Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
As a Software Engineer Back End you will help design, build, and optimize Distillery—our AI-native platform that powers real-world enterprise AI systems for diverse F500 workflows.
Your role will involve developing scalable AI infrastructure, ensuring system reliability, and collaborating with engineers and business leaders to solve some of the most complex AI deployment challenges.
Build & Scale AI-Native Infrastructure: Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows. Define how AI automation integrates into traditional enterprise infrastructure.
Develop Cloud-Native Microservices & Scalable AI Systems: Design and build secure, high-performance backend services deployed across AWS/GCP/Azure or on-prem Kubernetes environments. Build using Python, FastAPI, SQLAlchemy, Alembic, and modern DevOps tools to develop scalable, reliable AI infrastructure.
Optimize System Performance & Reliability: Ensure high-availability, security, and observability of AI-native workflows. Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration.
Collaborate with Cross-Functional Teams: Partner with Forward-Deployed Engineers (FDEs), AI Researchers, and business SMEs to translate real-world operational needs into platform capabilities. Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures.
We are hiring multiple roles across different levels of seniority (3-10+ years of software engineering experience)
Proficiency in Backend & Systems Engineering. Expertise in Python, Java, Golang, or C++ for building scalable, high-performance systems
Hands-on experience with Kubernetes, CI/CD, cloud platforms (AWS, GCP, or Azure), and infrastructure as code
Strong interest in AI-native development, leveraging tools like ChatGPT, Claude, Perplexity, and Cursor in engineering workflows
Experience with security, distributed systems, storage, ML/AI Ops, and large-scale observability is a plus
Travel: Ability to travel 10-20%
The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
We’re grateful for the strong interest in this role. The best way to get your profile in front of our team is to apply directly through our careers page, where all applications are reviewed. Due to the high volume of interest, we’re not able to review or respond to all direct emails or LinkedIn messages. We will be in touch with every applicant once we’ve completed our review, regardless of the decision.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAs a Software Engineer Back End you will help design, build, and optimize Distillery—our AI-native platform that powers real-world enterprise AI systems for diverse F500 workflows.\n\n\n\nYour role will involve developing scalable AI infrastructure, ensuring system reliability, and collaborating with engineers and business leaders to solve some of the most complex AI deployment challenges.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Build & Scale AI-Native Infrastructure: Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows. Define how AI automation integrates into traditional enterprise infrastructure.\n\n - Develop Cloud-Native Microservices & Scalable AI Systems: Design and build secure, high-performance backend services deployed across AWS/GCP/Azure or on-prem Kubernetes environments. Build using Python, FastAPI, SQLAlchemy, Alembic, and modern DevOps tools to develop scalable, reliable AI infrastructure.\n\n - Optimize System Performance & Reliability: Ensure high-availability, security, and observability of AI-native workflows. Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration.\n\n - Collaborate with Cross-Functional Teams: Partner with Forward-Deployed Engineers (FDEs), AI Researchers, and business SMEs to translate real-world operational needs into platform capabilities. Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures.\n\n\n\n\nWHO YOU ARE\n\n - We are hiring multiple roles across different levels of seniority (3-10+ years of software engineering experience)\n\n - Proficiency in Backend & Systems Engineering. Expertise in Python, Java, Golang, or C++ for building scalable, high-performance systems\n\n - Hands-on experience with Kubernetes, CI/CD, cloud platforms (AWS, GCP, or Azure), and infrastructure as code\n\n - Strong interest in AI-native development, leveraging tools like ChatGPT, Claude, Perplexity, and Cursor in engineering workflows\n\n - Experience with security, distributed systems, storage, ML/AI Ops, and large-scale observability is a plus\n\n - Travel: Ability to travel 10-20%\n\n\n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n\n\nWe’re grateful for the strong interest in this role. The best way to get your profile in front of our team is to apply directly through our careers page, where all applications are reviewed. Due to the high volume of interest, we’re not able to review or respond to all direct emails or LinkedIn messages. We will be in touch with every applicant once we’ve completed our review, regardless of the decision.\n\n\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"6fa13a3b-dd2e-409a-881b-6c8beb85055a","title":"AI Engineer (French Speaking) ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York","secondaryLocations":[],"publishedAt":"2026-10-29T16:50:56.489+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/6fa13a3b-dd2e-409a-881b-6c8beb85055a","applyUrl":"https://jobs.ashbyhq.com/Distyl/6fa13a3b-dd2e-409a-881b-6c8beb85055a/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
AI Engineers build and operate production AI systems that deliver business value inside customer environments. This role is for engineers who thrive in ambiguous problem spaces, take ownership of outcomes, and want to work directly on AI systems that must perform reliably under enterprise constraints.
AI Engineers are hands-on builders. They design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other Distyl engineers. They translate messy operational needs into concrete system behavior, build the software and AI workflows required to support that behavior, and continuously improve systems through evaluation, feedback, integration, and production iteration.
This is not a demo-building role. AI Engineers are expected to make AI systems work in practice: with users, data, constraints, and accountability for production outcomes.
Build and operate AI systems deployed in customer environments, taking ownership of system behavior, reliability, and usefulness in production
Design and implement compound AI workflows that combine models, prompts, agents, tools, retrieval, evaluation, feedback loops, and execution into coherent production systems aligned with user and SME needs
Develop clean, maintainable Python services and application logic that integrate AI capabilities into customer workflows, data platforms, APIs, and existing applications
Operate on live systems by measuring behavior, identifying failure modes, debugging issues, and iterating rapidly to improve quality, reliability, and user value
Build evaluation frameworks, test cases, feedback mechanisms, and observability patterns that help teams understand and improve AI system performance over time
Work directly with customer stakeholders and subject matter experts to understand workflows, clarify requirements, reason about tradeoffs, and adapt systems as needs evolve
Use AI-native engineering tools to accelerate implementation, debugging, experimentation, data analysis, and system improvement
Collaborate with other AI Engineers, AI Strategists, and other Distillers to make pragmatic system design decisions that balance speed, robustness, maintainability, and customer impact
Take accountability for the production outcomes of the components, workflows, and systems you build
5+ years of software engineering experience
Fluent in French (Written and Spoken) with the ability to lead technical discussions and collaborate directly with French-speaking clients
Ownership mentality for AI systems. You take responsibility for whether the systems you build deliver their intended value in production. You are comfortable making technical decisions, learning from system behavior, and owning the results of your work
Experience building AI systems. You have built applications powered by LLMs or other AI models and are comfortable composing multiple components — prompts, agents, tools, retrieval, evaluators, workflows, and integrations — into end-to-end systems. You reason about system behavior holistically rather than treating models as black boxes
Strong engineering fundamentals. You write clean, maintainable Python and are comfortable building production software systems. You understand core engineering concepts like versioning, debugging, testing, performance, code review, and production readiness
AI-native working style. You use AI tools daily to write and debug code, explore designs, analyze data, and automate repetitive work. You are curious about new model capabilities and techniques, and actively incorporate them into how you build and iterate on systems
Comfort in customer environments. You are able to work directly with customer teams, ask good questions, and adapt quickly to new domains. You communicate clearly about system behavior, limitations, and tradeoffs, and can operate effectively in high-trust, high-visibility situations
Pragmatic delivery mindset. You can navigate ambiguity, make progress with incomplete information, and balance speed with robustness when building systems that need to work for production users
Willingness to travel. Travel is typically 10–30%, depending on the project, customer needs, and your role on the engagement
The base salary range for this role is $180K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in our New York office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAI Engineers build and operate production AI systems that deliver business value inside customer environments. This role is for engineers who thrive in ambiguous problem spaces, take ownership of outcomes, and want to work directly on AI systems that must perform reliably under enterprise constraints.\n\n \n\nAI Engineers are hands-on builders. They design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other Distyl engineers. They translate messy operational needs into concrete system behavior, build the software and AI workflows required to support that behavior, and continuously improve systems through evaluation, feedback, integration, and production iteration.\n\n \n\nThis is not a demo-building role. AI Engineers are expected to make AI systems work in practice: with users, data, constraints, and accountability for production outcomes.\n\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Build and operate AI systems deployed in customer environments, taking ownership of system behavior, reliability, and usefulness in production\n\n - Design and implement compound AI workflows that combine models, prompts, agents, tools, retrieval, evaluation, feedback loops, and execution into coherent production systems aligned with user and SME needs\n\n - Develop clean, maintainable Python services and application logic that integrate AI capabilities into customer workflows, data platforms, APIs, and existing applications\n\n - Operate on live systems by measuring behavior, identifying failure modes, debugging issues, and iterating rapidly to improve quality, reliability, and user value\n\n - Build evaluation frameworks, test cases, feedback mechanisms, and observability patterns that help teams understand and improve AI system performance over time\n\n - Work directly with customer stakeholders and subject matter experts to understand workflows, clarify requirements, reason about tradeoffs, and adapt systems as needs evolve\n\n - Use AI-native engineering tools to accelerate implementation, debugging, experimentation, data analysis, and system improvement\n\n - Collaborate with other AI Engineers, AI Strategists, and other Distillers to make pragmatic system design decisions that balance speed, robustness, maintainability, and customer impact\n\n - Take accountability for the production outcomes of the components, workflows, and systems you build\n\n \n\n\nWHAT WE REQUIRE\n\n - 5+ years of software engineering experience\n\n - Fluent in French (Written and Spoken) with the ability to lead technical discussions and collaborate directly with French-speaking clients\n\n - Ownership mentality for AI systems. You take responsibility for whether the systems you build deliver their intended value in production. You are comfortable making technical decisions, learning from system behavior, and owning the results of your work\n\n - Experience building AI systems. You have built applications powered by LLMs or other AI models and are comfortable composing multiple components — prompts, agents, tools, retrieval, evaluators, workflows, and integrations — into end-to-end systems. You reason about system behavior holistically rather than treating models as black boxes\n\n - Strong engineering fundamentals. You write clean, maintainable Python and are comfortable building production software systems. You understand core engineering concepts like versioning, debugging, testing, performance, code review, and production readiness\n\n - AI-native working style. You use AI tools daily to write and debug code, explore designs, analyze data, and automate repetitive work. You are curious about new model capabilities and techniques, and actively incorporate them into how you build and iterate on systems\n\n - Comfort in customer environments. You are able to work directly with customer teams, ask good questions, and adapt quickly to new domains. You communicate clearly about system behavior, limitations, and tradeoffs, and can operate effectively in high-trust, high-visibility situations\n\n - Pragmatic delivery mindset. You can navigate ambiguity, make progress with incomplete information, and balance speed with robustness when building systems that need to work for production users\n\n - Willingness to travel. Travel is typically 10–30%, depending on the project, customer needs, and your role on the engagement\n\n \n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $180K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in our New York office.\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"99c4f016-1172-4a69-9478-3833502bd701","title":"Applied AI Researcher, System Discovery","department":"Research","team":"Research","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2025-10-16T16:26:15.227+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/99c4f016-1172-4a69-9478-3833502bd701","applyUrl":"https://jobs.ashbyhq.com/Distyl/99c4f016-1172-4a69-9478-3833502bd701/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
At Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.
Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.
