suspicious job offer.\nCriminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.",{"jsonldValid":14,"jsonld":26},{"id":59,"slug":60,"title":61,"companyname":8,"companylogo":9,"companyTagline":10,"companyIndustry":11,"city":12,"country":13,"remote":14,"employmentType":62,"department":17,"content_html":63,"content_text":64,"years":20,"createdAt":65,"updatedAtISO":66,"postedAtISO":67,"hasSalary":14,"salaryMin":20,"salaryMax":20,"currency":24,"schema":68},"11be99a1123a8ea2600c59464da4e9426b41a070d27b338cb8659fa1023b191c","data-engineer-ii-at-iterable-55ddc60838","Data Engineer II",[16],"\u003Cp>Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.\u003C/p>\n\u003Cp>Our success is powered by extraordinary people who bring our core values—Be an Owner, Growth Mindset, Run as One, Transparency —to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.\u003C/p>\n\u003Cp>With a global presence—including offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!\u003C/p>\u003Cp>\u003Cstrong>How you will make an impact:\u003C/strong>\u003C/p>\n\u003Cp>As a \u003Cstrong>Data Engineer II\u003C/strong> at Iterable, you'll build reliable data pipelines and platform capabilities that power customer-facing data movement, analytics data products, and machine learning foundations.\u003C/p>\n\u003Cp>You will own moderate-scope projects with regular guidance on newer or more ambiguous problems, while collaborating across engineering, product, infrastructure, and data science to deliver scalable, observable systems.\u003C/p>\n\u003Cp>You will help evolve our ingestion, activation, analytics, and ML data workflows while improving reliability, data quality, and operational visibility across the platform.\u003C/p>\n\u003Ch3>\u003Cstrong>How you will make a difference:\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Build and operate components of our next-generation data ingestion and activation platform, including source connectors, staging and transformation workflows, diffing and incremental sync logic, and integrations with Iterable bulk APIs.\u003C/li>\n\u003Cli>Improve pipeline reliability, observability, and recovery through metrics, dashboards, alerting, retries, and durable workflow execution.\u003C/li>\n\u003Cli>Develop and maintain Snowflake-based data pipelines and data-sharing workflows that improve freshness, correctness, and scalability for analytics products and customer-facing data delivery.\u003C/li>\n\u003Cli>Contribute to schema evolution, data quality checks, and operational processes that reduce discrepancies and make data systems easier to support and extend.\u003C/li>\n\u003Cli>Partner with data science and machine learning engineers to build and harden the data infrastructure behind feature generation, feature serving, model inputs, and experimentation workflows.\u003C/li>\n\u003Cli>Make thoughtful tradeoffs across batch and streaming patterns, raw-to-curated data modeling, performance, and maintainability as systems scale.\u003C/li>\n\u003Cli>Collaborate with cross-functional partners across product, frontend, platform, SRE, and customer-facing teams to define interfaces, debug issues, and deliver high-quality solutions end to end.\u003C/li>\n\u003Cli>Recommend improvements to existing processes and understand resources available to overcome unforeseen issues.\u003C/li>\n\u003Cli>Learn to proactively anticipate small roadblocks to accomplishing tasks and use knowledge of business unit processes to navigate them successfully.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>We are looking for people who have:\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>3+ years of relevant experience in data engineering, software engineering, or adjacent platform and infrastructure roles.\u003C/li>\n\u003Cli>Experience building and operating production data pipelines, ETL/ELT systems, or data platforms at scale.\u003C/li>\n\u003Cli>Strong proficiency in Python and SQL, plus familiarity with at least one additional programming language such as Scala or Java.\u003C/li>\n\u003Cli>Experience with modern data tooling and cloud platforms such as Snowflake, S3, Databricks, Postgres, Redis, or similar systems.\u003C/li>\n\u003Cli>Familiarity with orchestration and workflow concepts, and with designing batch and/or streaming data systems.\u003C/li>\n\u003Cli>Understanding of data modeling, schema evolution, incremental processing, testing, and observability for reliable data products.\u003C/li>\n\u003Cli>Desire to work in a highly remote/distributed but collaborative environment.\u003C/li>\n\u003Cli>Willingness to participate in operational support or on-call as needed.