[{"data":1,"prerenderedAt":107},["ShallowReactive",2],{"$fSUWga6OR5msCMg34diYT4Gt3i5zD_Wloenj--1i5NEI":3,"$fTCA1YGtq6b2i1mOrHfSzuPqWnhkaC4U_0afBo662yws":29},{"job":4},{"id":5,"applyToken":6,"slug":7,"title":8,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":13,"country":14,"remote":15,"employmentType":16,"department":18,"content_html":19,"content_text":20,"years":21,"createdAt":22,"updatedAtISO":23,"postedAtISO":24,"hasSalary":25,"salaryMin":21,"salaryMax":21,"currency":26,"schema":27},"2917251ee0c3473e09604ef246ca94fe8a7358c93adf0986eb409292df1e8f03","f3aaa8821b6285d51475cd6079ded33ff94c8255c65cf884ff6b400544e73e5d","senior-ai-engineer-us-at-typeform-99d11ee9a4","Senior AI Engineer - US","Typeform","https://cdn.jobboardwise.com/logo/typeform.com","A refreshingly different form builder.","Software Development","United States (Remote)","United States",true,[17],"Full-time","Engineering","\u003Ch3>Who we are\u003C/h3>\n\u003Cp>Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.\u003C/p>\u003Cp>\u003Cspan>Typeform is fully remote by design. For this role, we can hire candidates based in the ET timezone in the US.\u003Cbr>\u003C/span>\u003Cbr>\u003Cstrong>About the team\u003C/strong>\u003C/p>\n\u003Cp>The AI Engineering team builds the systems and capabilities behind Typeform’s AI products, including Research Flow, our platform for combining quantitative research with deeper qualitative insights.\u003C/p>\n\u003Cp>We use machine learning, large language models, RAG, and agentic systems to help customers collect, understand, and act on information in more conversational and personalised ways.\u003C/p>\n\u003Cp>Through Research Flow, this includes helping customers design studies, run AI-moderated conversations with adaptive follow-up questions, and turn responses into useful insights.\u003C/p>\n\u003Cp>The team owns the journey from experimentation through to production. This includes AI application development, evaluation, infrastructure, deployment, observability, reliability, and performance.\u003C/p>\n\u003Cp>You will work closely with Product Managers, Software Engineers, Data Scientists, Data Engineers, and Analytics teams to turn promising AI ideas into secure, scalable, and dependable customer experiences.\u003C/p>\n\u003Ch3>About the role\u003C/h3>\n\u003Cp>As a Senior AI Engineer at Typeform, you will be instrumental in building and evolving the AI capabilities behind Research Flow, alongside our broader AI products.\u003C/p>\n\u003Cp>Your work will help customers understand the “why” behind responses and move from research questions to informed decisions faster.\u003C/p>\n\u003Cp>Your scope will span generative AI applications, enterprise RAG systems, agentic workflows, model evaluation, machine learning pipelines, and the infrastructure required to run them reliably at scale.\u003C/p>\n\u003Cp>This is a hands-on engineering role with strong ownership. You will turn ideas and prototypes into production systems used by our customers, with direct influence on their quality and performance. You will also help define the technical standards for developing, evaluating, deploying, and monitoring AI across Typeform.\u003C/p>\n\u003Ch3>Things you will do\u003C/h3>\n\u003Ch3>Build and deliver AI products\u003C/h3>\n\u003Cul>\n\u003Cli>Design, build, and deploy generative AI capabilities across Typeform’s products, with a key contribution to Research Flow.\u003C/li>\n\u003Cli>Develop applications using large language models, RAG, vector search, and agentic systems.\u003C/li>\n\u003Cli>Build services and APIs that allow product teams to integrate AI capabilities into customer experiences.\u003C/li>\n\u003Cli>Turn prototypes into reliable production systems with clear measures of performance and quality.\u003C/li>\n\u003Cli>Explore new ways for customers to collect, understand, and act on information using AI.\u003C/li>\n\u003C/ul>\n\u003Ch3>Build scalable AI systems\u003C/h3>\n\u003Cul>\n\u003Cli>Design and operate machine learning services and workflows using Python, Docker, Kubernetes, and AWS.\u003C/li>\n\u003Cli>Build reliable pipelines for batch and real time processing using technologies such as Kafka and Airflow.\u003C/li>\n\u003Cli>Design solutions using vector databases to support retrieval, recommendations, personalisation, and semantic search.\u003C/li>\n\u003Cli>Use MLflow to manage experiments, model versions, registries, and deployments.\u003C/li>\n\u003Cli>Improve the reliability, performance, scalability, and cost efficiency of our AI systems.\u003C/li>\n\u003C/ul>\n\u003Ch3>Evaluate and improve AI quality\u003C/h3>\n\u003Cul>\n\u003Cli>Build automated evaluation pipelines for generative AI applications, including the conversational and analytical capabilities behind Research Flow.\u003C/li>\n\u003Cli>Develop benchmarks that measure accuracy, relevance, reliability, fairness, latency, and cost.\u003C/li>\n\u003Cli>Evaluate retrieval strategies, including chunking, embeddings, context selection, and reranking.\u003C/li>\n\u003Cli>Monitor AI systems in production and identify opportunities to improve their quality and performance.\u003C/li>\n\u003Cli>Create safeguards that reduce unexpected behaviour and protect customer data.\u003C/li>\n\u003C/ul>\n\u003Ch3>Shape our AI engineering practice\u003C/h3>\n\u003Cul>\n\u003Cli>Establish reusable patterns and technical standards for building, evaluating, and releasing AI systems.\u003C/li>\n\u003Cli>Help teams make informed decisions about models, frameworks, infrastructure, performance, and cost.\u003C/li>\n\u003Cli>Apply strong engineering practices across testing, security, observability, version control, and deployment.\u003C/li>\n\u003Cli>Share technical knowledge and support the development of other engineers.\u003C/li>\n\u003Cli>Keep up with relevant AI research, tools, and engineering practices, applying what is useful to Typeform.\u003C/li>\n\u003C/ul>\n\u003Ch3>Collaborate across Typeform\u003C/h3>\n\u003Cul>\n\u003Cli>Partner with Product, Engineering, Data Science, Data Engineering, and Analytics teams to connect AI investments with customer and business needs.\u003C/li>\n\u003Cli>Work with Data Scientists to turn experiments and models into reliable production services.\u003C/li>\n\u003Cli>Communicate technical concepts, risks, and tradeoffs clearly to technical and nontechnical partners.\u003C/li>\n\u003Cli>Contribute to technical planning and help shape the direction of AI across Typeform.\u003C/li>\n\u003C/ul>\n\u003Ch3>What you bring\u003C/h3>\n\u003Cul>\n\u003Cli>At least four years of experience building and deploying machine learning or AI systems in production.\u003C/li>\n\u003Cli>Strong Python and software engineering skills.\u003C/li>\n\u003Cli>Experience building production services using Python frameworks such as FastAPI.\u003C/li>\n\u003Cli>Practical experience developing generative AI applications using large language models, RAG, tool use, or agentic systems.\u003C/li>\n\u003Cli>Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies.\u003C/li>\n\u003Cli>A strong understanding of enterprise RAG systems, including chunking, embeddings, retrieval, reranking, evaluation, and monitoring.\u003C/li>\n\u003Cli>Experience creating automated evaluations for generative AI applications.\u003C/li>\n\u003Cli>Experience with AWS, Docker, Kubernetes, Terraform, and continuous integration and deployment practices.\u003C/li>\n\u003Cli>Experience using services such as AWS SageMaker or AWS Bedrock.\u003C/li>\n\u003Cli>Experience with Kafka, vector databases, or other technologies used for real time and high dimensional data processing.\u003C/li>\n\u003Cli>Experience managing machine learning workflows using MLflow.\u003C/li>\n\u003Cli>Experience monitoring production systems with tools such as Datadog or OpenSearch.\u003C/li>\n\u003Cli>The ability to balance quality, speed, reliability, scalability, and cost when making technical decisions.\u003C/li>\n\u003Cli>Strong communication skills and experience collaborating with Product, Engineering, and Data teams.\u003C/li>\n\u003C/ul>\n\u003Ch3>Extra awesome\u003C/h3>\n\u003Cul>\n\u003Cli>Experience working in a B2B SaaS product company.\u003C/li>\n\u003Cli>Experience with orchestration tools such as Airflow or Argo Workflows.\u003C/li>\n\u003Cli>Familiarity with SQL, Spark, Snowflake, or other data processing technologies.\u003C/li>\n\u003Cli>Experience building systems that combine structured data, unstructured data, and generative AI.\u003C/li>\n\u003Cli>Experience with AI security, privacy, responsible AI, prompt injection protection, or data leakage prevention.\u003C/li>\n\u003Cli>Experience improving the latency and cost of AI systems operating at scale.\u003C/li>\n\u003C/ul>\u003Cp>*Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We \u003Cstrong>move as one team\u003C/strong>, empowering our collective efforts by valuing each individual’s unique perspective. This fosters \u003Cstrong>strong bonds\u003C/strong> grounded in respect, transparency, and trust. We \u003Cstrong>champion our diverse customer base\u003C/strong> by anticipating their needs and addressing their challenges with priority. Committed to excellence, we\u003Cstrong> hold high expectations \u003C/strong>for ourselves and each other, continuously striving to deliver exceptional results.\u003C/p>\n\u003Cp>We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.\u003C/p>","Who we are Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot. Typeform is fully remote by design. For this role, we can hire candidates based in the ET timezone in the US. About the team The AI Engineering team builds the systems and capabilities behind Typeform’s AI products, including Research Flow, our platform for combining quantitative research with deeper qualitative insights. We use machine learning, large language models, RAG, and agentic systems to help customers collect, understand, and act on information in more conversational and personalised ways. Through Research Flow, this includes helping customers design studies, run AI-moderated conversations with adaptive follow-up questions, and turn responses into useful insights. The team owns the journey from experimentation through to production. This includes AI application development, evaluation, infrastructure, deployment, observability, reliability, and performance. You will work closely with Product Managers, Software Engineers, Data Scientists, Data Engineers, and Analytics teams to turn promising AI ideas into secure, scalable, and dependable customer experiences. About the role As a Senior AI Engineer at Typeform, you will be instrumental in building and evolving the AI capabilities behind Research Flow, alongside our broader AI products. Your work will help customers understand the “why” behind responses and move from research questions to informed decisions faster. Your scope will span generative AI applications, enterprise RAG systems, agentic workflows, model evaluation, machine learning pipelines, and the infrastructure required to run them reliably at