Analogous to hypothesis generation in the space of AI for scientific discovery, the System Discovery team focuses on identifying entirely new classes of AI systems. Researchers explore a wide range of architectures, modalities, and compositions to uncover how AI can most effectively reshape work
Draw connections across disparate domains to uncover new system archetypes. Experiment with unconventional problem definitions and develop prototypes that reveal new categories of human–AI collaboration
Experience Building a Wide Breadth of Systems: You’ve built across many paradigms—retrieval pipelines, reasoning agents, evaluation harnesses, multimodal integrations, or workflow graph systems—and can abstract what makes each effective
Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.)
Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done
Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow
Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI
Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize
The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAt Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.\n\n\n\nOur researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Analogous to hypothesis generation in the space of AI for scientific discovery, the System Discovery team focuses on identifying entirely new classes of AI systems. Researchers explore a wide range of architectures, modalities, and compositions to uncover how AI can most effectively reshape work\n\n - Draw connections across disparate domains to uncover new system archetypes. Experiment with unconventional problem definitions and develop prototypes that reveal new categories of human–AI collaboration\n \n \n\n\nWHO YOU ARE\n\n - Experience Building a Wide Breadth of Systems: You’ve built across many paradigms—retrieval pipelines, reasoning agents, evaluation harnesses, multimodal integrations, or workflow graph systems—and can abstract what makes each effective\n\n - Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.)\n\n - Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done\n\n - Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow\n\n - Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI\n\n - Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize\n \n \n\n\nWHAT WE OFFER \n\n - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"4d08070a-2a80-4eaa-b702-04d80dc2ac59","title":"Applied AI Researcher, Post-Training","department":"Research","team":"Research","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2025-10-16T16:26:01.029+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/4d08070a-2a80-4eaa-b702-04d80dc2ac59","applyUrl":"https://jobs.ashbyhq.com/Distyl/4d08070a-2a80-4eaa-b702-04d80dc2ac59/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
At Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.
Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.
The Post-Training team focuses on adapting foundation models to real-world performance and alignment requirements. Researchers develop and evaluate techniques such as supervised fine-tuning, preference optimization (DPO, RLHF, RLAIF), and continual adaptation to align models with Distyl’s enterprise systems. The goal is to bridge raw model capability with trustworthy, contextually aligned system behavior
Researchers in Post-Training investigate new methods for aligning large models with human and system-level objectives. They explore trade-offs between generalization and specialization, data efficiency and robustness, capability and controllability. Their work informs how Distyl leverages foundation models safely, effectively, and at scale across industries
Deep Understanding of Post-training Techniques: Familiarity with supervised fine-tuning, preference optimization (RLHF/DPO), LoRA/PEFT, and instruction-tuning pipelines.
Experience Adapting Frontier Models: You’ve tuned or adapted LLMs/SLMs to specialized domains or behaviors through data curation, reward modeling, or continual pretraining.
Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).
Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.
Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.
Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.
Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.
The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAt Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.\n\nOur researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - The Post-Training team focuses on adapting foundation models to real-world performance and alignment requirements. Researchers develop and evaluate techniques such as supervised fine-tuning, preference optimization (DPO, RLHF, RLAIF), and continual adaptation to align models with Distyl’s enterprise systems. The goal is to bridge raw model capability with trustworthy, contextually aligned system behavior\n\n - Researchers in Post-Training investigate new methods for aligning large models with human and system-level objectives. They explore trade-offs between generalization and specialization, data efficiency and robustness, capability and controllability. Their work informs how Distyl leverages foundation models safely, effectively, and at scale across industries\n \n \n\n\nWHAT WE REQUIRE\n\n - Deep Understanding of Post-training Techniques: Familiarity with supervised fine-tuning, preference optimization (RLHF/DPO), LoRA/PEFT, and instruction-tuning pipelines.\n\n - Experience Adapting Frontier Models: You’ve tuned or adapted LLMs/SLMs to specialized domains or behaviors through data curation, reward modeling, or continual pretraining.\n\n - Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).\n\n - Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.\n\n - Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.\n\n - Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.\n\n - Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.\n \n \n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"e68914e7-4b5c-433b-8204-e724938c8426","title":"AI Engineer, UK ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"London, UK","secondaryLocations":[],"publishedAt":"2026-10-29T16:50:38.616+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"UK"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/e68914e7-4b5c-433b-8204-e724938c8426","applyUrl":"https://jobs.ashbyhq.com/Distyl/e68914e7-4b5c-433b-8204-e724938c8426/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
We’re opening an office in London, UK and looking for AI Engineers to design and deploy production-grade AI systems powered by LLMs.
At Distyl, AI Engineers work directly with Fortune 500 companies to transform complex workflows using cutting-edge AI. You’ll build and ship real-world AI applications — from intelligent agents to full-stack AI products — and see them operate at scale in mission-critical environments.
This role is highly hands-on. You’ll collaborate closely with customers, define system architectures, and build reliable, high-impact AI systems from prototype to production. Engineers at Distyl also help shape technical direction across major customer engagements, guiding enterprise teams through AI adoption and deployment.
Build Production AI Systems: Design, develop, and deploy robust AI applications using LLMs, including prompt engineering, agent workflows, tool use, and full-stack AI products
Work Directly with Customers: Partner closely with enterprise stakeholders to understand complex problems and translate them into impactful AI solutions
Lead System Architecture: Design scalable architectures for production AI systems, balancing performance, reliability, cost, and maintainability
Develop Our Internal Platform: Contribute to Distillery, our internal LLM application platform, by building reusable infrastructure, tools, and workflows used across customer deployments
Evaluate AI Systems Rigorously: Develop evaluation frameworks that measure model performance across accuracy, latency, cost, reliability, and safety
Ship Production-Grade Systems: Ensure systems meet high standards for observability, reliability, security, and maintainability
Raise the Engineering Bar: Improve development workflows, evaluation practices, and deployment strategies as our AI platform continues to evolve
8+ years of professional software engineering experience
Strong proficiency in Python or TypeScript
Experience building and deploying LLM-powered applications or AI agents in production
Experience with modern LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP, or agent frameworks
Experience implementing RAG pipelines, tool use, or multi-step AI workflows
Strong understanding of AI system evaluation, debugging, and observability
Experience building reliable production systems with modern DevOps practices
Experience deploying AI systems in enterprise environments is a plus
Experience working across cloud platforms (AWS, GCP, or Azure) is a plus
Experience with agent architectures and long-horizon task execution is a plus
Familiarity with responsible AI practices, including auditability and governance is a plus
Competitive salary, meaningful equity, and a comprehensive benefits package
Workplace Pension Scheme with employer contributions
Private Medical Insurance (PMI) offered
Flexible Time Off + Holidays
Lunch provided on office days
Access to state-of-the-art models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that prizes curiosity, pragmatism, and excellence
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE’RE LOOKING FOR\n\nWe’re opening an office in London, UK and looking for AI Engineers to design and deploy production-grade AI systems powered by LLMs.\n\n \n\nAt Distyl, AI Engineers work directly with Fortune 500 companies to transform complex workflows using cutting-edge AI. You’ll build and ship real-world AI applications — from intelligent agents to full-stack AI products — and see them operate at scale in mission-critical environments.\n\n \n\nThis role is highly hands-on. You’ll collaborate closely with customers, define system architectures, and build reliable, high-impact AI systems from prototype to production. Engineers at Distyl also help shape technical direction across major customer engagements, guiding enterprise teams through AI adoption and deployment.\n\n \n\n\nKEY RESPONSIBILITIES\n\n - Build Production AI Systems: Design, develop, and deploy robust AI applications using LLMs, including prompt engineering, agent workflows, tool use, and full-stack AI products\n\n - Work Directly with Customers: Partner closely with enterprise stakeholders to understand complex problems and translate them into impactful AI solutions\n\n - Lead System Architecture: Design scalable architectures for production AI systems, balancing performance, reliability, cost, and maintainability\n\n - Develop Our Internal Platform: Contribute to Distillery, our internal LLM application platform, by building reusable infrastructure, tools, and workflows used across customer deployments\n\n - Evaluate AI Systems Rigorously: Develop evaluation frameworks that measure model performance across accuracy, latency, cost, reliability, and safety\n\n - Ship Production-Grade Systems: Ensure systems meet high standards for observability, reliability, security, and maintainability\n\n - Raise the Engineering Bar: Improve development workflows, evaluation practices, and deployment strategies as our AI platform continues to evolve\n \n \n\n\nWHO YOU ARE\n\n - 8+ years of professional software engineering experience\n\n - Strong proficiency in Python or TypeScript\n\n - Experience building and deploying LLM-powered applications or AI agents in production\n\n - Experience with modern LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP, or agent frameworks\n\n - Experience implementing RAG pipelines, tool use, or multi-step AI workflows\n\n - Strong understanding of AI system evaluation, debugging, and observability\n\n - Experience building reliable production systems with modern DevOps practices\n\n - Experience deploying AI systems in enterprise environments is a plus\n\n - Experience working across cloud platforms (AWS, GCP, or Azure) is a plus\n\n - Experience with agent architectures and long-horizon task execution is a plus\n\n - Familiarity with responsible AI practices, including auditability and governance is a plus\n \n \n\n\nWHAT WE OFFER\n\n - Competitive salary, meaningful equity, and a comprehensive benefits package\n\n - Workplace Pension Scheme with employer contributions\n\n - Private Medical Insurance (PMI) offered\n\n - Flexible Time Off + Holidays\n\n - Lunch provided on office days\n\n - Access to state-of-the-art models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that prizes curiosity, pragmatism, and excellence\n \n \n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"18ce7c79-a1d5-4c87-8ae0-dc71d5623ddd","title":"AI Strategist ","department":"Solutions","team":"Solutions","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2026-01-21T22:34:03.155+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/18ce7c79-a1d5-4c87-8ae0-dc71d5623ddd","applyUrl":"https://jobs.ashbyhq.com/Distyl/18ce7c79-a1d5-4c87-8ae0-dc71d5623ddd/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
As an AI Strategist, you will be the project lead for customer engagements. In collaboration with a technical lead, you’ll drive a motivated team of engineers and researchers focused on solving our customers' most critical problems. Your mission is to own business outcomes, ensure that the project team creates value for the customer, and earn customer trust. You will be responsible for the entire customer engagement from start to finish.
In a typical engagement, you will begin by understanding customer problems and desired outcomes. With this context, you will embed yourself in the complex workflows of our customers, to identify opportunities where AI can solve pain points. After scoping a meaningful project, you will lead your team to ensure that we deliver a system with high quality and model accuracy. Because we care about driving real value, your engagement doesn’t stop with delivery of the system - you are also responsible for driving user adoption and iterating to make sure this product is valuable to the end user.
This role requires a curious and analytical approach, the ability to identify valuable problems to solve, strong intuition for product development, and a deep commitment to customer success.