\u003C/li>\n\u003Cli>Fluency in English (verbal and written).\u003C/li>\n\u003Cli>Legally authorized to work in the EU.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>Our Technology Stack:\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Programming Languages: Python, SQL, Scala and/or Java\u003C/li>\n\u003Cli>Data Platforms & Databases: Snowflake, Databricks, S3, Postgres, Redis\u003C/li>\n\u003Cli>Infrastructure: AWS, Kafka, Pulsar\u003C/li>\n\u003Cli>Other Relevant Technologies: Spark, Terraform, Docker / Kubernetes, ETL/ELT orchestration\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>Bonus Points\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Experience with Apache Spark, feature stores, or ML platform data workflows.\u003C/li>\n\u003Cli>Experience with Kafka, Pulsar, Airflow, or similar event-driven and workflow technologies.\u003C/li>\n\u003Cli>Experience with AWS and infrastructure-as-code tools such as Terraform.\u003C/li>\n\u003Cli>Experience supporting enterprise-grade data products with strict reliability, freshness, or customer delivery expectations.\u003C/li>\n\u003Cli>Experience with end-to-end, integration, or performance testing for data-intensive systems.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>Perks & Benefits: \u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Competitive salaries & meaningful equity\u003C/li>\n\u003Cli>Private Medical Insurance\u003C/li>\n\u003Cli>Life/Risk Assurance\u003C/li>\n\u003Cli>Meal Allowance: 8.55€ per day\u003C/li>\n\u003Cli>Balance Days (additional paid holidays)\u003C/li>\n\u003Cli>Paid Annual Leave (22 days)\u003C/li>\n\u003Cli>Paid Sabbatical (after 4 years tenure)\u003C/li>\n\u003Cli>Initial laptop workstation setup\u003C/li>\n\u003Cli>Teleworking Allowance\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cem>The base salary range for this position in Lisbon, Portugal, is €55,000 – €68,000 per year (gross). This range is provided in anticipation of the requirements of the EU Pay Transparency Directive (2023/970), which EU member states are implementing into national law, and reflects the expected compensation at the start of employment for this role.The final offer will be determined based on your experience, qualifications, and performance throughout the selection process, while also ensuring alignment with our internal equity principles.\u003C/em>\u003C/p>\u003Cp>\u003Cstrong>Recruitment Disclaimer:\u003C/strong>\u003C/p>\n\u003Cp>Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:\u003C/p>\n\u003Cul>\n\u003Cli>Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.\u003C/li>\n\u003Cli>Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).\u003C/li>\n\u003Cli>Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.\u003C/li>\n\u003C/ul>\n\u003Cp>You may see all job vacancies on our official Iterable channels:\u003C/p>\n\u003Cul>\n\u003Cli>Official Iterable website, Careers page: https://iterable.com/careers/\u003C/li>\n\u003Cli>Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/\u003C/li>\n\u003C/ul>\n\u003Cp>Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at \u003Cstrong>talent-ops@iterable.com \u003C/strong>upon receiving a suspicious job offer.\u003C/p>\n\u003Cp>Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.\u003Cbr>\u003Cbr>Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.\u003C/p>","Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.\nOur success is powered by extraordinary people who bring our core values—Be an Owner, Growth Mindset, Run as One, Transparency —to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.\nWith a global presence—including offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!How you will make an impact:\nAs a Data Engineer II at Iterable, you'll build reliable data pipelines and platform capabilities that power customer-facing data movement, analytics data products, and machine learning foundations.\nYou will own moderate-scope projects with regular guidance on newer or more ambiguous problems, while collaborating across engineering, product, infrastructure, and data science to deliver scalable, observable systems.\nYou will help evolve our ingestion, activation, analytics, and ML data workflows while improving reliability, data quality, and operational visibility across the platform.\nHow you will make a difference:\n\nBuild and operate components of our next-generation data ingestion and activation platform, including source connectors, staging and transformation workflows, diffing and incremental sync logic, and integrations with Iterable bulk APIs.\nImprove pipeline reliability, observability, and recovery through metrics, dashboards, alerting, retries, and durable workflow execution.