scale. This is a hands-on engineering role with strong ownership. You will turn ideas and prototypes into production systems used by our customers, with direct influence on their quality and performance. You will also help define the technical standards for developing, evaluating, deploying, and monitoring AI across Typeform. Things you will do Build and deliver AI products Design, build, and deploy generative AI capabilities across Typeform’s products, with a key contribution to Research Flow. Develop applications using large language models, RAG, vector search, and agentic systems. Build services and APIs that allow product teams to integrate AI capabilities into customer experiences. Turn prototypes into reliable production systems with clear measures of performance and quality. Explore new ways for customers to collect, understand, and act on information using AI. Build scalable AI systems Design and operate machine learning services and workflows using Python, Docker, Kubernetes, and AWS. Build reliable pipelines for batch and real time processing using technologies such as Kafka and Airflow. Design solutions using vector databases to support retrieval, recommendations, personalisation, and semantic search. Use MLflow to manage experiments, model versions, registries, and deployments. Improve the reliability, performance, scalability, and cost efficiency of our AI systems. Evaluate and improve AI quality Build automated evaluation pipelines for generative AI applications, including the conversational and analytical capabilities behind Research Flow. Develop benchmarks that measure accuracy, relevance, reliability, fairness, latency, and cost. Evaluate retrieval strategies, including chunking, embeddings, context selection, and reranking. Monitor AI systems in production and identify opportunities to improve their quality and performance. Create safeguards that reduce unexpected behaviour and protect customer data. Shape our AI engineering practice Establish reusable patterns and technical standards for building, evaluating, and releasing AI systems. Help teams make informed decisions about models, frameworks, infrastructure, performance, and cost. Apply strong engineering practices across testing, security, observability, version control, and deployment. Share technical knowledge and support the development of other engineers. Keep up with relevant AI research, tools, and engineering practices, applying what is useful to Typeform. Collaborate across Typeform Partner with Product, Engineering, Data Science, Data Engineering, and Analytics teams to connect AI investments with customer and business needs. Work with Data Scientists to turn experiments and models into reliable production services. Communicate technical concepts, risks, and tradeoffs clearly to technical and nontechnical partners. Contribute to technical planning and help shape the direction of AI across Typeform. What you bring At least four years of experience building and deploying machine learning or AI systems in production. Strong Python and software engineering skills. Experience building production services using Python frameworks such as FastAPI. Practical experience developing generative AI applications using large language models, RAG, tool use, or agentic systems. Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies. A strong understanding of enterprise RAG systems, including chunking, embeddings, retrieval, reranking, evaluation, and monitoring. Experience creating automated evaluations for generative AI applications. Experience with AWS, Docker, Kubernetes, Terraform, and continuous integration and deployment practices. Experience using services such as AWS SageMaker or AWS Bedrock. Experience with Kafka, vector databases, or other technologies used for real time and high dimensional data processing. Experience managing machine learning workflows using MLflow. Experience monitoring production systems with tools such as Datadog or OpenSearch. The ability to balance quality, speed, reliability, scalability, and cost when making technical decisions. Strong communication skills and experience collaborating with Product, Engineering, and Data teams. Extra awesome Experience working in a B2B SaaS product company. Experience with orchestration tools such as Airflow or Argo Workflows. Familiarity with SQL, Spark, Snowflake, or other data processing technologies. Experience building systems that combine structured data, unstructured data, and generative AI. Experience with AI security, privacy, responsible AI, prompt injection protection, or data leakage prevention. Experience improving the latency and cost of AI systems operating at scale. *Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team , empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results. We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.",0,1790004481000,"2026-09-21 17:32:50","2026-09-21T05:59:54-04:00",false,"USD",{"jsonldValid":25,"jsonld":28},"",{"jobs":30},[31,44,56,72,81,91],{"id":32,"applyToken":33,"slug":34,"title":35,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":36,"country":37,"remote":15,"employmentType":38,"department":18,"content_html":39,"content_text":40,"years":21,"createdAt":22,"updatedAtISO":23,"postedAtISO":41,"hasSalary":25,"salaryMin":21,"salaryMax":21,"currency":42,"schema":43},"437fea1a88e30c207e7320b1baac44d6df3e6dca9fa40786b5a76d7f48f5b7f2","8dcea7a91dccd7db7735c38cea13603c108de5bb6a2f8d25f4ce2a7346ae0d21","staff-ai-engineer-eu-at-typeform-c062253692","Staff AI Engineer - EU","United Kingdom (Remote)","United Kingdom",[17],"\u003Ch3>Who we are\u003C/h3>\n\u003Cp>Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.\u003C/p>\u003Cp>\u003Cspan>Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Portugal, Spain or the Netherlands.\u003Cbr>\u003C/span>\u003Cbr>\u003Cstrong>About the team\u003C/strong>\u003C/p>\n\u003Cp>The AI Engineering team builds the systems and capabilities behind Typeform’s AI products, including Research Flow, our platform for combining quantitative research with deeper qualitative insights.\u003C/p>\n\u003Cp>We use machine learning, large language models, RAG, and agentic systems to help customers collect, understand, and act on information in more conversational and personalised ways.\u003C/p>\n\u003Cp>Through Research Flow, this includes helping customers design studies, run AI-moderated conversations with adaptive follow-up questions, and turn responses into useful insights.\u003C/p>\n\u003Cp>The team owns the journey from experimentation through to production. This includes AI application development, evaluation, infrastructure, deployment, observability, reliability, and performance.\u003C/p>\n\u003Cp>You will work closely with Product Managers, Software Engineers, Data Scientists, Data Engineers, and Analytics teams to turn promising AI ideas into secure, scalable, and dependable customer experiences.\u003C/p>\n\u003Ch3>About the role\u003C/h3>\n\u003Cp>As a Staff AI Engineer at Typeform, you will play a central role in shaping the technical direction of Research Flow and the AI systems that support our broader products.\u003C/p>\n\u003Cp>You will take ownership of complex engineering challenges that span teams, from defining architecture and testing new approaches to delivering and operating production systems. A key part of your role will be connecting individual AI capabilities into a dependable customer experience.\u003C/p>\n\u003Cp>Your scope will span generative AI applications, enterprise RAG systems, agentic workflows, model evaluation, machine learning pipelines, and the infrastructure required to run them reliably at scale.\u003C/p>\n\u003Cp>This is a hands-on individual contributor role with influence beyond a single project. You will lead through technical judgement, delivery, and collaboration, helping teams make sound decisions and building foundations that other engineers can use.\u003C/p>\n\u003Ch3>Things you will do\u003C/h3>\n\u003Cp>\u003Cstrong>Shape the technical direction of Research Flow\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Partner with Product and Engineering leaders to translate Research Flow’s product ambitions into a clear technical direction and delivery priorities.\u003C/li>\n\u003Cli>Lead architectural decisions across AI-assisted study design, adaptive conversations, and research synthesis.\u003C/li>\n\u003Cli>Identify the technical constraints and dependencies that matter most, and help teams address them early.\u003C/li>\n\u003Cli>Define how AI capabilities, data flows, and services work together as the product evolves.\u003C/li>\n\u003Cli>Balance immediate delivery needs with longer-term reliability, scalability, and maintainability.\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Lead and deliver complex AI engineering work\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Take technical ownership of ambiguous problems, from defining the problem and exploring approaches through to production delivery.\u003C/li>\n\u003Cli>Design and build generative AI applications using large language models, RAG, vector search, tool use, and agentic systems.\u003C/li>\n\u003Cli>Stay close to implementation through prototyping, production code, design reviews, and debugging.\u003C/li>\n\u003Cli>Lead initiatives that require coordination across Product, Engineering, Data Science, and Data Engineering.\u003C/li>\n\u003Cli>Build reusable services and APIs that help product teams deliver AI capabilities consistently.\u003C/li>\n\u003Cli>Make pragmatic decisions about when to build, buy, simplify, or stop an approach.\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Build scalable AI foundations\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Guide the architecture of machine learning services and workflows using Python, Docker, Kubernetes, and AWS.\u003C/li>\n\u003Cli>Design reliable pipelines for batch and real-time processing using technologies such as Kafka and Airflow.\u003C/li>\n\u003Cli>Establish patterns for retrieval, vector search, model orchestration, and working with structured and unstructured data.\u003C/li>\n\u003Cli>Improve how we manage experiments, model versions, registries, and deployments using tools such as MLflow.\u003C/li>\n\u003Cli>Identify and resolve performance, reliability, and cost bottlenecks across our AI systems.\u003C/li>\n\u003Cli>Help teams choose infrastructure and tools that fit the problem and can be operated sustainably.\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Set the standard for AI quality\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Define evaluation strategies and release criteria for generative AI applications, including Research Flow’s conversational and analytical capabilities.\u003C/li>\n\u003Cli>Guide the development of automated benchmarks covering accuracy, relevance, reliability, fairness, latency, and cost.\u003C/li>\n\u003Cli>Establish ways to assess whether AI-generated follow-up questions are useful and whether summaries and insights are grounded in participants’ responses.