Earn Customer Trust: Demonstrate customer empathy and be the face of Distyl, managing relationships from end-users to executive stakeholders
End-to-end Workflow & Outcome Ownership: Identify the most valuable problems to solve. Embed yourself in the customer's workflow to understand it better than the users themselves. Ensure high accuracy and reliability to achieve the desired outcomes. Take ownership and accountability for the success of the customer engagement
Leadership: You and a technical lead will be jointly responsible for leading a team to deliver results to the customer
Data Analysis: Navigate noisy enterprise data to identify how AI can create reliable outcomes despite real-world constraints
User Adoption: Onboard users to our enterprise applications and platform, ensuring they realize value
Product Feedback: Represent the customer's voice, surfacing pain points that drive future product improvements
Operational Experience: A proven record in managing complex projects or strategic leadership roles, with demonstrable experience in client-facing positions within AI or technology integration
Exceptional Communication Skills: Capable of earning customer trust and liaising effectively between clients and internal teams
User Empathy and Customer Focus: A deep sense of user empathy and a customer-obsessed approach, ensuring solutions are technically sound and aligned with customer needs
Thrive in Ambiguity: Ability to identify critical problems in complex situations, define outcomes, and create structure among competing priorities
AI Passion: A passion for AI and optimism about its potential to impact the world
Coding Experience: Proficiency in programming, scripting, or statistical packages (e.g., Python, R, Matlab, SQL)
Travel: Ability to travel 50%
The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAs an AI Strategist, you will be the project lead for customer engagements. In collaboration with a technical lead, you’ll drive a motivated team of engineers and researchers focused on solving our customers' most critical problems. Your mission is to own business outcomes, ensure that the project team creates value for the customer, and earn customer trust. You will be responsible for the entire customer engagement from start to finish.\n\n\n\nIn a typical engagement, you will begin by understanding customer problems and desired outcomes. With this context, you will embed yourself in the complex workflows of our customers, to identify opportunities where AI can solve pain points. After scoping a meaningful project, you will lead your team to ensure that we deliver a system with high quality and model accuracy. Because we care about driving real value, your engagement doesn’t stop with delivery of the system - you are also responsible for driving user adoption and iterating to make sure this product is valuable to the end user.\n\n\n\nThis role requires a curious and analytical approach, the ability to identify valuable problems to solve, strong intuition for product development, and a deep commitment to customer success.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Earn Customer Trust: Demonstrate customer empathy and be the face of Distyl, managing relationships from end-users to executive stakeholders\n\n - End-to-end Workflow & Outcome Ownership: Identify the most valuable problems to solve. Embed yourself in the customer's workflow to understand it better than the users themselves. Ensure high accuracy and reliability to achieve the desired outcomes. Take ownership and accountability for the success of the customer engagement\n\n - Leadership: You and a technical lead will be jointly responsible for leading a team to deliver results to the customer\n\n - Data Analysis: Navigate noisy enterprise data to identify how AI can create reliable outcomes despite real-world constraints\n\n - User Adoption: Onboard users to our enterprise applications and platform, ensuring they realize value\n\n - Product Feedback: Represent the customer's voice, surfacing pain points that drive future product improvements\n \n \n\n\nWHO YOU ARE\n\n - Operational Experience: A proven record in managing complex projects or strategic leadership roles, with demonstrable experience in client-facing positions within AI or technology integration\n\n - Exceptional Communication Skills: Capable of earning customer trust and liaising effectively between clients and internal teams\n\n - User Empathy and Customer Focus: A deep sense of user empathy and a customer-obsessed approach, ensuring solutions are technically sound and aligned with customer needs\n\n - Thrive in Ambiguity: Ability to identify critical problems in complex situations, define outcomes, and create structure among competing priorities\n\n - AI Passion: A passion for AI and optimism about its potential to impact the world\n\n - Coding Experience: Proficiency in programming, scripting, or statistical packages (e.g., Python, R, Matlab, SQL)\n\n - Travel: Ability to travel 50%\n \n \n\n\nWHAT WE OFFER \n\n - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"f0512c91-6dd3-462b-926f-c199b1084125","title":"AI Strategist, Healthcare Solutions","department":"Solutions","team":"Solutions","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2026-05-14T18:26:10.617+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/f0512c91-6dd3-462b-926f-c199b1084125","applyUrl":"https://jobs.ashbyhq.com/Distyl/f0512c91-6dd3-462b-926f-c199b1084125/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
As an AI Strategist, you'll lead and drive the technology solutions in Healthcare vertical and drive the GTM process with healthcare customer engagements, from first meeting to deal signed. You'll drive revenue and new logo expansion by diagnosing customer problems through an AI lens and designing data-driven, AI-enabled strategies that deliver desired outcomes and help prospective clients see the immediate value of AI adoption. As a core member of Distyl’s Healthcare GTM Team, you'll operate in 0→1 mode — rapidly building demos and proof-of-concept solutions that showcase the Distillery platform’s capabilities to prospective healthcare clients.
You'll work at the intersection of business strategy and AI implementation, bridging the gap between Distyl’s technical AI tools and the business outcomes that get deals signed. Strong communication and storytelling skills are essential. You are the person in the room making the case for AI transformation. You'll also get hands-on — prototyping workflows on the Distillery platform, building demos in days not months, and collaborating with healthcare SMEs (clinicians, case managers, claims analysts) to ensure solutions address real operational pain points.
This is a high-ownership role for someone who thrives at the intersection of AI strategy, analytics, and execution — and wants to build the GTM engine of an early-stage AI company from the ground up.
Drive the AI solutioning throughout the pre-sales process on healthcare deals — from initial discovery through deal close, you own the momentum that gets engagements across the finish line
Diagnose prospective client problems through an AI lens and identify where AI-enabled strategies can transform operations, optimize workflows, and improve outcomes at scale
Research clients and their industry landscape to prepare materials for prospective client meetings, including use case points of view tailored to each prospect
Develop deep expertise in Distyl’s Healthcare Solutions (Utilization Management, Care Management, Cost of Care, Claims, Member/Provider Communications etc.) to identify and prioritize high-value use cases for each customer
Feed insights to AEs to sharpen the pitch and differentiate Distyl’s AI-enabled offerings
Conduct technical discovery after Account Executives open the door — identify the right use cases, solution architecture, and feasibility
Identify the most valuable problems to solve. Embed yourself in the customer’s workflow to understand it better than the users themselves
Work closely with engineering to co-design solutions — you can whiteboard an architecture, debate tradeoffs in system design, and bridge the gap between what the customer needs and what the platform can deliver
Build demos and competitive positioning docs with internal stakeholders, driving rapid delivery for demos and POC scoping
Build out POC proposals — define scope, success criteria, timelines, and resource requirements
Navigate noisy enterprise data to identify how AI can create reliable outcomes despite real-world constraints
Build compelling storylines and decks that make the ROI of AI transformation concrete and undeniable
Create and maintain reusable GTM assets — demo scripts, ROI calculators, competitive positioning materials, and use-case-specific pitch decks aligned for Solutions
Own the knowledge transfer, ensuring clean, formal handoff to the expansion team
Maintain living account documentation during the pre-sales phase
8-12 years of experience in sales engineering, solutions consulting, product management, technical growth, chief of staff, or a similar role at the intersection of business and technology, with deep, direct experience in healthcare (payer operations, provider workflows, or health tech). You understand how a prior authorization gets processed, why claims adjudication breaks, and what a medical director actually cares about
Technical undergraduate degree (CS, engineering, math, or similar) — you don’t just understand technical concepts, you build with them. You can write code to prototype a workflow, interrogate a dataset in Python/SQL, and speak fluently with engineers about system design and API architecture
Hands-on experience designing and building GenAI solutions — not just scoping them. You’ve gotten your hands dirty with LLM pipelines, prompt engineering, RAG architectures, or similar, and can prototype on a platform like Distillery without waiting for engineering to hand you a demo
Ability to translate complex AI technical capabilities into specific, high-value business outcomes. You can make enterprise executives see why AI adoption matters now
Strong engineering-adjacent data skills: Write SQL, work in Python/pandas, and navigate messy enterprise datasets to pull the insights that drive deal narratives. Bonus if you’ve worked with healthcare-specific data formats
Exceptional communication and storytelling skills: You can command a room, structure a pitch, build a narrative arc, and make complex AI concepts land with senior executives
Deep domain expertise in healthcare operations — you’ve lived in the workflows (UM, care management, claims, network) and understand the regulatory, clinical, and operational constraints that shape AI adoption in this space. Experience navigating NCQA, CMS guidelines, or clinical documentation requirements is a strong signal.
Thrive in Ambiguity: Ability to identify critical problems in complex situations and define outcomes.