\nDevelop and maintain Snowflake-based data pipelines and data-sharing workflows that improve freshness, correctness, and scalability for analytics products and customer-facing data delivery.\nContribute to schema evolution, data quality checks, and operational processes that reduce discrepancies and make data systems easier to support and extend.\nPartner with data science and machine learning engineers to build and harden the data infrastructure behind feature generation, feature serving, model inputs, and experimentation workflows.\nMake thoughtful tradeoffs across batch and streaming patterns, raw-to-curated data modeling, performance, and maintainability as systems scale.\nCollaborate with cross-functional partners across product, frontend, platform, SRE, and customer-facing teams to define interfaces, debug issues, and deliver high-quality solutions end to end.\nRecommend improvements to existing processes and understand resources available to overcome unforeseen issues.\nLearn to proactively anticipate small roadblocks to accomplishing tasks and use knowledge of business unit processes to navigate them successfully.\n\nWe are looking for people who have:\n\n3+ years of relevant experience in data engineering, software engineering, or adjacent platform and infrastructure roles.\nExperience building and operating production data pipelines, ETL/ELT systems, or data platforms at scale.\nStrong proficiency in Python and SQL, plus familiarity with at least one additional programming language such as Scala or Java.\nExperience with modern data tooling and cloud platforms such as Snowflake, S3, Databricks, Postgres, Redis, or similar systems.\nFamiliarity with orchestration and workflow concepts, and with designing batch and/or streaming data systems.\nUnderstanding of data modeling, schema evolution, incremental processing, testing, and observability for reliable data products.\nDesire to work in a highly remote/distributed but collaborative environment.\nWillingness to participate in operational support or on-call as needed.\nFluency in English (verbal and written).\nLegally authorized to work in the EU.\n\nOur Technology Stack:\n\nProgramming Languages: Python, SQL, Scala and/or Java\nData Platforms & Databases: Snowflake, Databricks, S3, Postgres, Redis\nInfrastructure: AWS, Kafka, Pulsar\nOther Relevant Technologies: Spark, Terraform, Docker / Kubernetes, ETL/ELT orchestration\n\nBonus Points\n\nExperience with Apache Spark, feature stores, or ML platform data workflows.\nExperience with Kafka, Pulsar, Airflow, or similar event-driven and workflow technologies.\nExperience with AWS and infrastructure-as-code tools such as Terraform.\nExperience supporting enterprise-grade data products with strict reliability, freshness, or customer delivery expectations.\nExperience with end-to-end, integration, or performance testing for data-intensive systems.\n\nPerks & Benefits: \n\nCompetitive salaries & meaningful equity\nPrivate Medical Insurance\nLife/Risk Assurance\nMeal Allowance: 8.55€ per day\nBalance Days (additional paid holidays)\nPaid Annual Leave (22 days)\nPaid Sabbatical (after 4 years tenure)\nInitial laptop workstation setup\nTeleworking Allowance\n\nThe base salary range for this position in Lisbon, Portugal, is €55,000 – €68,000 per year (gross). This range is provided in anticipation of the requirements of the EU Pay Transparency Directive (2023/970), which EU member states are implementing into national law, and reflects the expected compensation at the start of employment for this role.The final offer will be determined based on your experience, qualifications, and performance throughout the selection process, while also ensuring alignment with our internal equity principles.Recruitment Disclaimer:\nPlease be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:\n\nSend job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.\nRequest money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).\nRequest or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.\n\nYou may see all job vacancies on our official Iterable channels:\n\nOfficial Iterable website, Careers page: https://iterable.com/careers/\nOfficial LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/\n\nIterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at talent-ops@iterable.com upon receiving a suspicious job offer.\nCriminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.",1785518751000,"2026-07-31 19:26:06","2026-07-30T11:04:15.000Z",{"jsonldValid":14,"jsonld":26},{"id":70,"slug":71,"title":44,"companyname":8,"companylogo":9,"companyTagline":10,"companyIndustry":11,"city":12,"country":13,"remote":14,"employmentType":72,"department":17,"content_html":73,"content_text":74,"years":20,"createdAt":65,"updatedAtISO":66,"postedAtISO":75,"hasSalary":14,"salaryMin":20,"salaryMax":20,"currency":24,"schema":76},"db3e37602592c5305f47353456ff3e159614b74a8732783741faedfd5db40b22","senior-machine-learning-engineer-at-iterable-91848a6d2b",[16],"\u003Cp>Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.\u003C/p>\n\u003Cp>Our success is powered by extraordinary people who bring our core values—Be an Owner, Growth Mindset, Run as One, Transparency —to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.\u003C/p>\n\u003Cp>With a global presence—including offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!\u003C/p>\u003Cp>We are looking for a \u003Cstrong>Senior Machine Learning Engineer\u003C/strong> to build the core Machine Learning foundations that power Nova’s agentic experiences. This role focuses on applied Machine Learning in production environments: retrieval systems, evaluation frameworks, and model integration layers that make AI features reliable, scalable, and repeatable. You will design and implement the underlying components that support rich, intelligent interactions in the Iterable platform.\u003C/p>\n\u003Cp>You will work closely with backend, frontend, and product teams to shape how Machine Learning is introduced and maintained across the company. The work blends hands-on engineering with system design, and is ideal for someone who can drive complex efforts independently, make practical architectural decisions, and collaborate in a fast-moving, cross-functional product environment.\u003C/p>\n\u003Ch3>Position Details:\u003C/h3>\n\u003Cul>\n\u003Cli>Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers.\u003C/li>\n\u003Cli>Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.\u003C/li>\n\u003Cli>Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring.\u003C/li>\n\u003Cli>Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.\u003C/li>\n\u003Cli>Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.\u003C/li>\n\u003Cli>Prototype applied ML solutions to validate feasibility before investing in full builds.\u003C/li>\n\u003Cli>Ensure secure, robust handling of data used in ML workflows and retrieval operations.\u003C/li>\n\u003Cli>Collaborate with product, design, and engineering to align ML system design with user experience and product goals.\u003C/li>\n\u003Cli>Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.\u003Cbr>\u003Cbr>\u003C/li>\n\u003C/ul>\n\u003Ch3>The Ideal Candidate Will Be/Have:\u003C/h3>\n\u003Cul>\n\u003Cli>5+ years of experience as a Machine Learning Engineer or similar role focused on production systems.\u003C/li>\n\u003Cli>Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.\u003C/li>\n\u003Cli>Experience with retrieval systems, vector databases, search technologies, or RAG architectures.\u003C/li>\n\u003Cli>Prior work integrating ML or LLM-powered features into production applications.\u003C/li>\n\u003Cli>Understanding of ML evaluation techniques, experimentation design, and failure analysis.\u003C/li>\n\u003Cli>Ability to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity.\u003C/li>\n\u003Cli>Strong communication and collaboration skills in a distributed environment.\u003C/li>\n\u003C/ul>\n\u003Ch3>Bonus Points:\u003C/h3>\n\u003Cul>\n\u003Cli>Experience building ML or LLM platforms, tooling, or developer-facing frameworks.\u003C/li>\n\u003Cli>Prior work with embeddings, search–ranking systems, or advanced RAG architectures.\u003C/li>\n\u003Cli>Familiarity with event-driven systems or streaming architectures.\u003C/li>\n\u003Cli>Experience with model observability, performance monitoring, or proactive regression detection.\u003C/li>\n\u003Cli>Background in personalization, recommendations, or applied NLP.\u003C/li>\n\u003Cli>Experience working in remote-first engineering teams.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>What we offer \u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Competitive salaries & meaningful equity\u003C/li>\n\u003Cli>Private Medical Insurance\u003C/li>\n\u003Cli>Life/Risk Assurance\u003C/li>\n\u003Cli>Meal Allowance: 8.55€ per day\u003C/li>\n\u003Cli>Community Days (days for us to give back to the community) \u003C/li>\n\u003Cli>Paid Annual Leave (22 days)\u003C/li>\n\u003Cli>Global Lifestyle Reimbursement Account\u003C/li>\n\u003Cli>Paid Sabbatical\u003C/li>\n\u003Cli>Complete laptop workstation\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cem>The base salary range for this position in Lisbon, Portugal, is €66,500 – €88,000 per year (gross). This range is provided in anticipation of the requirements of the EU Pay Transparency Directive (2023/970), which EU member states are implementing into national law, and reflects the expected compensation at the start of employment for this role.The final offer will be determined based on your experience, qualifications, and performance throughout the selection process, while also ensuring alignment with our internal equity principles.