\u003C/li>\n\u003Cli>Lead improvements to retrieval quality, including chunking, embeddings, context selection, and reranking.\u003C/li>\n\u003Cli>Connect offline evaluation with production monitoring and customer feedback to guide improvements.\u003C/li>\n\u003Cli>Build security, privacy, and safeguards against unexpected model behaviour into system design.\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Raise engineering standards across teams\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Establish reusable patterns and technical standards for building, evaluating, deploying, and operating AI systems.\u003C/li>\n\u003Cli>Help engineers reason through difficult technical decisions and make trade-offs explicit.\u003C/li>\n\u003Cli>Mentor engineers and support other technical leads in growing their ownership and judgement.\u003C/li>\n\u003Cli>Improve engineering practices across testing, observability, security, incident response, and deployment.\u003C/li>\n\u003Cli>Build alignment around technical decisions through clear proposals, constructive discussion, and evidence.\u003C/li>\n\u003Cli>Evaluate relevant AI research and emerging tools, and help teams adopt what delivers practical value.\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Connect technical work to customer outcomes\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Work with Product and Engineering partners to prioritise AI investments based on customer needs, technical feasibility, and business impact.\u003C/li>\n\u003Cli>Help define measurable outcomes for AI initiatives and use them to assess whether an approach is working.\u003C/li>\n\u003Cli>Communicate technical concepts, risks, and trade-offs clearly to technical and nontechnical partners.\u003C/li>\n\u003Cli>Contribute to planning across teams, making dependencies and sequencing clear.\u003C/li>\n\u003Cli>Help shape the broader direction of AI at Typeform through lessons learned from building and scaling Research Flow.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cbr>What you bring\u003C/h3>\n\u003Cul>\n\u003Cli>Significant experience building and operating machine learning or AI systems in production, with evidence of technical leadership beyond your own projects.\u003C/li>\n\u003Cli>A track record of leading complex engineering initiatives across teams, from ambiguous requirements to measurable production outcomes.\u003C/li>\n\u003Cli>Strong Python and software engineering skills, with the ability to contribute directly to production code.\u003C/li>\n\u003Cli>Experience designing production services and APIs using frameworks such as FastAPI.\u003C/li>\n\u003Cli>Practical experience building generative AI applications using large language models, RAG, tool use, or agentic systems.\u003C/li>\n\u003Cli>A strong understanding of enterprise RAG systems, including retrieval architecture, chunking, embeddings, reranking, evaluation, and monitoring.\u003C/li>\n\u003Cli>Experience defining evaluation approaches and using evidence to guide model, architecture, and release decisions.\u003C/li>\n\u003Cli>Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies.\u003C/li>\n\u003Cli>Strong experience designing and operating cloud systems using AWS, Docker, Kubernetes, Terraform, and continuous integration and deployment practices.\u003C/li>\n\u003Cli>Familiarity with services such as AWS SageMaker or AWS Bedrock.\u003C/li>\n\u003Cli>Experience with event-driven processing, vector databases, and machine learning lifecycle tools such as Kafka and MLflow, or comparable technologies.\u003C/li>\n\u003Cli>Experience establishing observability and diagnosing production issues using tools such as Datadog or OpenSearch.\u003C/li>\n\u003Cli>Sound judgement when balancing delivery speed, quality, reliability, scalability, security, and cost.\u003C/li>\n\u003Cli>The ability to influence technical decisions across teams and build alignment without relying on formal authority.\u003C/li>\n\u003Cli>Experience mentoring engineers and improving the effectiveness of the teams around you.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cbr>Extra awesome\u003C/h3>\n\u003Cul>\n\u003Cli>Experience working in a B2B SaaS product company.\u003C/li>\n\u003Cli>Experience building conversational AI, adaptive interviewing, or automated analysis and summarisation systems.\u003C/li>\n\u003Cli>Experience working with text, audio, or video in AI applications.\u003C/li>\n\u003Cli>Experience evolving shared AI infrastructure or platforms used by multiple product teams.\u003C/li>\n\u003Cli>Experience with orchestration tools such as Airflow or Argo Workflows.\u003C/li>\n\u003Cli>Familiarity with SQL, Spark, Snowflake, or other data processing technologies.\u003C/li>\n\u003Cli>Experience with AI security, privacy, responsible AI, prompt injection protection, or data leakage prevention.\u003C/li>\n\u003Cli>Experience materially improving the latency, reliability, or cost of AI systems operating at scale.\u003C/li>\n\u003C/ul>\u003Cp>*Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We \u003Cstrong>move as one team\u003C/strong>, empowering our collective efforts by valuing each individual’s unique perspective. This fosters \u003Cstrong>strong bonds\u003C/strong> grounded in respect, transparency, and trust. We \u003Cstrong>champion our diverse customer base\u003C/strong> by anticipating their needs and addressing their challenges with priority. Committed to excellence, we\u003Cstrong> hold high expectations \u003C/strong>for ourselves and each other, continuously striving to deliver exceptional results.\u003C/p>\n\u003Cp>We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.\u003C/p>","Who we are Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot. Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Portugal, Spain or the Netherlands. About the team The AI Engineering team builds the systems and capabilities behind Typeform’s AI products, including Research Flow, our platform for combining quantitative research with deeper qualitative insights. We use machine learning, large language models, RAG, and agentic systems to help customers collect, understand, and act on information in more conversational and personalised ways. Through Research Flow, this includes helping customers design studies, run AI-moderated conversations with adaptive follow-up questions, and turn responses into useful insights. The team owns the journey from experimentation through to production. This includes AI application development, evaluation, infrastructure, deployment, observability, reliability, and performance. You will work closely with Product Managers, Software Engineers, Data Scientists, Data Engineers, and Analytics teams to turn promising AI ideas into secure, scalable, and dependable customer experiences. About the role As a Staff AI Engineer at Typeform, you will play a central role in shaping the technical direction of Research Flow and the AI systems that support our broader products. You will take ownership of complex engineering challenges that span teams, from defining architecture and testing new approaches to delivering and operating production systems. A key part of your role will be connecting individual AI capabilities into a dependable customer experience. Your scope will span generative AI applications, enterprise RAG systems, agentic workflows, model evaluation, machine learning pipelines, and the infrastructure required to run them reliably at scale. This is a hands-on individual contributor role with influence beyond a single project. You will lead through technical judgement, delivery, and collaboration, helping teams make sound decisions and building foundations that other engineers can use. Things you will do Shape the technical direction of Research Flow Partner with Product and Engineering leaders to translate Research Flow’s product ambitions into a clear technical direction and delivery priorities. Lead architectural decisions across AI-assisted study design, adaptive conversations, and research synthesis. Identify the technical constraints and dependencies that matter most, and help teams address them early. Define how AI capabilities, data flows, and services work together as the product evolves. Balance immediate delivery needs with longer-term reliability, scalability, and maintainability. Lead and deliver complex AI engineering work Take technical ownership of ambiguous problems, from defining the problem and exploring approaches through to production delivery. Design and build generative AI applications using large language models, RAG, vector search, tool use, and agentic systems. Stay close to implementation through prototyping, production code, design reviews, and debugging. Lead initiatives that require coordination across Product, Engineering, Data Science, and Data Engineering. Build reusable services and APIs that help product teams deliver AI capabilities consistently. Make pragmatic decisions about when to build, buy, simplify, or stop an approach. Build scalable AI foundations Guide the architecture of machine learning services and workflows using Python, Docker, Kubernetes, and AWS. Design reliable pipelines for batch and real-time processing using technologies such as Kafka and Airflow. Establish patterns for retrieval, vector search, model orchestration, and working with structured and unstructured data. Improve how we manage experiments, model versions, registries, and deployments using tools such as MLflow. Identify and resolve performance, reliability, and cost bottlenecks across our AI systems. Help teams choose infrastructure and tools that fit the problem and can be operated sustainably. Set the standard for AI quality Define evaluation strategies and release criteria for generative AI applications, including Research Flow’s conversational and analytical capabilities. Guide the development of automated benchmarks covering accuracy, relevance, reliability, fairness, latency, and cost. Establish ways to assess whether AI-generated follow-up questions are useful and whether summaries and insights are grounded in participants’ responses. Lead improvements to retrieval quality, including chunking, embeddings, context selection, and reranking. Connect offline evaluation with production monitoring and customer feedback to guide improvements. Build security, privacy, and safeguards against unexpected model behaviour into system design. Raise engineering standards across teams Establish reusable patterns and technical standards for building, evaluating, deploying, and operating AI systems. Help engineers reason through difficult technical decisions and make trade-offs explicit. Mentor engineers and support other technical leads in growing their ownership and judgement. Improve engineering practices across testing, observability, security, incident response, and deployment. Build alignment around technical decisions through clear proposals, constructive discussion, and evidence. Evaluate relevant AI research and emerging tools, and help teams adopt what delivers practical value. Connect technical work to customer outcomes Work with Product and Engineering partners to prioritise AI investments based on customer needs, technical feasibility, and business impact. Help define measurable outcomes for AI initiatives and use them to assess whether an approach is working. Communicate technical concepts, risks, and trade-offs clearly to technical and nontechnical partners. Contribute to planning across teams, making dependencies and sequencing clear. Help shape the broader direction of AI at Typeform through lessons learned from building and scaling Research Flow. What you bring Significant experience building and operating machine learning or AI systems in production, with evidence of technical leadership beyond your own projects. A track record of leading complex engineering initiatives across teams, from ambiguous requirements to measurable production outcomes. Strong Python and software engineering skills, with the ability to contribute directly to production code. Experience designing production services and APIs using frameworks such as FastAPI. Practical experience building generative AI applications using large language models, RAG, tool use, or agentic systems. A strong understanding of enterprise RAG systems, including retrieval architecture, chunking, embeddings, reranking, evaluation, and monitoring. Experience defining evaluation approaches and using evidence to guide model, architecture, and release decisions. Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies. Strong experience designing and operating cloud systems using AWS, Docker, Kubernetes, Terraform, and continuous integration and deployment practices. Familiarity with services such as AWS SageMaker or AWS Bedrock. Experience with event-driven processing, vector databases, and machine learning lifecycle tools such as Kafka and MLflow, or comparable technologies. Experience establishing observability and diagnosing production issues using tools such as Datadog or OpenSearch. Sound judgement when balancing delivery speed, quality, reliability, scalability, security, and cost. The ability to influence technical decisions across teams and build alignment without relying on formal authority. Experience mentoring engineers and improving the effectiveness of the teams around you. Extra awesome Experience working in a B2B SaaS product company. Experience building conversational AI, adaptive interviewing, or automated analysis and summarisation systems. Experience working with text, audio, or video in AI applications. Experience evolving shared AI infrastructure or platforms used by multiple product teams. Experience with orchestration tools such as Airflow or Argo Workflows. Familiarity with SQL, Spark, Snowflake, or other data processing technologies. Experience with AI security, privacy, responsible AI, prompt injection protection, or data leakage prevention. Experience materially improving the latency, reliability, or cost of AI systems operating at scale. *Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team , empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results. We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.","2026-09-21T05:58:53-04:00","GBP",{"jsonldValid":25,"jsonld":28},{"id":45,"applyToken":46,"slug":47,"title":48,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":13,"country":14,"remote":15,"employmentType":49,"department":18,"content_html":50,"content_text":51,"years":21,"createdAt":22,"updatedAtISO":23,"postedAtISO":52,"hasSalary":25,"salaryMin":53,"salaryMax":54,"currency":26,"schema":55},"cff80abf9f072c8d328b28729dd16d1913afead8a7e5ad83ba566871d62dbff5","837164191967b4f4de997f163d5e1979d50b24c80e86932952cf0d36d87f460a","staff-ai-engineer-us-at-typeform-39be75d79a","Staff AI Engineer - US",[17],"\u003Ch3>Who we are\u003C/h3>\n\u003Cp>Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.\u003C/p>\u003Cp>\u003Cspan>Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Portugal, Spain or the Netherlands.\u003Cbr>\u003C/span>\u003Cbr>\u003Cstrong>About the team\u003C/strong>\u003C/p>\n\u003Cp>The AI Engineering team builds the systems and capabilities behind Typeform’s AI products, including Research Flow, our platform for combining quantitative research with deeper qualitative insights.\u003C/p>\n\u003Cp>We use machine learning, large language models, RAG, and agentic systems to help customers collect, understand, and act on information in more conversational and personalised ways.\u003C/p>\n\u003Cp>Through Research Flow, this includes helping customers design studies, run AI-moderated conversations with adaptive follow-up questions, and turn responses into useful insights.\u003C/p>\n\u003Cp>The team owns the journey from experimentation through to production. This includes AI application development, evaluation, infrastructure, deployment, observability, reliability, and performance.\u003C/p>\n\u003Cp>You will work closely with Product Managers, Software Engineers, Data Scientists, Data Engineers, and Analytics teams to turn promising AI ideas into secure, scalable, and dependable customer experiences.\u003C/p>\n\u003Ch3>About the role\u003C/h3>\n\u003Cp>As a Staff AI Engineer at Typeform, you will play a central role in shaping the technical direction of Research Flow and the AI systems that support our broader products.\u003C/p>\n\u003Cp>You will take ownership of complex engineering challenges that span teams, from defining architecture and testing new approaches to delivering and operating production systems. A key part of your role will be connecting individual AI capabilities into a dependable customer experience.\u003C/p>\n\u003Cp>Your scope will span generative AI applications, enterprise RAG systems, agentic workflows, model evaluation, machine learning pipelines, and the infrastructure required to run them reliably at scale.\u003C/p>\n\u003Cp>This is a hands-on individual contributor role with influence beyond a single project. You will lead through technical judgement, delivery, and collaboration, helping teams make sound decisions and building foundations that other engineers can use.\u003C/p>\n\u003Ch3>Things you will do\u003C/h3>\n\u003Cp>\u003Cstrong>Shape the technical direction of Research Flow\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Partner with Product and Engineering leaders to translate Research Flow’s product ambitions into a clear technical direction and delivery priorities.\u003C/li>\n\u003Cli>Lead architectural decisions across AI-assisted study design, adaptive conversations, and research synthesis.\u003C/li>\n\u003Cli>Identify the technical constraints and dependencies that matter most, and help teams address them early.\u003C/li>\n\u003Cli>Define how AI capabilities, data flows, and services work together as the product evolves.\u003C/li>\n\u003Cli>Balance immediate delivery needs with longer-term reliability, scalability, and maintainability.\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Lead and deliver complex AI engineering work\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Take technical ownership of ambiguous problems, from defining the problem and exploring approaches through to production delivery.\u003C/li>\n\u003Cli>Design and build generative AI applications using large language models, RAG, vector search, tool use, and agentic systems.\u003C/li>\n\u003Cli>Stay close to implementation through prototyping, production code, design reviews, and debugging.\u003C/li>\n\u003Cli>Lead initiatives that require coordination across Product, Engineering, Data Science, and Data Engineering.\u003C/li>\n\u003Cli>Build reusable services and APIs that help product teams deliver AI capabilities consistently.\u003C/li>\n\u003Cli>Make pragmatic decisions about when to build, buy, simplify, or stop an approach.\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Build scalable AI foundations\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Guide the architecture of machine learning services and workflows using Python, Docker, Kubernetes, and AWS.\u003C/li>\n\u003Cli>Design reliable pipelines for batch and real-time processing using technologies such as Kafka and Airflow.\u003C/li>\n\u003Cli>Establish patterns for retrieval, vector search, model orchestration, and working with structured and unstructured data.\u003C/li>\n\u003Cli>Improve how we manage experiments, model versions, registries, and deployments using tools such as MLflow.\u003C/li>\n\u003Cli>Identify and resolve performance, reliability, and cost bottlenecks across our AI systems.\u003C/li>\n\u003Cli>Help teams choose infrastructure and tools that fit the problem and can be operated sustainably.\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Set the standard for AI quality\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Define evaluation strategies and release criteria for generative AI applications, including Research Flow’s conversational and analytical capabilities.\u003C/li>\n\u003Cli>Guide the development of automated benchmarks covering accuracy, relevance, reliability, fairness, latency, and cost.\u003C/li>\n\u003Cli>Establish ways to assess whether AI-generated follow-up questions are useful and whether summaries and insights are grounded in participants’ responses.\u003C/li>\n\u003Cli>Lead improvements to retrieval quality, including chunking, embeddings, context selection, and reranking.\u003C/li>\n\u003Cli>Connect offline evaluation with production monitoring and customer feedback to guide improvements.\u003C/li>\n\u003Cli>Build security, privacy, and safeguards against unexpected model behaviour into system design.\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Raise engineering standards across teams\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Establish reusable patterns and technical standards for building, evaluating, deploying, and operating AI systems.\u003C/li>\n\u003Cli>Help engineers reason through difficult technical decisions and make trade-offs explicit.\u003C/li>\n\u003Cli>Mentor engineers and support other technical leads in growing their ownership and judgement.\u003C/li>\n\u003Cli>Improve engineering practices across testing, observability, security, incident response, and deployment.\u003C/li>\n\u003Cli>Build alignment around technical decisions through clear proposals, constructive discussion, and evidence.\u003C/li>\n\u003Cli>Evaluate relevant AI research and emerging tools, and help teams adopt what delivers practical value.\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong>Connect technical work to customer outcomes\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Work with Product and Engineering partners to prioritise AI investments based on customer needs, technical feasibility, and business impact.\u003C/li>\n\u003Cli>Help define measurable outcomes for AI initiatives and use them to assess whether an approach is working.\u003C/li>\n\u003Cli>Communicate technical concepts, risks, and trade-offs clearly to technical and nontechnical partners.