High ownership and intensity — you operate like a founder, not a task-taker
Comfortable engaging with VP/C-level executives at Fortune 500 healthcare organizations
You’ll develop deep fluency in Distyl’s Distillery platform, its primitives, and its capabilities — building demos and POCs directly on the platform, not just presenting what someone else built
Travel: Ability to travel 50%
The base salary range for this role is $150K – $250K , depending on experience, location, and level. In addition to base compensation, meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAs an AI Strategist, you'll lead and drive the technology solutions in Healthcare vertical and drive the GTM process with healthcare customer engagements, from first meeting to deal signed. You'll drive revenue and new logo expansion by diagnosing customer problems through an AI lens and designing data-driven, AI-enabled strategies that deliver desired outcomes and help prospective clients see the immediate value of AI adoption. As a core member of Distyl’s Healthcare GTM Team, you'll operate in 0→1 mode — rapidly building demos and proof-of-concept solutions that showcase the Distillery platform’s capabilities to prospective healthcare clients.\n\n \n\nYou'll work at the intersection of business strategy and AI implementation, bridging the gap between Distyl’s technical AI tools and the business outcomes that get deals signed. Strong communication and storytelling skills are essential. You are the person in the room making the case for AI transformation. You'll also get hands-on — prototyping workflows on the Distillery platform, building demos in days not months, and collaborating with healthcare SMEs (clinicians, case managers, claims analysts) to ensure solutions address real operational pain points.\n\n \n\nThis is a high-ownership role for someone who thrives at the intersection of AI strategy, analytics, and execution — and wants to build the GTM engine of an early-stage AI company from the ground up.\n\n \n\n\nKEY RESPONSIBILITIES\n\n - Drive the AI solutioning throughout the pre-sales process on healthcare deals — from initial discovery through deal close, you own the momentum that gets engagements across the finish line\n\n - Diagnose prospective client problems through an AI lens and identify where AI-enabled strategies can transform operations, optimize workflows, and improve outcomes at scale\n\n - Research clients and their industry landscape to prepare materials for prospective client meetings, including use case points of view tailored to each prospect\n\n - Develop deep expertise in Distyl’s Healthcare Solutions (Utilization Management, Care Management, Cost of Care, Claims, Member/Provider Communications etc.) to identify and prioritize high-value use cases for each customer\n\n - Feed insights to AEs to sharpen the pitch and differentiate Distyl’s AI-enabled offerings\n\n - Conduct technical discovery after Account Executives open the door — identify the right use cases, solution architecture, and feasibility\n\n - Identify the most valuable problems to solve. Embed yourself in the customer’s workflow to understand it better than the users themselves\n\n - Work closely with engineering to co-design solutions — you can whiteboard an architecture, debate tradeoffs in system design, and bridge the gap between what the customer needs and what the platform can deliver\n\n - Build demos and competitive positioning docs with internal stakeholders, driving rapid delivery for demos and POC scoping\n\n - Build out POC proposals — define scope, success criteria, timelines, and resource requirements\n\n - Navigate noisy enterprise data to identify how AI can create reliable outcomes despite real-world constraints\n\n - Build compelling storylines and decks that make the ROI of AI transformation concrete and undeniable\n\n - Create and maintain reusable GTM assets — demo scripts, ROI calculators, competitive positioning materials, and use-case-specific pitch decks aligned for Solutions\n\n - Own the knowledge transfer, ensuring clean, formal handoff to the expansion team\n\n - Maintain living account documentation during the pre-sales phase\n\n \n\n\nWHO YOU ARE\n\n - 8-12 years of experience in sales engineering, solutions consulting, product management, technical growth, chief of staff, or a similar role at the intersection of business and technology, with deep, direct experience in healthcare (payer operations, provider workflows, or health tech). You understand how a prior authorization gets processed, why claims adjudication breaks, and what a medical director actually cares about\n\n - Technical undergraduate degree (CS, engineering, math, or similar) — you don’t just understand technical concepts, you build with them. You can write code to prototype a workflow, interrogate a dataset in Python/SQL, and speak fluently with engineers about system design and API architecture\n\n - Hands-on experience designing and building GenAI solutions — not just scoping them. You’ve gotten your hands dirty with LLM pipelines, prompt engineering, RAG architectures, or similar, and can prototype on a platform like Distillery without waiting for engineering to hand you a demo\n\n - Ability to translate complex AI technical capabilities into specific, high-value business outcomes. You can make enterprise executives see why AI adoption matters now\n\n - Strong engineering-adjacent data skills: Write SQL, work in Python/pandas, and navigate messy enterprise datasets to pull the insights that drive deal narratives. Bonus if you’ve worked with healthcare-specific data formats\n\n - Exceptional communication and storytelling skills: You can command a room, structure a pitch, build a narrative arc, and make complex AI concepts land with senior executives\n\n - Deep domain expertise in healthcare operations — you’ve lived in the workflows (UM, care management, claims, network) and understand the regulatory, clinical, and operational constraints that shape AI adoption in this space. Experience navigating NCQA, CMS guidelines, or clinical documentation requirements is a strong signal.\n\n - Thrive in Ambiguity: Ability to identify critical problems in complex situations and define outcomes.\n\n - High ownership and intensity — you operate like a founder, not a task-taker\n\n - Comfortable engaging with VP/C-level executives at Fortune 500 healthcare organizations\n\n - You’ll develop deep fluency in Distyl’s Distillery platform, its primitives, and its capabilities — building demos and POCs directly on the platform, not just presenting what someone else built\n\n - Travel: Ability to travel 50%\n \n \n\n\nWHAT WE OFFER \n\n - The base salary range for this role is $150K – $250K , depending on experience, location, and level. In addition to base compensation, meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"d6703c85-b399-475b-8bf7-d40c7b50ad39","title":"AI Strategist","department":"Solutions","team":"Solutions","employmentType":"FullTime","location":"London, UK","secondaryLocations":[],"publishedAt":"2026-05-28T21:25:24.995+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"UK"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/d6703c85-b399-475b-8bf7-d40c7b50ad39","applyUrl":"https://jobs.ashbyhq.com/Distyl/d6703c85-b399-475b-8bf7-d40c7b50ad39/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
As an AI Strategist, you'll be the project lead on customer engagements — pairing with a technical lead to drive teams of engineers and researchers toward solving the problems that matter most to our clients. You own business outcomes. You earn trust. You see engagements through from the first discovery conversation to measurable, lasting impact.
As our first hire in London, you'll also play a meaningful role in shaping how Distyl shows up in the UK market. This role requires a curious and analytical approach, the ability to identify valuable problems to solve, strong product instincts, and a deep commitment to customer success.
Earn Customer Trust: You'll be Distyl's primary relationship owner — credible with end-users, compelling with C-suite stakeholders, and trusted by both
Own Engagements End-to-End: You'll start by getting to grips with a customer's world — their workflows, their pain points, the gap between where they are and where they want to be. You'll identify where AI can make a genuine difference, scope a meaningful project, and lead your team to deliver it with precision. Delivery isn't the finish line; adoption and impact are
Lead Cross-Functional Teams: Working alongside a technical lead, you'll direct engineers and researchers to move fast and stay focused. You'll keep the team anchored to outcomes, not just outputs
Navigate Enterprise Data: Real enterprise data is messy. You'll know how to find the signal, understand the constraints, and design for reliability — not just accuracy in ideal conditions
Drive User Adoption: Getting a system built is one thing. Getting people to use it, trust it, and rely on it is another. You'll own that challenge — onboarding users, gathering feedback, and iterating until the product genuinely earns its place in their workflow
Feed the Product Roadmap: You're on the front lines. You'll surface what customers actually need, translating real-world friction into product improvements that make Distyl better for everyone
Experienced in complex, client-facing work: You've led projects, managed stakeholders, and delivered results in AI, technology consulting, or a fast-moving enterprise environment.
A strong communicator: You can hold a room with a CTO and sit down with an ops team to understand their daily frustrations. You adapt without losing your point of view.
Genuinely curious about how things work: You embed yourself in customer workflows until you understand them better than the people doing them. You ask the second and third question, not just the first
Comfortable with ambiguity: You can walk into a complex situation, cut through the noise, identify what actually matters, and build a path forward
Optimistic about AI: Not naively, but with a grounded belief that applied AI can genuinely transform how organisations work, and the drive to prove it
Technical enough to be dangerous: You're comfortable with Python, SQL, or similar tools. You don't need to be an engineer, but you need to be able to work shoulder-to-shoulder with one
Willing to travel: Expect 25–75% travel, varying by engagement
Competitive salary, meaningful equity, and a comprehensive benefits package
Workplace Pension Scheme with employer contributions
Private Medical Insurance (PMI) offered
Flexible Time Off + Holidays
Lunch provided on office days
Access to state-of-the-art models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that prizes curiosity, pragmatism, and excellence
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAs an AI Strategist, you'll be the project lead on customer engagements — pairing with a technical lead to drive teams of engineers and researchers toward solving the problems that matter most to our clients. You own business outcomes. You earn trust. You see engagements through from the first discovery conversation to measurable, lasting impact.\n\n\n\nAs our first hire in London, you'll also play a meaningful role in shaping how Distyl shows up in the UK market. This role requires a curious and analytical approach, the ability to identify valuable problems to solve, strong product instincts, and a deep commitment to customer success.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Earn Customer Trust: You'll be Distyl's primary relationship owner — credible with end-users, compelling with C-suite stakeholders, and trusted by both\n\n - Own Engagements End-to-End: You'll start by getting to grips with a customer's world — their workflows, their pain points, the gap between where they are and where they want to be. You'll identify where AI can make a genuine difference, scope a meaningful project, and lead your team to deliver it with precision. Delivery isn't the finish line; adoption and impact are\n\n - Lead Cross-Functional Teams: Working alongside a technical lead, you'll direct engineers and researchers to move fast and stay focused. You'll keep the team anchored to outcomes, not just outputs\n\n - Navigate Enterprise Data: Real enterprise data is messy. You'll know how to find the signal, understand the constraints, and design for reliability — not just accuracy in ideal conditions\n\n - Drive User Adoption: Getting a system built is one thing. Getting people to use it, trust it, and rely on it is another. You'll own that challenge — onboarding users, gathering feedback, and iterating until the product genuinely earns its place in their workflow\n\n - Feed the Product Roadmap: You're on the front lines. You'll surface what customers actually need, translating real-world friction into product improvements that make Distyl better for everyone\n \n \n\n\nWHO YOU ARE\n\n - Experienced in complex, client-facing work: You've led projects, managed stakeholders, and delivered results in AI, technology consulting, or a fast-moving enterprise environment.\n\n - A strong communicator: You can hold a room with a CTO and sit down with an ops team to understand their daily frustrations. You adapt without losing your point of view.\n\n - Genuinely curious about how things work: You embed yourself in customer workflows until you understand them better than the people doing them. You ask the second and third question, not just the first\n\n - Comfortable with ambiguity: You can walk into a complex situation, cut through the noise, identify what actually matters, and build a path forward\n\n - Optimistic about AI: Not naively, but with a grounded belief that applied AI can genuinely transform how organisations work, and the drive to prove it\n\n - Technical enough to be dangerous: You're comfortable with Python, SQL, or similar tools. You don't need to be an engineer, but you need to be able to work shoulder-to-shoulder with one\n\n - Willing to travel: Expect 25–75% travel, varying by engagement\n\n\n\n\nWHAT WE OFFER\n\n - Competitive salary, meaningful equity, and a comprehensive benefits package\n\n - Workplace Pension Scheme with employer contributions\n\n - Private Medical Insurance (PMI) offered\n\n - Flexible Time Off + Holidays\n\n - Lunch provided on office days\n\n - Access to state-of-the-art models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that prizes curiosity, pragmatism, and excellence\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"46728319-c47a-48c8-bbfb-af0d9bff2ea2","title":"AI Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2026-06-18T19:34:43.033+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/46728319-c47a-48c8-bbfb-af0d9bff2ea2","applyUrl":"https://jobs.ashbyhq.com/Distyl/46728319-c47a-48c8-bbfb-af0d9bff2ea2/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
AI Engineers build and operate production AI systems that deliver business value inside customer environments. This role is for engineers who thrive in ambiguous problem spaces, take ownership of outcomes, and want to work directly on AI systems that must perform reliably under enterprise constraints.
AI Engineers are hands-on builders. They design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other Distyl engineers. They translate messy operational needs into concrete system behavior, build the software and AI workflows required to support that behavior, and continuously improve systems through evaluation, feedback, integration, and production iteration.
This is not a demo-building role. AI Engineers are expected to make AI systems work in practice: with users, data, constraints, and accountability for production outcomes.