\u003C/em>\u003C/p>\u003Cp>\u003Cstrong>Recruitment Disclaimer:\u003C/strong>\u003C/p>\n\u003Cp>Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:\u003C/p>\n\u003Cul>\n\u003Cli>Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.\u003C/li>\n\u003Cli>Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).\u003C/li>\n\u003Cli>Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.\u003C/li>\n\u003C/ul>\n\u003Cp>You may see all job vacancies on our official Iterable channels:\u003C/p>\n\u003Cul>\n\u003Cli>Official Iterable website, Careers page: https://iterable.com/careers/\u003C/li>\n\u003Cli>Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/\u003C/li>\n\u003C/ul>\n\u003Cp>Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at \u003Cstrong>talent-ops@iterable.com \u003C/strong>upon receiving a suspicious job offer.\u003C/p>\n\u003Cp>Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.\u003Cbr>\u003Cbr>Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.\u003C/p>","Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.\nOur success is powered by extraordinary people who bring our core values—Be an Owner, Growth Mindset, Run as One, Transparency —to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.\nWith a global presence—including offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!We are looking for a Senior Machine Learning Engineer to build the core Machine Learning foundations that power Nova’s agentic experiences. This role focuses on applied Machine Learning in production environments: retrieval systems, evaluation frameworks, and model integration layers that make AI features reliable, scalable, and repeatable. You will design and implement the underlying components that support rich, intelligent interactions in the Iterable platform.\nYou will work closely with backend, frontend, and product teams to shape how Machine Learning is introduced and maintained across the company. The work blends hands-on engineering with system design, and is ideal for someone who can drive complex efforts independently, make practical architectural decisions, and collaborate in a fast-moving, cross-functional product environment.\nPosition Details:\n\nDesign and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers.\nIntroduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.\nDevelop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring.\nImplement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.\nPartner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.\nPrototype applied ML solutions to validate feasibility before investing in full builds.\nEnsure secure, robust handling of data used in ML workflows and retrieval operations.\nCollaborate with product, design, and engineering to align ML system design with user experience and product goals.\nContribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.\n\nThe Ideal Candidate Will Be/Have:\n\n5+ years of experience as a Machine Learning Engineer or similar role focused on production systems.\nStrong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.\nExperience with retrieval systems, vector databases, search technologies, or RAG architectures.\nPrior work integrating ML or LLM-powered features into production applications.\nUnderstanding of ML evaluation techniques, experimentation design, and failure analysis.\nAbility to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity.\nStrong communication and collaboration skills in a distributed environment.\n\nBonus Points:\n\nExperience building ML or LLM platforms, tooling, or developer-facing frameworks.\nPrior work with embeddings, search–ranking systems, or advanced RAG architectures.\nFamiliarity with event-driven systems or streaming architectures.\nExperience with model observability, performance monitoring, or proactive regression detection.\nBackground in personalization, recommendations, or applied NLP.\nExperience working in remote-first engineering teams.