\u003C/li>\n\u003Cli>Contribute to planning across teams, making dependencies and sequencing clear.\u003C/li>\n\u003Cli>Help shape the broader direction of AI at Typeform through lessons learned from building and scaling Research Flow.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cbr>What you bring\u003C/h3>\n\u003Cul>\n\u003Cli>Significant experience building and operating machine learning or AI systems in production, with evidence of technical leadership beyond your own projects.\u003C/li>\n\u003Cli>A track record of leading complex engineering initiatives across teams, from ambiguous requirements to measurable production outcomes.\u003C/li>\n\u003Cli>Strong Python and software engineering skills, with the ability to contribute directly to production code.\u003C/li>\n\u003Cli>Experience designing production services and APIs using frameworks such as FastAPI.\u003C/li>\n\u003Cli>Practical experience building generative AI applications using large language models, RAG, tool use, or agentic systems.\u003C/li>\n\u003Cli>A strong understanding of enterprise RAG systems, including retrieval architecture, chunking, embeddings, reranking, evaluation, and monitoring.\u003C/li>\n\u003Cli>Experience defining evaluation approaches and using evidence to guide model, architecture, and release decisions.\u003C/li>\n\u003Cli>Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies.\u003C/li>\n\u003Cli>Strong experience designing and operating cloud systems using AWS, Docker, Kubernetes, Terraform, and continuous integration and deployment practices.\u003C/li>\n\u003Cli>Familiarity with services such as AWS SageMaker or AWS Bedrock.\u003C/li>\n\u003Cli>Experience with event-driven processing, vector databases, and machine learning lifecycle tools such as Kafka and MLflow, or comparable technologies.\u003C/li>\n\u003Cli>Experience establishing observability and diagnosing production issues using tools such as Datadog or OpenSearch.\u003C/li>\n\u003Cli>Sound judgement when balancing delivery speed, quality, reliability, scalability, security, and cost.\u003C/li>\n\u003Cli>The ability to influence technical decisions across teams and build alignment without relying on formal authority.\u003C/li>\n\u003Cli>Experience mentoring engineers and improving the effectiveness of the teams around you.\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cbr>Extra awesome\u003C/h3>\n\u003Cul>\n\u003Cli>Experience working in a B2B SaaS product company.\u003C/li>\n\u003Cli>Experience building conversational AI, adaptive interviewing, or automated analysis and summarisation systems.\u003C/li>\n\u003Cli>Experience working with text, audio, or video in AI applications.\u003C/li>\n\u003Cli>Experience evolving shared AI infrastructure or platforms used by multiple product teams.\u003C/li>\n\u003Cli>Experience with orchestration tools such as Airflow or Argo Workflows.\u003C/li>\n\u003Cli>Familiarity with SQL, Spark, Snowflake, or other data processing technologies.\u003C/li>\n\u003Cli>Experience with AI security, privacy, responsible AI, prompt injection protection, or data leakage prevention.\u003C/li>\n\u003Cli>Experience materially improving the latency, reliability, or cost of AI systems operating at scale.\u003C/li>\n\u003C/ul>\u003Cp>\u003Cem>No one likes a guessing game — that’s why we're transparent about the salary range for this role. In addition to the base, we offer a 5-10% bonus depending on your level and performance. The range is broad because we tailor total compensation based on your location, experience, education, and skillset.\u003Cbr>We also want to ensure equitable pay across the team and alignment with market data — but let us handle those details. We’re committed to clarity and honesty, so feel free to ask us anything along the way.\u003C/em>\u003C/p>\n\n\n\n\n\n\n\n\n\n\n\n\u003Cp>Pay range\u003C/p>\u003Cp>$170,000—$210,000 USD\u003C/p>\u003Cp>*Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We \u003Cstrong>move as one team\u003C/strong>, empowering our collective efforts by valuing each individual’s unique perspective. This fosters \u003Cstrong>strong bonds\u003C/strong> grounded in respect, transparency, and trust. We \u003Cstrong>champion our diverse customer base\u003C/strong> by anticipating their needs and addressing their challenges with priority. Committed to excellence, we\u003Cstrong> hold high expectations \u003C/strong>for ourselves and each other, continuously striving to deliver exceptional results.\u003C/p>\n\u003Cp>We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.\u003C/p>","Who we are Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot. Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Portugal, Spain or the Netherlands. About the team The AI Engineering team builds the systems and capabilities behind Typeform’s AI products, including Research Flow, our platform for combining quantitative research with deeper qualitative insights. We use machine learning, large language models, RAG, and agentic systems to help customers collect, understand, and act on information in more conversational and personalised ways. Through Research Flow, this includes helping customers design studies, run AI-moderated conversations with adaptive follow-up questions, and turn responses into useful insights. The team owns the journey from experimentation through to production. This includes AI application development, evaluation, infrastructure, deployment, observability, reliability, and performance. You will work closely with Product Managers, Software Engineers, Data Scientists, Data Engineers, and Analytics teams to turn promising AI ideas into secure, scalable, and dependable customer experiences. About the role As a Staff AI Engineer at Typeform, you will play a central role in shaping the technical direction of Research Flow and the AI systems that support our broader products. You will take ownership of complex engineering challenges that span teams, from defining architecture and testing new approaches to delivering and operating production systems. A key part of your role will be connecting individual AI capabilities into a dependable customer experience. Your scope will span generative AI applications, enterprise RAG systems, agentic workflows, model evaluation, machine learning pipelines, and the infrastructure required to run them reliably at scale. This is a hands-on individual contributor role with influence beyond a single project. You will lead through technical judgement, delivery, and collaboration, helping teams make sound decisions and building foundations that other engineers can use. Things you will do Shape the technical direction of Research Flow Partner with Product and Engineering leaders to translate Research Flow’s product ambitions into a clear technical direction and delivery priorities. Lead architectural decisions across AI-assisted study design, adaptive conversations, and research synthesis. Identify the technical constraints and dependencies that matter most, and help teams address them early. Define how AI capabilities, data flows, and services work together as the product evolves. Balance immediate delivery needs with longer-term reliability, scalability, and maintainability. Lead and deliver complex AI engineering work Take technical ownership of ambiguous problems, from defining the problem and exploring approaches through to production delivery. Design and build generative AI applications using large language models, RAG, vector search, tool use, and agentic systems. Stay close to implementation through prototyping, production code, design reviews, and debugging. Lead initiatives that require coordination across Product, Engineering, Data Science, and Data Engineering. Build reusable services and APIs that help product teams deliver AI capabilities consistently. Make pragmatic decisions about when to build, buy, simplify, or stop an approach. Build scalable AI foundations Guide the architecture of machine learning services and workflows using Python, Docker, Kubernetes, and AWS. Design reliable pipelines for batch and real-time processing using technologies such as Kafka and Airflow. Establish patterns for retrieval, vector search, model orchestration, and working with structured and unstructured data. Improve how we manage experiments, model versions, registries, and deployments using tools such as MLflow. Identify and resolve performance, reliability, and cost bottlenecks across our AI systems. Help teams choose infrastructure and tools that fit the problem and can be operated sustainably. Set the standard for AI quality Define evaluation strategies and release criteria for generative AI applications, including Research Flow’s conversational and analytical capabilities. Guide the development of automated benchmarks covering accuracy, relevance, reliability, fairness, latency, and cost. Establish ways to assess whether AI-generated follow-up questions are useful and whether summaries and insights are grounded in participants’ responses. Lead improvements to retrieval quality, including chunking, embeddings, context selection, and reranking. Connect offline evaluation with production monitoring and customer feedback to guide improvements. Build security, privacy, and safeguards against unexpected model behaviour into system design. Raise engineering standards across teams Establish reusable patterns and technical standards for building, evaluating, deploying, and operating AI systems. Help engineers reason through difficult technical decisions and make trade-offs explicit. Mentor engineers and support other technical leads in growing their ownership and judgement. Improve engineering practices across testing, observability, security, incident response, and deployment. Build alignment around technical decisions through clear proposals, constructive discussion, and evidence. Evaluate relevant AI research and emerging tools, and help teams adopt what delivers practical value. Connect technical work to customer outcomes Work with Product and Engineering partners to prioritise AI investments based on customer needs, technical feasibility, and business impact. Help define measurable outcomes for AI initiatives and use them to assess whether an approach is working. Communicate technical concepts, risks, and trade-offs clearly to technical and nontechnical partners. Contribute to planning across teams, making dependencies and sequencing clear. Help shape the broader direction of AI at Typeform through lessons learned from building and scaling Research Flow. What you bring Significant experience building and operating machine learning or AI systems in production, with evidence of technical leadership beyond your own projects. A track record of leading complex engineering initiatives across teams, from ambiguous requirements to measurable production outcomes. Strong Python and software engineering skills, with the ability to contribute directly to production code. Experience designing production services and APIs using frameworks such as FastAPI. Practical experience building generative AI applications using large language models, RAG, tool use, or agentic systems. A strong understanding of enterprise RAG systems, including retrieval architecture, chunking, embeddings, reranking, evaluation, and monitoring. Experience defining evaluation approaches and using evidence to guide model, architecture, and release decisions. Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies. Strong experience designing and operating cloud systems using AWS, Docker, Kubernetes, Terraform, and continuous integration and deployment practices. Familiarity with services such as AWS SageMaker or AWS Bedrock. Experience with event-driven processing, vector databases, and machine learning lifecycle tools such as Kafka and MLflow, or comparable technologies. Experience establishing observability and diagnosing production issues using tools such as Datadog or OpenSearch. Sound judgement when balancing delivery speed, quality, reliability, scalability, security, and cost. The ability to influence technical decisions across teams and build alignment without relying on formal authority. Experience mentoring engineers and improving the effectiveness of the teams around you. Extra awesome Experience working in a B2B SaaS product company. Experience building conversational AI, adaptive interviewing, or automated analysis and summarisation systems. Experience working with text, audio, or video in AI applications. Experience evolving shared AI infrastructure or platforms used by multiple product teams. Experience with orchestration tools such as Airflow or Argo Workflows. Familiarity with SQL, Spark, Snowflake, or other data processing technologies. Experience with AI security, privacy, responsible AI, prompt injection protection, or data leakage prevention. Experience materially improving the latency, reliability, or cost of AI systems operating at scale. No one likes a guessing game — that’s why we're transparent about the salary range for this role. In addition to the base, we offer a 5-10% bonus depending on your level and performance. The range is broad because we tailor total compensation based on your location, experience, education, and skillset. We also want to ensure equitable pay across the team and alignment with market data — but let us handle those details. We’re committed to clarity and honesty, so feel free to ask us anything along the way. Pay range $170,000—$210,000 USD *Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team , empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results. We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.","2026-09-21T05:58:45-04:00",170000,210000,{"jsonldValid":25,"jsonld":28},{"id":57,"applyToken":58,"slug":59,"title":60,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":13,"country":14,"remote":15,"employmentType":61,"department":63,"content_html":64,"content_text":65,"years":21,"createdAt":66,"updatedAtISO":67,"postedAtISO":68,"hasSalary":25,"salaryMin":69,"salaryMax":70,"currency":26,"schema":71},"53a875bf68a9354eb4badb43dab8245babdde3c066f718a1344b84af782a9530","84bc177b02b0edcf11b0c4371cc2f6803bc9f633df6579ffca6ea47d011bce29","senior-account-executive-at-typeform-9d35e7bd7b","Senior Account Executive",[62],"Contract","Sales","\u003Ch3>Who we are\u003C/h3>\n\u003Cp>Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.\u003C/p>\u003Cp>We’re excited to hire someone \u003Cstrong>based in San Francisco\u003C/strong>, where we’re looking to grow our sales presence.\u003C/p>\n\u003Ch3>\u003Cstrong>About The Role\u003Cbr>\u003C/strong>\u003C/h3>\n\u003Cp>Our team is still early in its evolution, operating with a start-up mindset within a scaling company. We're building stronger processes, a clearer operating model, and the foundation for our next stage of growth. We’re looking for someone who wants to help \u003Cem>create\u003C/em> that future—not just operate within it.\u003Cbr>\u003Cbr>As a Senior Account Executive reporting directly to the Head of Sales, you’ll be a key driver of our outbound engine. You’re a strategic seller who owns the full cycle, thrives on proactive outreach, and isn’t phased by cold calls or pipeline creation. You combine discipline with initiative, independence with collaboration, and urgency with long-term relationship-building.\u003Cbr>\u003Cbr>Your territory spans Mid-Market and Enterprise customers, blending short-cycle and long-cycle opportunities. But make no mistake: \u003Cstrong>outbound is the heartbeat of this role.\u003Cbr>\u003Cbr>\u003C/strong>\u003Cstrong>Things you will do:\u003Cbr>\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>\u003Cstrong>Outreach + engagement\u003C/strong>: contact leads via email, cold calls, conferences, and more. Manage inbound and referral leads.\u003C/li>\n\u003Cli>\u003Cstrong>Lead gen + prospecting:\u003C/strong> research potential customers, generate leads, and build a consistent outbound sales pipeline. Attend industry events and develop connections to drive future sales growth.\u003C/li>\n\u003Cli>\u003Cstrong>Qualification + closing\u003C/strong>: run discovery calls, demos, and follow-ups to qualify and close new customers. Build proposals and RoI cases that convince qualified prospects to buy Listen. Negotiate contract terms when needed.\u003C/li>\n\u003Cli>\u003Cstrong>Process improvement:\u003C/strong> improve our internal sales processes (slides, call scripts, meeting templates, contract terms, CRM workflows, metrics, dashboards, etc.). Run weekly “Sales Review” meetings company-wide to review deals and answer questions.\u003C/li>\n\u003Cli>\u003Cstrong>Cross-team work\u003C/strong>: work with Customer Success, Engineering, and Product to consistently delight customers. Work with our co-founding team on all things sales and revenue-related.\u003C/li>\n\u003C/ul>\n\n\u003Cp>\u003Cstrong>What you already bring to the table:\u003Cbr>\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>5–8+ years of quota-carrying closing experience in B2B SaaS\u003C/li>\n\u003Cli>Experience selling into \u003Cstrong>enterprise or upper mid-market accounts\u003C/strong>\u003C/li>\n\u003Cli>Proven ability to run \u003Cstrong>consultative, multi-stakeholder sales cycles\u003C/strong>\u003C/li>\n\u003Cli>Track record of closing \u003Cstrong>meaningful deals ($50K–$250K+)\u003C/strong> and expanding accounts\u003C/li>\n\u003Cli>Strong discovery and storytelling skills\u003C/li>\n\u003Cli>Comfortable balancing inbound + outbound pipeline generation\u003C/li>\n\u003Cli>Highly organized and proactive in managing deals end-to-end\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cem>No one likes a guessing game — that’s why we're transparent about the salary range for this role. In addition to the base, we offer a 5-10% bonus depending on your level and performance. The range is broad because we tailor total compensation based on your location, experience, education, and skillset.\u003Cbr>We also want to ensure equitable pay across the team and alignment with market data — but let us handle those details. We’re committed to clarity and honesty, so feel free to ask us anything along the way.\u003C/em>\u003C/p>\n\n\n\n\n\n\n\n\n\n\n\n\u003Cp>Pay range\u003C/p>\u003Cp>$180,000—$240,000 USD\u003C/p>\u003Cp>*Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We \u003Cstrong>move as one team\u003C/strong>, empowering our collective efforts by valuing each individual’s unique perspective. This fosters \u003Cstrong>strong bonds\u003C/strong> grounded in respect, transparency, and trust. We \u003Cstrong>champion our diverse customer base\u003C/strong> by anticipating their needs and addressing their challenges with priority. Committed to excellence, we\u003Cstrong> hold high expectations \u003C/strong>for ourselves and each other, continuously striving to deliver exceptional results.\u003C/p>\n\u003Cp>We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.\u003C/p>","Who we are Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot. We’re excited to hire someone based in San Francisco , where we’re looking to grow our sales presence. About The Role Our team is still early in its evolution, operating with a start-up mindset within a scaling company. We're building stronger processes, a clearer operating model, and the foundation for our next stage of growth. We’re looking for someone who wants to help create that future—not just operate within it. As a Senior Account Executive reporting directly to the Head of Sales, you’ll be a key driver of our outbound engine. You’re a strategic seller who owns the full cycle, thrives on proactive outreach, and isn’t phased by cold calls or pipeline creation. You combine discipline with initiative, independence with collaboration, and urgency with long-term relationship-building. Your territory spans Mid-Market and Enterprise customers, blending short-cycle and long-cycle opportunities. But make no mistake: outbound is the heartbeat of this role. Things you will do: Outreach + engagement : contact leads via email, cold calls, conferences, and more. Manage inbound and referral leads. Lead gen + prospecting: research potential customers, generate leads, and build a consistent outbound sales pipeline. Attend industry events and develop connections to drive future sales growth. Qualification + closing : run discovery calls, demos, and follow-ups to qualify and close new customers. Build proposals and RoI cases that convince qualified prospects to buy Listen. Negotiate contract terms when needed. Process improvement: improve our internal sales processes (slides, call scripts, meeting templates, contract terms, CRM workflows, metrics, dashboards, etc.). Run weekly “Sales Review” meetings company-wide to review deals and answer questions. Cross-team work : work with Customer Success, Engineering, and Product to consistently delight customers. Work with our co-founding team on all things sales and revenue-related. What you already bring to the table: 5–8+ years of quota-carrying closing experience in B2B SaaS Experience selling into enterprise or upper mid-market accounts Proven ability to run consultative, multi-stakeholder sales cycles Track record of closing meaningful deals ($50K–$250K+) and expanding accounts Strong discovery and storytelling skills Comfortable balancing inbound + outbound pipeline generation Highly organized and proactive in managing deals end-to-end No one likes a guessing game — that’s why we're transparent about the salary range for this role. In addition to the base, we offer a 5-10% bonus depending on your level and performance. The range is broad because we tailor total compensation based on your location, experience, education, and skillset. We also want to ensure equitable pay across the team and alignment with market data — but let us handle those details. We’re committed to clarity and honesty, so feel free to ask us anything along the way. Pay range $180,000—$240,000 USD *Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team , empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results. We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.",1789611025000,"2026-09-18 01:40:58","2026-09-17T10:15:34-04:00",180000,240000,{"jsonldValid":25,"jsonld":28},{"id":73,"applyToken":74,"slug":75,"title":60,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":13,"country":14,"remote":15,"employmentType":76,"department":63,"content_html":77,"content_text":78,"years":21,"createdAt":66,"updatedAtISO":67,"postedAtISO":79,"hasSalary":25,"salaryMin":69,"salaryMax":70,"currency":26,"schema":80},"697440d5eebb72e9d84927a86140839bbe904e7213884039a0db59b9e120f370","4e181345dc968209d748f43ce9cd778e5ea1b9ba56fa0bd0fc00004598d33148","senior-account-executive-at-typeform-b03df409cb",[62],"\u003Ch3>Who we are\u003C/h3>\n\u003Cp>Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.