Build and operate AI systems deployed in customer environments, taking ownership of system behavior, reliability, and usefulness in production
Design and implement compound AI workflows that combine models, prompts, agents, tools, retrieval, evaluation, feedback loops, and execution into coherent production systems aligned with user and SME needs
Develop clean, maintainable Python services and application logic that integrate AI capabilities into customer workflows, data platforms, APIs, and existing applications
Operate on live systems by measuring behavior, identifying failure modes, debugging issues, and iterating rapidly to improve quality, reliability, and user value
Build evaluation frameworks, test cases, feedback mechanisms, and observability patterns that help teams understand and improve AI system performance over time
Work directly with customer stakeholders and subject matter experts to understand workflows, clarify requirements, reason about tradeoffs, and adapt systems as needs evolve
Use AI-native engineering tools to accelerate implementation, debugging, experimentation, data analysis, and system improvement
Collaborate with other AI Engineers, AI Strategists, and other Distillers to make pragmatic system design decisions that balance speed, robustness, maintainability, and customer impact
Take accountability for the production outcomes of the components, workflows, and systems you build
5+ years of software engineering experience
Ownership mentality for AI systems. You take responsibility for whether the systems you build deliver their intended value in production. You are comfortable making technical decisions, learning from system behavior, and owning the results of your work
Experience building AI systems. You have built applications powered by LLMs or other AI models and are comfortable composing multiple components — prompts, agents, tools, retrieval, evaluators, workflows, and integrations — into end-to-end systems. You reason about system behavior holistically rather than treating models as black boxes
Strong engineering fundamentals. You write clean, maintainable Python and are comfortable building production software systems. You understand core engineering concepts like versioning, debugging, testing, performance, code review, and production readiness
AI-native working style. You use AI tools daily to write and debug code, explore designs, analyze data, and automate repetitive work. You are curious about new model capabilities and techniques, and actively incorporate them into how you build and iterate on systems
Comfort in customer environments. You are able to work directly with customer teams, ask good questions, and adapt quickly to new domains. You communicate clearly about system behavior, limitations, and tradeoffs, and can operate effectively in high-trust, high-visibility situations
Pragmatic delivery mindset. You can navigate ambiguity, make progress with incomplete information, and balance speed with robustness when building systems that need to work for production users
Willingness to travel. Travel is typically 10–30%, depending on the project, customer needs, and your role on the engagement
The base salary range for this role is $180K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAI Engineers build and operate production AI systems that deliver business value inside customer environments. This role is for engineers who thrive in ambiguous problem spaces, take ownership of outcomes, and want to work directly on AI systems that must perform reliably under enterprise constraints.\n\n\n\nAI Engineers are hands-on builders. They design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other Distyl engineers. They translate messy operational needs into concrete system behavior, build the software and AI workflows required to support that behavior, and continuously improve systems through evaluation, feedback, integration, and production iteration.\n\n\n\nThis is not a demo-building role. AI Engineers are expected to make AI systems work in practice: with users, data, constraints, and accountability for production outcomes.\n\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Build and operate AI systems deployed in customer environments, taking ownership of system behavior, reliability, and usefulness in production\n\n - Design and implement compound AI workflows that combine models, prompts, agents, tools, retrieval, evaluation, feedback loops, and execution into coherent production systems aligned with user and SME needs\n\n - Develop clean, maintainable Python services and application logic that integrate AI capabilities into customer workflows, data platforms, APIs, and existing applications\n\n - Operate on live systems by measuring behavior, identifying failure modes, debugging issues, and iterating rapidly to improve quality, reliability, and user value\n\n - Build evaluation frameworks, test cases, feedback mechanisms, and observability patterns that help teams understand and improve AI system performance over time\n\n - Work directly with customer stakeholders and subject matter experts to understand workflows, clarify requirements, reason about tradeoffs, and adapt systems as needs evolve\n\n - Use AI-native engineering tools to accelerate implementation, debugging, experimentation, data analysis, and system improvement\n\n - Collaborate with other AI Engineers, AI Strategists, and other Distillers to make pragmatic system design decisions that balance speed, robustness, maintainability, and customer impact\n\n - Take accountability for the production outcomes of the components, workflows, and systems you build\n\n\n\n\nWHAT WE REQUIRE\n\n - 5+ years of software engineering experience\n\n - Ownership mentality for AI systems. You take responsibility for whether the systems you build deliver their intended value in production. You are comfortable making technical decisions, learning from system behavior, and owning the results of your work\n\n - Experience building AI systems. You have built applications powered by LLMs or other AI models and are comfortable composing multiple components — prompts, agents, tools, retrieval, evaluators, workflows, and integrations — into end-to-end systems. You reason about system behavior holistically rather than treating models as black boxes\n\n - Strong engineering fundamentals. You write clean, maintainable Python and are comfortable building production software systems. You understand core engineering concepts like versioning, debugging, testing, performance, code review, and production readiness\n\n - AI-native working style. You use AI tools daily to write and debug code, explore designs, analyze data, and automate repetitive work. You are curious about new model capabilities and techniques, and actively incorporate them into how you build and iterate on systems\n\n - Comfort in customer environments. You are able to work directly with customer teams, ask good questions, and adapt quickly to new domains. You communicate clearly about system behavior, limitations, and tradeoffs, and can operate effectively in high-trust, high-visibility situations\n\n - Pragmatic delivery mindset. You can navigate ambiguity, make progress with incomplete information, and balance speed with robustness when building systems that need to work for production users\n\n - Willingness to travel. Travel is typically 10–30%, depending on the project, customer needs, and your role on the engagement\n\n\n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $180K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"553bd8ed-25f2-4bcf-817a-f17ddc816896","title":"AI Engineer, Lead","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2026-06-18T19:35:45.260+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/553bd8ed-25f2-4bcf-817a-f17ddc816896","applyUrl":"https://jobs.ashbyhq.com/Distyl/553bd8ed-25f2-4bcf-817a-f17ddc816896/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
AI Engineers are hands-on technical leaders who own the architecture, execution, and delivery of critical production AI systems for large enterprise customers. They make technical decisions, lead project delivery, coach engineers, and partner closely with customer stakeholders and Distyl’s AI strategy team to ensure systems deliver real business value.
This role is for engineers who want ownership over production outcomes: shaping system architecture, leading technical execution, working directly with customers, and improving AI systems under real-world constraints.
Lead and mentor a team of AI Engineers—owning technical direction, code quality, execution standards, and individual growth
Design and implement AI systems that combine models, agents, retrieval, evaluation, and execution into coherent, production-ready systems aligned with real business outcomes
Work directly with customer stakeholders, often in high-visibility settings, and communicate clearly about system behavior, tradeoffs, limitations, and paths to improvement
Operate and improve live AI systems by measuring behavior, identifying failure modes, debugging issues, and rapidly iterating on quality, reliability, and usefulness
Integrate AI systems into customer data platforms, APIs, and existing applications. Make pragmatic system design decisions that balance speed, robustness, maintainability, and long-term operability
Take accountability for outcomes in production and adapt systems as requirements evolve
8+ years of engineering experience, including experience as a tech lead or engineering lead on customer-facing or production AI projects
Ownership mentality for AI systems. You take responsibility for whether an AI system delivers its intended value in production. You are comfortable making independent technical decisions across system design, evaluation, integration, and iteration
Technical leadership in teams. Management experience is not required, but you should have led engineers through technical decision-making, execution, mentorship, and delivery. Growth in this role includes taking on broader technical and leadership scope over time
Strong solutions architecture fundamentals: You have experience with cloud systems, system integrations, API design, and data engineering. You can understand how an AI system fits into a broader enterprise ecosystem and operate as a peer to customer architecture and engineering teams
AI-Native Working Style: You use AI tools daily to write and debug code, explore designs, analyze data, and automate repetitive work. You are curious about new model capabilities and techniques, and actively incorporate them into how you build and iterate on systems
Willingness to travel: Travel is typically 10–30%, depending on the project, customer needs, and your role on the engagement
The base salary range for this role is $200-$250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAI Engineers are hands-on technical leaders who own the architecture, execution, and delivery of critical production AI systems for large enterprise customers. They make technical decisions, lead project delivery, coach engineers, and partner closely with customer stakeholders and Distyl’s AI strategy team to ensure systems deliver real business value.\n\n\n\nThis role is for engineers who want ownership over production outcomes: shaping system architecture, leading technical execution, working directly with customers, and improving AI systems under real-world constraints.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Lead and mentor a team of AI Engineers—owning technical direction, code quality, execution standards, and individual growth\n\n - Design and implement AI systems that combine models, agents, retrieval, evaluation, and execution into coherent, production-ready systems aligned with real business outcomes\n\n - Work directly with customer stakeholders, often in high-visibility settings, and communicate clearly about system behavior, tradeoffs, limitations, and paths to improvement\n\n - Operate and improve live AI systems by measuring behavior, identifying failure modes, debugging issues, and rapidly iterating on quality, reliability, and usefulness\n\n - Integrate AI systems into customer data platforms, APIs, and existing applications. Make pragmatic system design decisions that balance speed, robustness, maintainability, and long-term operability\n\n - Take accountability for outcomes in production and adapt systems as requirements evolve\n\n\n\n\nWHO YOU ARE\n\n - 8+ years of engineering experience, including experience as a tech lead or engineering lead on customer-facing or production AI projects\n\n - Ownership mentality for AI systems. You take responsibility for whether an AI system delivers its intended value in production. You are comfortable making independent technical decisions across system design, evaluation, integration, and iteration\n\n - Technical leadership in teams. Management experience is not required, but you should have led engineers through technical decision-making, execution, mentorship, and delivery. Growth in this role includes taking on broader technical and leadership scope over time\n\n - Strong solutions architecture fundamentals: You have experience with cloud systems, system integrations, API design, and data engineering. You can understand how an AI system fits into a broader enterprise ecosystem and operate as a peer to customer architecture and engineering teams\n\n - AI-Native Working Style: You use AI tools daily to write and debug code, explore designs, analyze data, and automate repetitive work. You are curious about new model capabilities and techniques, and actively incorporate them into how you build and iterate on systems\n\n - Willingness to travel: Travel is typically 10–30%, depending on the project, customer needs, and your role on the engagement\n \n \n\n\nWHAT WE OFFER \n\n - The base salary range for this role is $200-$250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"a5d2b03b-61e2-4a83-9e74-beea1e3e7e72","title":"AI Engineer, Enterprise Lead","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2026-06-18T19:35:47.058+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/a5d2b03b-61e2-4a83-9e74-beea1e3e7e72","applyUrl":"https://jobs.ashbyhq.com/Distyl/a5d2b03b-61e2-4a83-9e74-beea1e3e7e72/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
AI Engineers, Enterprise Lead are senior technical leaders accountable for the technical success of Distyl’s most complex enterprise AI deployments. They may own one large customer engagement or provide technical oversight across multiple smaller accounts, maintaining technical coherence across workstreams, developing technical leaders, and ensuring production AI systems deliver durable business value in complex customer environments.
This role is for leaders who can operate across altitudes: reasoning with customer executives about tradeoffs and delivery risk, setting architecture across multiple teams, developing AI Engineer Leads and senior engineers, and staying close enough to the work to make sound technical judgments about AI system behavior, code quality, evaluations, integrations, and production reliability.