\n\nWhat we offer \n\nCompetitive salaries & meaningful equity\nPrivate Medical Insurance\nLife/Risk Assurance\nMeal Allowance: 8.55€ per day\nCommunity Days (days for us to give back to the community) \nPaid Annual Leave (22 days)\nGlobal Lifestyle Reimbursement Account\nPaid Sabbatical\nComplete laptop workstation\n\nThe base salary range for this position in Lisbon, Portugal, is €66,500 – €88,000 per year (gross). This range is provided in anticipation of the requirements of the EU Pay Transparency Directive (2023/970), which EU member states are implementing into national law, and reflects the expected compensation at the start of employment for this role.The final offer will be determined based on your experience, qualifications, and performance throughout the selection process, while also ensuring alignment with our internal equity principles.Recruitment Disclaimer:\nPlease be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:\n\nSend job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.\nRequest money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).\nRequest or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.\n\nYou may see all job vacancies on our official Iterable channels:\n\nOfficial Iterable website, Careers page: https://iterable.com/careers/\nOfficial LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/\n\nIterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at talent-ops@iterable.com upon receiving a suspicious job offer.\nCriminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.","2026-07-30T14:32:45.000Z",{"jsonldValid":14,"jsonld":26},{"id":78,"slug":79,"title":80,"companyname":8,"companylogo":9,"companyTagline":10,"companyIndustry":11,"city":12,"country":13,"remote":14,"employmentType":81,"department":82,"content_html":83,"content_text":84,"years":20,"createdAt":65,"updatedAtISO":66,"postedAtISO":85,"hasSalary":14,"salaryMin":20,"salaryMax":20,"currency":24,"schema":86},"4ddef341103395bcbb44e0e1f3ed476948fd7cdff6428a1c383f8aab75c0eeb0","senior-product-manager-data-products-at-iterable-e2c818ddd2","Senior Product Manager, Data Products",[16],"Data","\u003Cp>Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.\u003C/p>\n\u003Cp>Our success is powered by extraordinary people who bring our core values—Be an Owner, Growth Mindset, Run as One, Transparency —to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.\u003C/p>\n\u003Cp>With a global presence—including offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!\u003C/p>\u003Cp>Iterable is building the next generation of customer engagement, one where AI doesn’t just assist, it acts. Our platform is evolving into an AI-native system powered by Nova, enabling teams to translate goals into intelligent, real-time customer experiences across every channel. This isn’t about layering AI onto legacy tools; it’s about re-architecting how data, decisioning, and execution come together to create adaptive, agentic journeys at scale.\u003C/p>\n\u003Cp>Ready to move beyond pipelines and build intelligence-ready data systems? \u003C/p>\n\u003Cp>We are looking for a  \u003Cstrong>Senior Product Manager\u003C/strong> to define how the data moves, lives, and performs across Iterable. You’ll own the vision and roadmap for the full data lifecycle, from ingestion to intelligent storage to governed, high-performance access.\u003C/p>\n\u003Cp>You’ll shape the systems that power both messaging surfaces and Nova AI experiences, ensuring data is fast, reliable, and ready for real-time decisioning. \u003C/p>\n\u003Cp>Every campaign launched, every journey orchestrated, every model activated, it all depends on the foundations you build.\u003C/p>\n\u003Ch3>\u003Cstrong>How you'll make an impact: \u003C/strong>\u003C/h3>\n\u003Cp>\u003Cstrong>You will:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Define and execute the vision, strategy, and roadmap for our data platform, enabling scalable, reliable, and AI-ready data infrastructure.\u003C/li>\n\u003Cli>Build products that simplify the ingestion, transformation, governance, and activation of data across the platform.\u003C/li>\n\u003Cli>Drive the evolution of our data architecture to support real-time processing, analytics, AI, and personalization at scale.\u003C/li>\n\u003Cli>Establish a strong product strategy for data governance, quality, metadata, observability, and platform reliability.\u003C/li>\n\u003C/ul>\n\u003Ch3>In this role, you’ll get to\u003C/h3>\n\u003Cul>\n\u003Cli>Work at the heart of Iterable’s data plane—where decisions about ingestion, storage, schema, and queries shape everything built on top of it.\u003C/li>\n\u003Cli>Define and evolve the long-term strategy for Iterable’s Data connectivity, balancing innovation with stability.\u003C/li>\n\u003Cli>Make informed tradeoffs between parity, platform consistency, and differentiated innovation.\u003C/li>\n\u003Cli>Be the unwavering internal \"voice of the customer.