\u003C/p>\u003Cp>We’re excited to hire someone \u003Cstrong>based in New York\u003C/strong>, where we’re looking to grow our sales presence.\u003C/p>\n\u003Ch3>\u003Cstrong>About The Role\u003Cbr>\u003C/strong>\u003C/h3>\n\u003Cp>Our team is still early in its evolution, operating with a start-up mindset within a scaling company. We're building stronger processes, a clearer operating model, and the foundation for our next stage of growth. We’re looking for someone who wants to help \u003Cem>create\u003C/em> that future—not just operate within it.\u003Cbr>\u003Cbr>As a Senior Account Executive reporting directly to the Head of Sales, you’ll be a key driver of our outbound engine. You’re a strategic seller who owns the full cycle, thrives on proactive outreach, and isn’t phased by cold calls or pipeline creation. You combine discipline with initiative, independence with collaboration, and urgency with long-term relationship-building.\u003Cbr>\u003Cbr>Your territory spans Mid-Market and Enterprise customers, blending short-cycle and long-cycle opportunities. But make no mistake: \u003Cstrong>outbound is the heartbeat of this role.\u003Cbr>\u003Cbr>\u003C/strong>\u003C/p>\n\u003Cp>\u003Cstrong>Things you will do:\u003Cbr>\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>\u003Cstrong>Outreach + engagement\u003C/strong>: contact leads via email, cold calls, conferences, and more. Manage inbound and referral leads.\u003C/li>\n\u003Cli>\u003Cstrong>Lead gen + prospecting:\u003C/strong> research potential customers, generate leads, and build a consistent outbound sales pipeline. Attend industry events and develop connections to drive future sales growth.\u003C/li>\n\u003Cli>\u003Cstrong>Qualification + closing\u003C/strong>: run discovery calls, demos, and follow-ups to qualify and close new customers. Build proposals and RoI cases that convince qualified prospects to buy Listen. Negotiate contract terms when needed.\u003C/li>\n\u003Cli>\u003Cstrong>Process improvement:\u003C/strong> improve our internal sales processes (slides, call scripts, meeting templates, contract terms, CRM workflows, metrics, dashboards, etc.). Run weekly “Sales Review” meetings company-wide to review deals and answer questions.\u003C/li>\n\u003Cli>\u003Cstrong>Cross-team work\u003C/strong>: work with Customer Success, Engineering, and Product to consistently delight customers. Work with our co-founding team on all things sales and revenue-related.\u003C/li>\n\u003C/ul>\n\n\u003Cp>\u003Cstrong>What you already bring to the table:\u003Cbr>\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>5–8+ years of quota-carrying closing experience in B2B SaaS\u003C/li>\n\u003Cli>Experience selling into \u003Cstrong>enterprise or upper mid-market accounts\u003C/strong>\u003C/li>\n\u003Cli>Proven ability to run \u003Cstrong>consultative, multi-stakeholder sales cycles\u003C/strong>\u003C/li>\n\u003Cli>Track record of closing \u003Cstrong>meaningful deals ($50K–$250K+)\u003C/strong> and expanding accounts\u003C/li>\n\u003Cli>Strong discovery and storytelling skills\u003C/li>\n\u003Cli>Comfortable balancing inbound + outbound pipeline generation\u003C/li>\n\u003Cli>Highly organized and proactive in managing deals end-to-end\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cem>No one likes a guessing game — that’s why we're transparent about the salary range for this role. In addition to the base, we offer a 5-10% bonus depending on your level and performance. The range is broad because we tailor total compensation based on your location, experience, education, and skillset.\u003Cbr>We also want to ensure equitable pay across the team and alignment with market data — but let us handle those details. We’re committed to clarity and honesty, so feel free to ask us anything along the way.\u003C/em>\u003C/p>\n\n\n\n\n\n\n\n\n\n\n\n\u003Cp>Pay range\u003C/p>\u003Cp>$180,000—$240,000 USD\u003C/p>\u003Cp>*Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We \u003Cstrong>move as one team\u003C/strong>, empowering our collective efforts by valuing each individual’s unique perspective. This fosters \u003Cstrong>strong bonds\u003C/strong> grounded in respect, transparency, and trust. We \u003Cstrong>champion our diverse customer base\u003C/strong> by anticipating their needs and addressing their challenges with priority. Committed to excellence, we\u003Cstrong> hold high expectations \u003C/strong>for ourselves and each other, continuously striving to deliver exceptional results.\u003C/p>\n\u003Cp>We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.\u003C/p>","Who we are Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot. We’re excited to hire someone based in New York , where we’re looking to grow our sales presence. About The Role Our team is still early in its evolution, operating with a start-up mindset within a scaling company. We're building stronger processes, a clearer operating model, and the foundation for our next stage of growth. We’re looking for someone who wants to help create that future—not just operate within it. As a Senior Account Executive reporting directly to the Head of Sales, you’ll be a key driver of our outbound engine. You’re a strategic seller who owns the full cycle, thrives on proactive outreach, and isn’t phased by cold calls or pipeline creation. You combine discipline with initiative, independence with collaboration, and urgency with long-term relationship-building. Your territory spans Mid-Market and Enterprise customers, blending short-cycle and long-cycle opportunities. But make no mistake: outbound is the heartbeat of this role. Things you will do: Outreach + engagement : contact leads via email, cold calls, conferences, and more. Manage inbound and referral leads. Lead gen + prospecting: research potential customers, generate leads, and build a consistent outbound sales pipeline. Attend industry events and develop connections to drive future sales growth. Qualification + closing : run discovery calls, demos, and follow-ups to qualify and close new customers. Build proposals and RoI cases that convince qualified prospects to buy Listen. Negotiate contract terms when needed. Process improvement: improve our internal sales processes (slides, call scripts, meeting templates, contract terms, CRM workflows, metrics, dashboards, etc.). Run weekly “Sales Review” meetings company-wide to review deals and answer questions. Cross-team work : work with Customer Success, Engineering, and Product to consistently delight customers. Work with our co-founding team on all things sales and revenue-related. What you already bring to the table: 5–8+ years of quota-carrying closing experience in B2B SaaS Experience selling into enterprise or upper mid-market accounts Proven ability to run consultative, multi-stakeholder sales cycles Track record of closing meaningful deals ($50K–$250K+) and expanding accounts Strong discovery and storytelling skills Comfortable balancing inbound + outbound pipeline generation Highly organized and proactive in managing deals end-to-end No one likes a guessing game — that’s why we're transparent about the salary range for this role. In addition to the base, we offer a 5-10% bonus depending on your level and performance. The range is broad because we tailor total compensation based on your location, experience, education, and skillset. We also want to ensure equitable pay across the team and alignment with market data — but let us handle those details. We’re committed to clarity and honesty, so feel free to ask us anything along the way. Pay range $180,000—$240,000 USD *Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team , empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results. We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.","2026-09-17T10:15:59-04:00",{"jsonldValid":25,"jsonld":28},{"id":82,"applyToken":83,"slug":84,"title":60,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":36,"country":37,"remote":15,"employmentType":85,"department":63,"content_html":86,"content_text":87,"years":21,"createdAt":66,"updatedAtISO":88,"postedAtISO":89,"hasSalary":25,"salaryMin":21,"salaryMax":21,"currency":42,"schema":90},"df0d23ea479ea6a9a917e700c5924075a080a6d36427b10083948a9d31410dd1","05201429808b5230c8345df85c1416353e74336a6de7125e1f73c2a9a5f1bcb9","senior-account-executive-at-typeform-d27b7d11df",[62],"\u003Ch3>Who we are\u003C/h3>\n\u003Cp>Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.\u003C/p>\u003Cp>We’re excited to hire someone \u003Cstrong>based in London\u003C/strong>, where we’re looking to grow our sales presence.\u003C/p>\n\u003Ch3>\u003Cstrong>About The Role\u003Cbr>\u003C/strong>\u003C/h3>\n\u003Cp>Our team is still early in its evolution, operating with a start-up mindset within a scaling company. We're building stronger processes, a clearer operating model, and the foundation for our next stage of growth. We’re looking for someone who wants to help \u003Cem>create\u003C/em> that future—not just operate within it.\u003Cbr>\u003Cbr>As a Senior Account Executive reporting directly to the Head of Sales, you’ll be a key driver of our outbound engine. You’re a strategic seller who owns the full cycle, thrives on proactive outreach, and isn’t phased by cold calls or pipeline creation. You combine discipline with initiative, independence with collaboration, and urgency with long-term relationship-building.\u003Cbr>\u003Cbr>Your territory spans Mid-Market and Enterprise customers, blending short-cycle and long-cycle opportunities. But make no mistake: \u003Cstrong>outbound is the heartbeat of this role.\u003Cbr>\u003C/strong>\u003C/p>\n\u003Cp>\u003Cstrong>\u003Cbr>Things you will do:\u003Cbr>\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>\u003Cstrong>Outreach + engagement\u003C/strong>: contact leads via email, cold calls, conferences, and more. Manage inbound and referral leads.\u003C/li>\n\u003Cli>\u003Cstrong>Lead gen + prospecting:\u003C/strong> research potential customers, generate leads, and build a consistent outbound sales pipeline. Attend industry events and develop connections to drive future sales growth.\u003C/li>\n\u003Cli>\u003Cstrong>Qualification + closing\u003C/strong>: run discovery calls, demos, and follow-ups to qualify and close new customers. Build proposals and RoI cases that convince qualified prospects to buy Listen. Negotiate contract terms when needed.