Lead the technical success of complex enterprise AI deployments, either across one large customer engagement or a portfolio of smaller accounts, often spanning multiple use cases, production systems, workstreams, and teams
Set technical direction across engagements, ensuring architecture, system behavior, evaluation strategy, integrations, and operational practices remain coherent as deployments grow
Develop AI Engineer Leads, senior ICs, and emerging technical leaders, raising the bar for technical judgment, code quality, customer communication, and production ownership
Serve as the senior technical partner to customer executives, enterprise architects, and business partners, building trust through clear communication, sound judgment, and reliable delivery
Maintain technical proximity to live systems by reviewing designs, interrogating system behavior, debugging critical issues, guiding evaluation strategy, and participating in incident reviews and production quality improvements
Use AI-native engineering practices to increase your own leverage and model effective use of AI tools for design, implementation, debugging, analysis, experimentation, and operational improvement
Partner with company leadership on staffing, organizational design, leadership development, and customer expansion as engagements grow from pilot to enterprise-scale deployment
8+ years of software engineering experience, including experience leading technical teams through ambiguous, high-stakes production delivery
Multi-team technical leadership. You have led technical execution across multiple teams, workstreams, accounts, or senior engineers. You know how to create clarity, set standards, develop leaders, and keep teams aligned without becoming a bottleneck
Talent development. You raise the capability of the engineers around you. You can coach Tech Leads, senior ICs, and emerging leaders, and you know how to build a talent-dense engineering team over time. Prior people management experience is strongly preferred, but not required if you have demonstrated organizational leadership across multi-team engineering efforts
Enterprise technical ownership. You take responsibility for whether complex technical deployments deliver durable customer value. You can reason across architecture, delivery risk, team capability, customer constraints, system behavior, and production operations
Technical proximity and judgment. You can still reason deeply about production software. You understand architecture, debugging, testing, observability, performance, maintainability, security, and code quality. While you mostly operate through your teams, you are willing and able to do selective, high-leverage technical work when it materially improves outcomes
Customer and executive judgment. You can operate effectively in high-trust, high-visibility customer environments. You communicate clearly with executives, IT leaders, data teams, and operational SMEs about system behavior, delivery tradeoffs, risks, and limitations
AI-native working style. You use AI tools daily to write and debug code, explore designs, analyze data, automate repetitive work, and improve your own leverage. You are curious about new model capabilities and actively incorporate them into how you lead and build
Willingness to travel. Travel is typically 20–40%, depending on the project, customer needs, and your role on the engagement
The base salary range for this role is $200 – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAI Engineers, Enterprise Lead are senior technical leaders accountable for the technical success of Distyl’s most complex enterprise AI deployments. They may own one large customer engagement or provide technical oversight across multiple smaller accounts, maintaining technical coherence across workstreams, developing technical leaders, and ensuring production AI systems deliver durable business value in complex customer environments.\n\n\n\nThis role is for leaders who can operate across altitudes: reasoning with customer executives about tradeoffs and delivery risk, setting architecture across multiple teams, developing AI Engineer Leads and senior engineers, and staying close enough to the work to make sound technical judgments about AI system behavior, code quality, evaluations, integrations, and production reliability.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Lead the technical success of complex enterprise AI deployments, either across one large customer engagement or a portfolio of smaller accounts, often spanning multiple use cases, production systems, workstreams, and teams\n\n - Set technical direction across engagements, ensuring architecture, system behavior, evaluation strategy, integrations, and operational practices remain coherent as deployments grow\n\n - Develop AI Engineer Leads, senior ICs, and emerging technical leaders, raising the bar for technical judgment, code quality, customer communication, and production ownership\n\n - Serve as the senior technical partner to customer executives, enterprise architects, and business partners, building trust through clear communication, sound judgment, and reliable delivery\n\n - Maintain technical proximity to live systems by reviewing designs, interrogating system behavior, debugging critical issues, guiding evaluation strategy, and participating in incident reviews and production quality improvements\n\n - Use AI-native engineering practices to increase your own leverage and model effective use of AI tools for design, implementation, debugging, analysis, experimentation, and operational improvement\n\n - Partner with company leadership on staffing, organizational design, leadership development, and customer expansion as engagements grow from pilot to enterprise-scale deployment\n \n \n\n\nWHAT WE REQUIRE\n\n - 8+ years of software engineering experience, including experience leading technical teams through ambiguous, high-stakes production delivery\n\n - Multi-team technical leadership. You have led technical execution across multiple teams, workstreams, accounts, or senior engineers. You know how to create clarity, set standards, develop leaders, and keep teams aligned without becoming a bottleneck\n\n - Talent development. You raise the capability of the engineers around you. You can coach Tech Leads, senior ICs, and emerging leaders, and you know how to build a talent-dense engineering team over time. Prior people management experience is strongly preferred, but not required if you have demonstrated organizational leadership across multi-team engineering efforts\n\n - Enterprise technical ownership. You take responsibility for whether complex technical deployments deliver durable customer value. You can reason across architecture, delivery risk, team capability, customer constraints, system behavior, and production operations\n\n - Technical proximity and judgment. You can still reason deeply about production software. You understand architecture, debugging, testing, observability, performance, maintainability, security, and code quality. While you mostly operate through your teams, you are willing and able to do selective, high-leverage technical work when it materially improves outcomes\n\n - Customer and executive judgment. You can operate effectively in high-trust, high-visibility customer environments. You communicate clearly with executives, IT leaders, data teams, and operational SMEs about system behavior, delivery tradeoffs, risks, and limitations\n\n - AI-native working style. You use AI tools daily to write and debug code, explore designs, analyze data, automate repetitive work, and improve your own leverage. You are curious about new model capabilities and actively incorporate them into how you lead and build\n\n - Willingness to travel. Travel is typically 20–40%, depending on the project, customer needs, and your role on the engagement\n \n \n\n\nWHAT WE OFFER \n\n - The base salary range for this role is $200 – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"ebb7ae85-350a-4a53-81a4-3314c03230bc","title":"Lead AI Strategist","department":"Solutions","team":"Solutions","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2026-07-07T23:51:23.749+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/ebb7ae85-350a-4a53-81a4-3314c03230bc","applyUrl":"https://jobs.ashbyhq.com/Distyl/ebb7ae85-350a-4a53-81a4-3314c03230bc/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
As a Lead AI Strategist, you are the partner our largest customers turn to when they rethink how their business runs on AI. You work alongside CIOs, COOs, and their leadership teams on the technology and business strategy that reshapes how a company operates — and that partnership becomes some of Distyl’s deepest, fastest-growing relationships.
These are companies with hundreds of thousands of employees and problems measured in the hundreds of millions of dollars. You learn their business better than almost anyone outside it, bring Distyl’s engineers and researchers to their hardest problems, and own the outcome — as a strategic partner, not a vendor. The relationships you build run into the tens of millions of dollars a year and grow from there. The revenue is the result of trust, not a pitch.
Be the strategist in the room. Sit with CIOs, COOs, and their teams on where AI changes their business. Bring a point of view they can’t get from their own staff, and shape the technology and operating strategy — not a product pitch
Understand the business cold. Learn how the customer makes money and where the friction is. Find the problems worth hundreds of millions to solve, and frame them in their language, not Distyl’s
Turn strategy into outcomes. Translate executive conversations into real programs, mobilize Distyl’s forward-deployed engineers and researchers, and stay accountable to the metric that has to move
Grow the relationship. Expand from a first program into a portfolio across business units and budgets. Done well, these become Distyl’s largest relationships — tens of millions a year and climbing
Earn trust over the long run. Make the call that serves the customer even when it costs Distyl in the short term. That is what keeps a relationship compounding
Be the connective tissue. Align Distyl’s delivery, product, and research teams behind the commitments you make, and give leadership a clear read — explanations and plans, not excuses
A track record as a trusted advisor to senior executives — CIOs, COOs, and their peers — at large enterprises. The person leaders call before they’ve decided what to do
10-15+ years of experience in management consulting, an operational/ transformation leadership role within large enterprises, or product leadership role within enterprise technology companies
Experience in standing up and delivering strategic agendas ($100M+ value impact) with cross-functional executive team - shaping roadmaps, driving scoping and discovery, establishing ROI and value case for funding approvals
Fluency in both technology and business strategy: you can hold a conversation on architecture and on the P&L, and translate between the two
Experience turning strategic relationships into large, multi-year programs — and growing them
Command of complex, multi-stakeholder enterprise dynamics — procurement, security, legal, and competing internal agendas — without ever reading as a salesperson
AI-native instincts: you use frontier AI tools yourself and can speak credibly about what they change for a business
The judgment to tell a customer a hard truth, including when not to buy. Serve, don’t sell.
A history of leading large-scale enterprise programs — transformations with significant budgets ($XXM+) and many moving parts
You’ve been the person an executive team trusts with their biggest technology-driven bets
The base salary range for this role is $200 – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR \n\nAs a Lead AI Strategist, you are the partner our largest customers turn to when they rethink how their business runs on AI. You work alongside CIOs, COOs, and their leadership teams on the technology and business strategy that reshapes how a company operates — and that partnership becomes some of Distyl’s deepest, fastest-growing relationships.\n\n\n\nThese are companies with hundreds of thousands of employees and problems measured in the hundreds of millions of dollars. You learn their business better than almost anyone outside it, bring Distyl’s engineers and researchers to their hardest problems, and own the outcome — as a strategic partner, not a vendor. The relationships you build run into the tens of millions of dollars a year and grow from there. The revenue is the result of trust, not a pitch.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Be the strategist in the room. Sit with CIOs, COOs, and their teams on where AI changes their business. Bring a point of view they can’t get from their own staff, and shape the technology and operating strategy — not a product pitch\n\n - Understand the business cold. Learn how the customer makes money and where the friction is. Find the problems worth hundreds of millions to solve, and frame them in their language, not Distyl’s\n\n - Turn strategy into outcomes. Translate executive conversations into real programs, mobilize Distyl’s forward-deployed engineers and researchers, and stay accountable to the metric that has to move\n\n - Grow the relationship. Expand from a first program into a portfolio across business units and budgets. Done well, these become Distyl’s largest relationships — tens of millions a year and climbing\n\n - Earn trust over the long run. Make the call that serves the customer even when it costs Distyl in the short term. That is what keeps a relationship compounding\n\n - Be the connective tissue. Align Distyl’s delivery, product, and research teams behind the commitments you make, and give leadership a clear read — explanations and plans, not excuses\n\n\n\n\nWHO YOU ARE\n\n - A track record as a trusted advisor to senior executives — CIOs, COOs, and their peers — at large enterprises. The person leaders call before they’ve decided what to do\n\n - 10-15+ years of experience in management consulting, an operational/ transformation leadership role within large enterprises, or product leadership role within enterprise technology companies\n\n - Experience in standing up and delivering strategic agendas ($100M+ value impact) with cross-functional executive team - shaping roadmaps, driving scoping and discovery, establishing ROI and value case for funding approvals\n\n - Fluency in both technology and business strategy: you can hold a conversation on architecture and on the P&L, and translate between the two\n\n - Experience turning strategic relationships into large, multi-year programs — and growing them\n\n - Command of complex, multi-stakeholder enterprise dynamics — procurement, security, legal, and competing internal agendas — without ever reading as a salesperson\n\n - AI-native instincts: you use frontier AI tools yourself and can speak credibly about what they change for a business\n\n - The judgment to tell a customer a hard truth, including when not to buy. Serve, don’t sell.\n\n - A history of leading large-scale enterprise programs — transformations with significant budgets ($XXM+) and many moving parts\n\n - You’ve been the person an executive team trusts with their biggest technology-driven bets\n\n\n\n\nWHAT WE OFFER \n\n - The base salary range for this role is $200 – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"fe44469c-0f27-408c-878c-5e296b7db50e","title":"Research Engineers, Data","department":"Research","team":"Research","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2026-07-07T15:39:12.519+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/fe44469c-0f27-408c-878c-5e296b7db50e","applyUrl":"https://jobs.ashbyhq.com/Distyl/fe44469c-0f27-408c-878c-5e296b7db50e/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
At Distyl, Research Engineers build the bridge between frontier AI research and production systems that deliver real business value. This role is for engineers who are excited to investigate how AI systems should be designed, rapidly prototype new ideas, and turn promising concepts into reliable systems that work inside real customer environments.
Research Engineers operate at the intersection of applied research, systems engineering, and customer-facing deployment. They design and implement compound AI systems, run experiments to understand system behavior, build evaluation frameworks, and collaborate closely with AI Researchers, AI Engineers, and customer stakeholders. Their work is not limited to demos or isolated prototypes: they help turn new techniques into robust systems that can be measured, operated, and improved in production.