\"\u003C/li>\n\u003Cli>Collaborate closely with Customer Success, Engineering, Marketing, Sales, and other PMs to ship outstanding products.\u003C/li>\n\u003Cli>Understand customer personas and use cases to define precise product requirements and deliver new features and enhancements.\u003C/li>\n\u003Cli>Develop comprehensive use cases and determine product specifications to launch new features and enhancements.\u003C/li>\n\u003Cli>Maintain thorough documentation of customer needs and product functionality.\u003C/li>\n\u003Cli>Research industry trends to uncover innovative product features and opportunities.\u003C/li>\n\u003C/ul>\n\u003Ch3>We Are Looking for People Who Have:\u003C/h3>\n\u003Cul>\n\u003Cli>Experience operating as a Senior Product Manager owning a technically complex, customer-facing data products/platform (e.g., data connectivity, data orchestration, data transforms).\u003C/li>\n\u003Cli>Experience building data platforms, including data ingestion, transformation, storage, governance, and APIs that enable analytics, AI, and product experiences.\u003C/li>\n\u003Cli>Experience with cloud data ecosystems such as Snowflake, Databricks, BigQuery, Redshift, or similar platforms\u003C/li>\n\u003Cli>Familiarity with data modeling, metadata management, data catalogs, lineage, and data quality frameworks\u003C/li>\n\u003Cli>Ability to balance platform investments with customer-facing outcomes, driving adoption across multiple product teams.\u003C/li>\n\u003Cli>Experience using product metrics and customer feedback to drive platform adoption, reliability, and developer productivity.\u003C/li>\n\u003Cli>Excellent communication and stakeholder management skills, with the ability to influence engineering, design, GTM, and executive leadership.\u003C/li>\n\u003C/ul>\n\u003Ch3>What we offer \u003C/h3>\n\u003Cul>\n\u003Cli>Competitive salaries & meaningful equity\u003C/li>\n\u003Cli>Private Medical Insurance\u003C/li>\n\u003Cli>Life/Risk Assurance\u003C/li>\n\u003Cli>Meal Allowance: 8.55€ per day\u003C/li>\n\u003Cli>Community Days (days for us to give back to the community) \u003C/li>\n\u003Cli>Paid Annual Leave (22 days)\u003C/li>\n\u003Cli>Global Lifestyle Reimbursement Account\u003C/li>\n\u003Cli>Paid Sabbatical\u003C/li>\n\u003Cli>Complete laptop workstation\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cem>The base salary range for this position in Lisbon, Portugal, is €60,000 – €75,000 per year (gross). This range is provided in anticipation of the requirements of the EU Pay Transparency Directive (2023/970), which EU member states are implementing into national law, and reflects the expected compensation at the start of employment for this role. The final offer will be determined based on your experience, qualifications, and performance throughout the selection process, while also ensuring alignment with our internal equity principles.\u003C/em>\u003C/p>\n\u003Cp>\u003Cstrong>Recruitment Disclaimer:\u003C/strong>\u003C/p>\n\u003Cp>Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:\u003C/p>\n\u003Cul>\n\u003Cli>Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.\u003C/li>\n\u003Cli>Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).\u003C/li>\n\u003Cli>Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.\u003C/li>\n\u003C/ul>\n\u003Cp>You may see all job vacancies on our official Iterable channels:\u003C/p>\n\u003Cul>\n\u003Cli>Official Iterable website, Careers page: https://iterable.com/careers/\u003C/li>\n\u003Cli>Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/\u003C/li>\n\u003C/ul>\n\u003Cp>Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at \u003Cstrong>talent-ops@iterable.com \u003C/strong>upon receiving a suspicious job offer.\u003C/p>\n\u003Cp>Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.\u003Cbr>\u003Cbr>Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.\u003C/p>","Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.\nOur success is powered by extraordinary people who bring our core values—Be an Owner, Growth Mindset, Run as One, Transparency —to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.\nWith a global presence—including offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!Iterable is building the next generation of customer engagement, one where AI doesn’t just assist, it acts. Our platform is evolving into an AI-native system powered by Nova, enabling teams to translate goals into intelligent, real-time customer experiences across every channel. This isn’t about layering AI onto legacy tools; it’s about re-architecting how data, decisioning, and execution come together to create adaptive, agentic journeys at scale.