\u003C/li>\n\u003Cli>\u003Cstrong>Process improvement:\u003C/strong> improve our internal sales processes (slides, call scripts, meeting templates, contract terms, CRM workflows, metrics, dashboards, etc.). Run weekly “Sales Review” meetings company-wide to review deals and answer questions.\u003C/li>\n\u003Cli>\u003Cstrong>Cross-team work\u003C/strong>: work with Customer Success, Engineering, and Product to consistently delight customers. Work with our co-founding team on all things sales and revenue-related.\u003C/li>\n\u003C/ul>\n\n\u003Cp>\u003Cstrong>What you already bring to the table:\u003Cbr>\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>5–8+ years of quota-carrying closing experience in B2B SaaS\u003C/li>\n\u003Cli>Experience selling into \u003Cstrong>enterprise or upper mid-market accounts\u003C/strong>\u003C/li>\n\u003Cli>Proven ability to run \u003Cstrong>consultative, multi-stakeholder sales cycles\u003C/strong>\u003C/li>\n\u003Cli>Track record of closing \u003Cstrong>meaningful deals ($50K–$250K+)\u003C/strong> and expanding accounts\u003C/li>\n\u003Cli>Strong discovery and storytelling skills\u003C/li>\n\u003Cli>Comfortable balancing inbound + outbound pipeline generation\u003C/li>\n\u003Cli>Highly organized and proactive in managing deals end-to-end\u003C/li>\n\u003C/ul>\n\u003Cp>\u003Cstrong> \u003C/strong>\u003C/p>\u003Cp>*Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We \u003Cstrong>move as one team\u003C/strong>, empowering our collective efforts by valuing each individual’s unique perspective. This fosters \u003Cstrong>strong bonds\u003C/strong> grounded in respect, transparency, and trust. We \u003Cstrong>champion our diverse customer base\u003C/strong> by anticipating their needs and addressing their challenges with priority. Committed to excellence, we\u003Cstrong> hold high expectations \u003C/strong>for ourselves and each other, continuously striving to deliver exceptional results.\u003C/p>\n\u003Cp>We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.\u003C/p>","Who we are Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot. We’re excited to hire someone based in London , where we’re looking to grow our sales presence. About The Role Our team is still early in its evolution, operating with a start-up mindset within a scaling company. We're building stronger processes, a clearer operating model, and the foundation for our next stage of growth. We’re looking for someone who wants to help create that future—not just operate within it. As a Senior Account Executive reporting directly to the Head of Sales, you’ll be a key driver of our outbound engine. You’re a strategic seller who owns the full cycle, thrives on proactive outreach, and isn’t phased by cold calls or pipeline creation. You combine discipline with initiative, independence with collaboration, and urgency with long-term relationship-building. Your territory spans Mid-Market and Enterprise customers, blending short-cycle and long-cycle opportunities. But make no mistake: outbound is the heartbeat of this role. Things you will do: Outreach + engagement : contact leads via email, cold calls, conferences, and more. Manage inbound and referral leads. Lead gen + prospecting: research potential customers, generate leads, and build a consistent outbound sales pipeline. Attend industry events and develop connections to drive future sales growth. Qualification + closing : run discovery calls, demos, and follow-ups to qualify and close new customers. Build proposals and RoI cases that convince qualified prospects to buy Listen. Negotiate contract terms when needed. Process improvement: improve our internal sales processes (slides, call scripts, meeting templates, contract terms, CRM workflows, metrics, dashboards, etc.). Run weekly “Sales Review” meetings company-wide to review deals and answer questions. Cross-team work : work with Customer Success, Engineering, and Product to consistently delight customers. Work with our co-founding team on all things sales and revenue-related. What you already bring to the table: 5–8+ years of quota-carrying closing experience in B2B SaaS Experience selling into enterprise or upper mid-market accounts Proven ability to run consultative, multi-stakeholder sales cycles Track record of closing meaningful deals ($50K–$250K+) and expanding accounts Strong discovery and storytelling skills Comfortable balancing inbound + outbound pipeline generation Highly organized and proactive in managing deals end-to-end *Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team , empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results. We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.","2026-09-18 01:40:57","2026-09-17T10:16:19-04:00",{"jsonldValid":25,"jsonld":28},{"id":92,"applyToken":93,"slug":94,"title":95,"companyname":9,"companylogo":10,"companyTagline":11,"companyIndustry":12,"city":96,"country":97,"remote":15,"employmentType":98,"department":99,"content_html":100,"content_text":101,"years":21,"createdAt":102,"updatedAtISO":103,"postedAtISO":104,"hasSalary":25,"salaryMin":21,"salaryMax":21,"currency":105,"schema":106},"51878a2b23888d1eb20c895ff468e07242a27092b5fcf8115ea1a538c6badaba","1a0476d46f74036c083f8a59abbae6e0afb4097b6f9aeff3018b99a00a1f9c7b","freelance-principal-recruiter-at-typeform-96a978665f","Freelance Principal Recruiter","Germany (Remote) ; Ireland (Remote); Netherlands (Remote) ; Portugal (Remote) ; Spain (Remote) ; United Kingdom (Remote)","Germany",[17],"HR","\u003Ch3>Who we are\u003C/h3>\n\u003Cp>Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.\u003C/p>\u003Ch3>\u003Cstrong>About the Role\u003C/strong>\u003C/h3>\n\u003Cp>We’re looking for a \u003Cstrong>Freelance Principal Recruiter\u003C/strong> to join Typeform on an initial, \u003Cstrong>full-time engagement\u003C/strong>. In this role, you’ll operate as a \u003Cstrong>full-cycle Talent Acquisition Partner\u003C/strong>, owning hiring end-to-end across a mix of \u003Cstrong>technical and business roles\u003C/strong>. You’ll work in a small, high-ownership TA team, where the focus is not just on delivery—but on \u003Cstrong>consistently raising the bar on talent and hiring quality\u003C/strong>.\u003C/p>\n\u003Ch3>\u003Cstrong>\u003Cbr>Things you will do:\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Own and drive \u003Cstrong>8–12 active roles simultaneously\u003C/strong> across both technical, commercial and business functions\u003C/li>\n\u003Cli>Build and maintain \u003Cstrong>high-quality candidate pipelines\u003C/strong>, with a strong focus on sourcing passive talent\u003C/li>\n\u003Cli>Partner closely with hiring managers to \u003Cstrong>define role scope, success criteria, and hiring strategy\u003C/strong>\u003C/li>\n\u003Cli>Run structured hiring processes from intake through to offer, ensuring \u003Cstrong>clarity and alignment at every stage\u003C/strong>\u003C/li>\n\u003Cli>Drive \u003Cstrong>proactive communication\u003C/strong> with stakeholders, anticipating needs and keeping momentum high\u003C/li>\n\u003Cli>Deliver a strong candidate experience while maintaining a \u003Cstrong>high and consistent hiring bar\u003C/strong>\u003C/li>\n\u003Cli>Close candidates by building trust, alignment, and long-term fit\u003C/li>\n\u003C/ul>\n\u003Ch3>\u003Cstrong>What you already bring to the table:\u003C/strong>\u003C/h3>\n\u003Cul>\n\u003Cli>Proven experience as a \u003Cstrong>full-cycle recruiter in a global SaaS or technology company\u003C/strong>\u003C/li>\n\u003Cli>Comfortable hiring across both \u003Cstrong>technical and business roles\u003C/strong>\u003C/li>\n\u003Cli>Strong sourcing capability—you know how to \u003Cstrong>identify, engage, and convert passive candidates\u003C/strong>\u003C/li>\n\u003Cli>Confidence in assessing talent and contributing to \u003Cstrong>high-quality hiring decisions\u003C/strong>\u003C/li>\n\u003Cli>Strong stakeholder management—you bring \u003Cstrong>structure, clarity, and momentum\u003C/strong>\u003C/li>\n\u003Cli>High ownership and autonomy—you’re comfortable operating at speed with \u003Cstrong>limited direction\u003C/strong>\u003C/li>\n\u003Cli>Ability to thrive in \u003Cstrong>fast-moving and sometimes ambiguous environments\u003Cbr>\u003C/strong>\u003C/li>\n\u003C/ul>\n\n\u003Cp>*Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We \u003Cstrong>move as one team\u003C/strong>, empowering our collective efforts by valuing each individual’s unique perspective. This fosters \u003Cstrong>strong bonds\u003C/strong> grounded in respect, transparency, and trust. We \u003Cstrong>champion our diverse customer base\u003C/strong> by anticipating their needs and addressing their challenges with priority. Committed to excellence, we\u003Cstrong> hold high expectations \u003C/strong>for ourselves and each other, continuously striving to deliver exceptional results.\u003C/p>\n\u003Cp>We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.\u003C/p>","Who we are Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot. About the Role We’re looking for a Freelance Principal Recruiter to join Typeform on an initial, full-time engagement . In this role, you’ll operate as a full-cycle Talent Acquisition Partner , owning hiring end-to-end across a mix of technical and business roles . You’ll work in a small, high-ownership TA team, where the focus is not just on delivery—but on consistently raising the bar on talent and hiring quality . Things you will do: Own and drive 8–12 active roles simultaneously across both technical, commercial and business functions Build and maintain high-quality candidate pipelines , with a strong focus on sourcing passive talent Partner closely with hiring managers to define role scope, success criteria, and hiring strategy Run structured hiring processes from intake through to offer, ensuring clarity and alignment at every stage Drive proactive communication with stakeholders, anticipating needs and keeping momentum high Deliver a strong candidate experience while maintaining a high and consistent hiring bar Close candidates by building trust, alignment, and long-term fit What you already bring to the table: Proven experience as a full-cycle recruiter in a global SaaS or technology company Comfortable hiring across both technical and business roles Strong sourcing capability—you know how to identify, engage, and convert passive candidates Confidence in assessing talent and contributing to high-quality hiring decisions Strong stakeholder management—you bring structure, clarity, and momentum High ownership and autonomy—you’re comfortable operating at speed with limited direction Ability to thrive in fast-moving and sometimes ambiguous environments *Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team , empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results. We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.",1789053886000,"2026-09-10 17:31:18","2026-09-10T02:53:40-04:00","EUR",{"jsonldValid":25,"jsonld":28},1790066545521]