\nReady to move beyond pipelines and build intelligence-ready data systems? \nWe are looking for a  Senior Product Manager to define how the data moves, lives, and performs across Iterable. You’ll own the vision and roadmap for the full data lifecycle, from ingestion to intelligent storage to governed, high-performance access.\nYou’ll shape the systems that power both messaging surfaces and Nova AI experiences, ensuring data is fast, reliable, and ready for real-time decisioning. \nEvery campaign launched, every journey orchestrated, every model activated, it all depends on the foundations you build.\nHow you'll make an impact: \nYou will:\n\nDefine and execute the vision, strategy, and roadmap for our data platform, enabling scalable, reliable, and AI-ready data infrastructure.\nBuild products that simplify the ingestion, transformation, governance, and activation of data across the platform.\nDrive the evolution of our data architecture to support real-time processing, analytics, AI, and personalization at scale.\nEstablish a strong product strategy for data governance, quality, metadata, observability, and platform reliability.\n\nIn this role, you’ll get to\n\nWork at the heart of Iterable’s data plane—where decisions about ingestion, storage, schema, and queries shape everything built on top of it.\nDefine and evolve the long-term strategy for Iterable’s Data connectivity, balancing innovation with stability.\nMake informed tradeoffs between parity, platform consistency, and differentiated innovation.\nBe the unwavering internal \"voice of the customer.\"\nCollaborate closely with Customer Success, Engineering, Marketing, Sales, and other PMs to ship outstanding products.\nUnderstand customer personas and use cases to define precise product requirements and deliver new features and enhancements.\nDevelop comprehensive use cases and determine product specifications to launch new features and enhancements.\nMaintain thorough documentation of customer needs and product functionality.\nResearch industry trends to uncover innovative product features and opportunities.\n\nWe Are Looking for People Who Have:\n\nExperience operating as a Senior Product Manager owning a technically complex, customer-facing data products/platform (e.g., data connectivity, data orchestration, data transforms).\nExperience building data platforms, including data ingestion, transformation, storage, governance, and APIs that enable analytics, AI, and product experiences.\nExperience with cloud data ecosystems such as Snowflake, Databricks, BigQuery, Redshift, or similar platforms\nFamiliarity with data modeling, metadata management, data catalogs, lineage, and data quality frameworks\nAbility to balance platform investments with customer-facing outcomes, driving adoption across multiple product teams.\nExperience using product metrics and customer feedback to drive platform adoption, reliability, and developer productivity.\nExcellent communication and stakeholder management skills, with the ability to influence engineering, design, GTM, and executive leadership.\n\nWhat we offer \n\nCompetitive salaries & meaningful equity\nPrivate Medical Insurance\nLife/Risk Assurance\nMeal Allowance: 8.55€ per day\nCommunity Days (days for us to give back to the community) \nPaid Annual Leave (22 days)\nGlobal Lifestyle Reimbursement Account\nPaid Sabbatical\nComplete laptop workstation\n\nThe base salary range for this position in Lisbon, Portugal, is €60,000 – €75,000 per year (gross). This range is provided in anticipation of the requirements of the EU Pay Transparency Directive (2023/970), which EU member states are implementing into national law, and reflects the expected compensation at the start of employment for this role. The final offer will be determined based on your experience, qualifications, and performance throughout the selection process, while also ensuring alignment with our internal equity principles.\nRecruitment Disclaimer:\nPlease be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:\n\nSend job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.\nRequest money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).\nRequest or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.\n\nYou may see all job vacancies on our official Iterable channels:\n\nOfficial Iterable website, Careers page: https://iterable.com/careers/\nOfficial LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/\n\nIterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at talent-ops@iterable.com upon receiving a suspicious job offer.\nCriminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.","2026-07-30T08:59:32.000Z",{"jsonldValid":14,"jsonld":26},1786351346904]