Design and build data systems that power reliable AI workflows across enterprise environments
Develop pipelines for collecting, cleaning, transforming, labeling, and evaluating domain-specific data used by AI systems
Create data quality frameworks that identify coverage gaps, ambiguity, drift, duplication, leakage, and other failure modes
Build tools and workflows that help teams turn raw customer data into usable context for retrieval, evaluation, reasoning, and execution
Partner with AI Researchers and AI Engineers to understand how data quality affects system behavior and production outcomes
Develop synthetic data, annotation, and feedback-loop strategies to improve system performance in areas where real-world data is sparse or noisy
Analyze customer workflows and datasets to determine what information AI systems need, where that information should come from, and how it should be represented
Communicate clearly with internal teams and customer stakeholders about data assumptions, limitations, risks, and tradeoffs
Experience Building Data Systems for AI: You have built data pipelines, evaluation datasets, labeling workflows, retrieval corpora, or similar systems that improve model or agent behavior
Strong Data Engineering Fundamentals: You write clean Python and SQL, understand data modeling and pipeline reliability, and can build systems that are maintainable under production constraints
Research-Oriented Builder: You are comfortable investigating how data quality, structure, and representation affect AI system performance
AI-Native Working Style: You use AI tools daily to accelerate coding, analysis, debugging, exploration, and workflow automation
Comfort with Ambiguous Data: You can reason through messy enterprise datasets, incomplete documentation, conflicting business definitions, and changing requirements
Bias Towards Measurement: You prefer to make data quality and system behavior observable through concrete metrics, evaluations, and experiments
Customer Environment Readiness: You can work directly with customer teams to understand their data, ask precise questions, and explain tradeoffs clearly
Ownership Mentality: You take responsibility for whether the data layer enables the AI system to deliver reliable value in production
The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAt Distyl, Research Engineers build the bridge between frontier AI research and production systems that deliver real business value. This role is for engineers who are excited to investigate how AI systems should be designed, rapidly prototype new ideas, and turn promising concepts into reliable systems that work inside real customer environments.\n\n\n\nResearch Engineers operate at the intersection of applied research, systems engineering, and customer-facing deployment. They design and implement compound AI systems, run experiments to understand system behavior, build evaluation frameworks, and collaborate closely with AI Researchers, AI Engineers, and customer stakeholders. Their work is not limited to demos or isolated prototypes: they help turn new techniques into robust systems that can be measured, operated, and improved in production.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Design and build data systems that power reliable AI workflows across enterprise environments\n\n - Develop pipelines for collecting, cleaning, transforming, labeling, and evaluating domain-specific data used by AI systems\n\n - Create data quality frameworks that identify coverage gaps, ambiguity, drift, duplication, leakage, and other failure modes\n\n - Build tools and workflows that help teams turn raw customer data into usable context for retrieval, evaluation, reasoning, and execution\n\n - Partner with AI Researchers and AI Engineers to understand how data quality affects system behavior and production outcomes\n\n - Develop synthetic data, annotation, and feedback-loop strategies to improve system performance in areas where real-world data is sparse or noisy\n\n - Analyze customer workflows and datasets to determine what information AI systems need, where that information should come from, and how it should be represented\n\n - Communicate clearly with internal teams and customer stakeholders about data assumptions, limitations, risks, and tradeoffs\n\n\n\n\nWHO YOU ARE\n\n - Experience Building Data Systems for AI: You have built data pipelines, evaluation datasets, labeling workflows, retrieval corpora, or similar systems that improve model or agent behavior\n\n - Strong Data Engineering Fundamentals: You write clean Python and SQL, understand data modeling and pipeline reliability, and can build systems that are maintainable under production constraints\n\n - Research-Oriented Builder: You are comfortable investigating how data quality, structure, and representation affect AI system performance\n\n - AI-Native Working Style: You use AI tools daily to accelerate coding, analysis, debugging, exploration, and workflow automation\n\n - Comfort with Ambiguous Data: You can reason through messy enterprise datasets, incomplete documentation, conflicting business definitions, and changing requirements\n\n - Bias Towards Measurement: You prefer to make data quality and system behavior observable through concrete metrics, evaluations, and experiments\n\n - Customer Environment Readiness: You can work directly with customer teams to understand their data, ask precise questions, and explain tradeoffs clearly\n\n - Ownership Mentality: You take responsibility for whether the data layer enables the AI system to deliver reliable value in production\n\n\n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"462996c2-f91d-4f21-bf77-7215a0be3d73","title":"Research Engineers, Agents","department":"Research","team":"Research","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2026-07-07T15:39:15.352+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/462996c2-f91d-4f21-bf77-7215a0be3d73","applyUrl":"https://jobs.ashbyhq.com/Distyl/462996c2-f91d-4f21-bf77-7215a0be3d73/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
At Distyl, Research Engineers build the bridge between frontier AI research and production systems that deliver real business value. This role is for engineers who are excited to investigate how AI systems should be designed, rapidly prototype new ideas, and turn promising concepts into reliable systems that work inside real customer environments.
Research Engineers operate at the intersection of applied research, systems engineering, and customer-facing deployment. They design and implement compound AI systems, run experiments to understand system behavior, build evaluation frameworks, and collaborate closely with AI Researchers, AI Engineers, and customer stakeholders. Their work is not limited to demos or isolated prototypes: they help turn new techniques into robust systems that can be measured, operated, and improved in production.
Design, prototype, and implement agentic AI systems that perform reliably across complex enterprise workflows
Build compound AI architectures that combine planning, tool use, retrieval, memory, evaluation, orchestration, and execution
Investigate how agents reason, coordinate, recover from errors, and interact with external systems under real-world constraints
Develop evaluation frameworks that measure agent behavior, task completion, reliability, robustness, and failure modes
Create tools and abstractions that make agent behavior easier to observe, debug, test, and improve
Partner with AI Researchers to explore new agent architectures and with AI Engineers to harden successful approaches for production use
Integrate agents into customer APIs, applications, data platforms, and operational workflows
Communicate clearly with internal teams and customer stakeholders about agent capabilities, limitations, tradeoffs, and risks
Experience Building Agentic Systems: You have built AI systems that use models, tools, retrieval, planning, memory, or multi-step execution to complete real tasks
Strong Engineering Fundamentals: You write clean, maintainable Python and are comfortable debugging complex, stateful systems
Systems-Level Reasoning: You think holistically about how prompts, tools, context, evaluators, state, orchestration, and external APIs interact
Research-Oriented Builder: You are curious about why agents succeed or fail, and you can design experiments to test different architectures and behaviors
AI-Native Working Style: You use AI tools daily to write code, debug systems, explore designs, analyze traces, and accelerate experimentation
Bias Towards Showing vs. Telling: You prefer working demonstrations, traces, evaluations, and production behavior over abstract descriptions
Comfort in Customer Environments: You can translate ambiguous business workflows into concrete agent designs and explain system behavior clearly to stakeholders
Ownership Mentality: You take responsibility for whether an agentic system performs reliably, safely, and usefully in production
The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAt Distyl, Research Engineers build the bridge between frontier AI research and production systems that deliver real business value. This role is for engineers who are excited to investigate how AI systems should be designed, rapidly prototype new ideas, and turn promising concepts into reliable systems that work inside real customer environments.\n\n\n\nResearch Engineers operate at the intersection of applied research, systems engineering, and customer-facing deployment. They design and implement compound AI systems, run experiments to understand system behavior, build evaluation frameworks, and collaborate closely with AI Researchers, AI Engineers, and customer stakeholders. Their work is not limited to demos or isolated prototypes: they help turn new techniques into robust systems that can be measured, operated, and improved in production.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Design, prototype, and implement agentic AI systems that perform reliably across complex enterprise workflows\n\n - Build compound AI architectures that combine planning, tool use, retrieval, memory, evaluation, orchestration, and execution\n\n - Investigate how agents reason, coordinate, recover from errors, and interact with external systems under real-world constraints\n\n - Develop evaluation frameworks that measure agent behavior, task completion, reliability, robustness, and failure modes\n\n - Create tools and abstractions that make agent behavior easier to observe, debug, test, and improve\n\n - Partner with AI Researchers to explore new agent architectures and with AI Engineers to harden successful approaches for production use\n\n - Integrate agents into customer APIs, applications, data platforms, and operational workflows\n\n - Communicate clearly with internal teams and customer stakeholders about agent capabilities, limitations, tradeoffs, and risks\n\n\n\n\nWHO YOU ARE\n\n - Experience Building Agentic Systems: You have built AI systems that use models, tools, retrieval, planning, memory, or multi-step execution to complete real tasks\n\n - Strong Engineering Fundamentals: You write clean, maintainable Python and are comfortable debugging complex, stateful systems\n\n - Systems-Level Reasoning: You think holistically about how prompts, tools, context, evaluators, state, orchestration, and external APIs interact\n\n - Research-Oriented Builder: You are curious about why agents succeed or fail, and you can design experiments to test different architectures and behaviors\n\n - AI-Native Working Style: You use AI tools daily to write code, debug systems, explore designs, analyze traces, and accelerate experimentation\n\n - Bias Towards Showing vs. Telling: You prefer working demonstrations, traces, evaluations, and production behavior over abstract descriptions\n\n - Comfort in Customer Environments: You can translate ambiguous business workflows into concrete agent designs and explain system behavior clearly to stakeholders\n\n - Ownership Mentality: You take responsibility for whether an agentic system performs reliably, safely, and usefully in production\n \n \n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"f907031f-c88f-45e3-8ae4-17c88a3858ab","title":"Applied AI Researcher, System Self-Construction","department":"Research","team":"Research","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2025-10-16T16:26:11.463+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/f907031f-c88f-45e3-8ae4-17c88a3858ab","applyUrl":"https://jobs.ashbyhq.com/Distyl/f907031f-c88f-45e3-8ae4-17c88a3858ab/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
At Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.
Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.
The System Self-Construction team builds systems that can build other systems. Researchers design architectures capable of autonomously generating, assembling, and refining sub-systems. This involves developing meta-learning loops, automated pipeline generation, and self-architecting frameworks that reduce the human bottleneck in complex system creation.
Researchers in Self-Construction study recursive design principles: how systems represent their own construction processes, evaluate them, and evolve. They draw from meta-learning, program synthesis, and evolutionary computation to explore what it means for a system to “understand” and redesign itself. Their work defines the frontier of self-referential, generative system architectures.
Experience Building Modular and Composable Systems: You’ve engineered architectures where components interact dynamically (e.g. graph-based planners, agent orchestration frameworks, workflow engines, or automated pipeline builders).
Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).
Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.
Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.
Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.
Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.
The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAt Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.\n\n\n\nOur researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - The System Self-Construction team builds systems that can build other systems. Researchers design architectures capable of autonomously generating, assembling, and refining sub-systems. This involves developing meta-learning loops, automated pipeline generation, and self-architecting frameworks that reduce the human bottleneck in complex system creation.\n\n - Researchers in Self-Construction study recursive design principles: how systems represent their own construction processes, evaluate them, and evolve. They draw from meta-learning, program synthesis, and evolutionary computation to explore what it means for a system to “understand” and redesign itself. Their work defines the frontier of self-referential, generative system architectures.\n \n \n\n\nWHO WE ARE\n\n - Experience Building Modular and Composable Systems: You’ve engineered architectures where components interact dynamically (e.g. graph-based planners, agent orchestration frameworks, workflow engines, or automated pipeline builders).\n\n - Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).\n\n - Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.\n\n - Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.\n\n - Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.\n\n - Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.\n \n \n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"9af1e81f-34be-47ac-80b9-051d80c040ce","title":"Applied AI Researcher, AI Systems","department":"Research","team":"Research","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2025-10-16T16:26:04.358+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/9af1e81f-34be-47ac-80b9-051d80c040ce","applyUrl":"https://jobs.ashbyhq.com/Distyl/9af1e81f-34be-47ac-80b9-051d80c040ce/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
At Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.
Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.
The AI Systems team focuses on designing compound, end-to-end architectures that orchestrate perception, reasoning, planning, and execution. Researchers integrate diverse components (LLMs, retrievers, evaluators, memory systems, and execution agents) into robust, scalable systems that perform reliably across dynamic enterprise workflows.
Researchers in AI Systems investigate the governing principles behind complex system interactions. They study coordination, information flow, and emergent behavior across multiple agents and models. Their work identifies the underlying mechanics of robustness, composability, and alignment, in effect establishing the design language for how intelligent systems should be built.
Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).
Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.
Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.
Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.
Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.
The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAt Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.\n\n\n\nOur researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - The AI Systems team focuses on designing compound, end-to-end architectures that orchestrate perception, reasoning, planning, and execution. Researchers integrate diverse components (LLMs, retrievers, evaluators, memory systems, and execution agents) into robust, scalable systems that perform reliably across dynamic enterprise workflows. \n\n - Researchers in AI Systems investigate the governing principles behind complex system interactions. They study coordination, information flow, and emergent behavior across multiple agents and models. Their work identifies the underlying mechanics of robustness, composability, and alignment, in effect establishing the design language for how intelligent systems should be built.\n \n \n\n\nWHO YOU ARE\n\n - Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).\n\n - Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.\n\n - Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.\n\n - Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.\n\n - Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.\n \n \n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"1a44c296-a732-4374-9f8c-a613b17ae37b","title":"Applied AI Researcher, Multi-Agent Systems","department":"Research","team":"Research","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2026-05-18T22:41:22.889+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/1a44c296-a732-4374-9f8c-a613b17ae37b","applyUrl":"https://jobs.ashbyhq.com/Distyl/1a44c296-a732-4374-9f8c-a613b17ae37b/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
At Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.
Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.
The Multi-Agent Systems team focuses on designing architectures in which multiple agents coordinate to solve problems that require structured interaction across multiple reasoning processes. Researchers build systems that structure communication, route information, and coordinate decision-making across agents operating with different views of the problem
Researchers in Multi-Agent Systems investigate the interaction patterns that govern how agents collaborate. They study how agents exchange information, critique and refine each other’s reasoning, and coordinate execution across complex workflows. Their work identifies the mechanics behind effective communication, delegation, and coordination, in effect establishing the design language for how systems of agents can operate as cohesive, high-performing teams, with capabilities that arise from interaction rather than individual performance.
Built or studied systems where multiple agents collaborate through structured communication, delegation, critique, or iterative coordination.
Experience with agent orchestration, communication protocols, evaluator agents, or systems where multiple agents interact to exchange information, critique reasoning, and coordinate decisions over time
Experience with research in related fields, such as multi-agent reinforcement learning (MARL), graph neural networks (GNNs), knowledge graphs, mixed-initiative planning, etc.
Excited about making foundational advancements in how agents coordinate, reason and collaborate
Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.
Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.
Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.
Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.
The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAt Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.\n\nOur researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.\n\n \n\n\nKEY RESPONSIBILITIES\n\n - The Multi-Agent Systems team focuses on designing architectures in which multiple agents coordinate to solve problems that require structured interaction across multiple reasoning processes. Researchers build systems that structure communication, route information, and coordinate decision-making across agents operating with different views of the problem\n\n - Researchers in Multi-Agent Systems investigate the interaction patterns that govern how agents collaborate. They study how agents exchange information, critique and refine each other’s reasoning, and coordinate execution across complex workflows. Their work identifies the mechanics behind effective communication, delegation, and coordination, in effect establishing the design language for how systems of agents can operate as cohesive, high-performing teams, with capabilities that arise from interaction rather than individual performance.\n\n \n\n\nWHAT WE REQUIRE\n\n - Built or studied systems where multiple agents collaborate through structured communication, delegation, critique, or iterative coordination.\n\n - Experience with agent orchestration, communication protocols, evaluator agents, or systems where multiple agents interact to exchange information, critique reasoning, and coordinate decisions over time\n\n - Experience with research in related fields, such as multi-agent reinforcement learning (MARL), graph neural networks (GNNs), knowledge graphs, mixed-initiative planning, etc.\n\n - Excited about making foundational advancements in how agents coordinate, reason and collaborate\n\n - Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.\n\n - Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.\n\n - Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.\n\n - Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.\n \n \n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"f94707a5-3563-49f4-8414-ec3bb8918d03","title":"Applied AI Researcher, System Self-Improvement","department":"Research","team":"Research","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2025-10-16T16:26:08.555+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/f94707a5-3563-49f4-8414-ec3bb8918d03","applyUrl":"https://jobs.ashbyhq.com/Distyl/f94707a5-3563-49f4-8414-ec3bb8918d03/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
At Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.
Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.
The System Self-Improvement team builds architectures that continuously evaluate and enhance their own performance. Researchers design feedback-driven systems capable of detecting weaknesses, generating corrective hypotheses, and implementing their own improvements through reflection, retraining, or workflow adaptation. The goal: build AI systems that compound in capability through use.
Researchers in Self-Improvement study how systems can form self-models—understanding when, why, and how they succeed or fail. They explore reflective reasoning, reward modeling, and self-evaluation techniques to enable autonomous evolution. This work bridges reinforcement learning, interpretability, and meta-optimization to pioneer continuously learning enterprise systems.
Experience Building Feedback-Driven Systems: You’ve built or studied systems that monitor, score, and adapt—evaluators, retrievers, iterative refinement loops, or performance dashboards that close the feedback loop.
Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).
Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.
Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.
Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.
Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.
The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAt Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.\n\n\n\nOur researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - The System Self-Improvement team builds architectures that continuously evaluate and enhance their own performance. Researchers design feedback-driven systems capable of detecting weaknesses, generating corrective hypotheses, and implementing their own improvements through reflection, retraining, or workflow adaptation. The goal: build AI systems that compound in capability through use.\n\n - Researchers in Self-Improvement study how systems can form self-models—understanding when, why, and how they succeed or fail. They explore reflective reasoning, reward modeling, and self-evaluation techniques to enable autonomous evolution. This work bridges reinforcement learning, interpretability, and meta-optimization to pioneer continuously learning enterprise systems.\n \n \n\n\nWHO YOU ARE\n\n - Experience Building Feedback-Driven Systems: You’ve built or studied systems that monitor, score, and adapt—evaluators, retrievers, iterative refinement loops, or performance dashboards that close the feedback loop.\n\n - Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).\n\n - Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.\n\n - Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.\n\n - Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.\n\n - Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.\n \n \n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"cf166cd0-c30f-41c8-8e43-fa38e323014d","title":"Applied AI Researcher, Benchmarking","department":"Research","team":"Research","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2025-10-16T16:25:57.149+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/cf166cd0-c30f-41c8-8e43-fa38e323014d","applyUrl":"https://jobs.ashbyhq.com/Distyl/cf166cd0-c30f-41c8-8e43-fa38e323014d/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
At Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.
Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.
The Benchmarking team defines how progress is measured. Researchers design evaluation frameworks that capture reasoning depth, interaction quality, reliability, and operational impact. They construct benchmarks that reflect real-world complexity. Their systems become the standard by which new architectures, techniques, and releases are judged.
Researchers in Benchmarking explore new paradigms for evaluating intelligent systems: adversarial robustness testing, longitudinal performance tracking, and human-in-the-loop assessment. They investigate how metrics shape model behavior and establish rigorous methodologies for quantifying emergent capability. Their insights drive both Distyl’s internal research priorities and industry-wide standards.
Experience Designing and Running Evaluations: You’ve built or maintained benchmarks, test suites, or experimental frameworks to measure model or system performance
Statistical and Analytical Rigor: You design fair, reproducible experiments and can extract signal from noisy empirical results
Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.)
Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done
Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow
Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI
Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize
The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAt Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.\n\n\n\nOur researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - The Benchmarking team defines how progress is measured. Researchers design evaluation frameworks that capture reasoning depth, interaction quality, reliability, and operational impact. They construct benchmarks that reflect real-world complexity. Their systems become the standard by which new architectures, techniques, and releases are judged.\n\n - Researchers in Benchmarking explore new paradigms for evaluating intelligent systems: adversarial robustness testing, longitudinal performance tracking, and human-in-the-loop assessment. They investigate how metrics shape model behavior and establish rigorous methodologies for quantifying emergent capability. Their insights drive both Distyl’s internal research priorities and industry-wide standards.\n \n \n\n\nWHO YOU ARE\n\n - Experience Designing and Running Evaluations: You’ve built or maintained benchmarks, test suites, or experimental frameworks to measure model or system performance\n\n - Statistical and Analytical Rigor: You design fair, reproducible experiments and can extract signal from noisy empirical results\n\n - Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.)\n\n - Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done\n\n - Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow\n\n - Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI\n\n - Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize\n \n \n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"96951117-efef-4f27-bbc4-671559d4af30","title":"Research Engineers, Post-Training","department":"Research","team":"Research","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2026-07-07T15:39:17.759+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/96951117-efef-4f27-bbc4-671559d4af30","applyUrl":"https://jobs.ashbyhq.com/Distyl/96951117-efef-4f27-bbc4-671559d4af30/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
At Distyl, Research Engineers build the bridge between frontier AI research and production systems that deliver real business value. This role is for engineers who are excited to investigate how AI systems should be designed, rapidly prototype new ideas, and turn promising concepts into reliable systems that work inside real customer environments.
Research Engineers operate at the intersection of applied research, systems engineering, and customer-facing deployment. They design and implement compound AI systems, run experiments to understand system behavior, build evaluation frameworks, and collaborate closely with AI Researchers, AI Engineers, and customer stakeholders. Their work is not limited to demos or isolated prototypes: they help turn new techniques into robust systems that can be measured, operated, and improved in production.
Design and run post-training workflows that improve the behavior, reliability, and usefulness of AI systems
Develop datasets, preference signals, evaluation suites, reward models, fine-tuning workflows, and feedback loops for applied AI use cases
Investigate how different post-training techniques affect system behavior across enterprise workflows and production constraints
Build infrastructure for experimentation, model comparison, regression testing, and behavior analysis
Partner with AI Researchers to explore new post-training methods and with AI Engineers to apply successful techniques in deployed systems
Analyze model outputs, failure modes, human feedback, and production traces to identify opportunities for behavioral improvement
Create repeatable processes for adapting AI systems to customer domains while preserving robustness, transparency, and maintainability
Communicate clearly with internal teams and customer stakeholders about model behavior, evaluation results, limitations, and tradeoffs
Experience Improving Model Behavior: You have worked with fine-tuning, preference optimization, reinforcement learning, reward modeling, synthetic data, evals, or related post-training techniques
Strong Programming and Experimentation Skills: You can build training and evaluation pipelines, run controlled experiments, analyze results, and iterate quickly
Research-Oriented Builder: You care about understanding why behavior changes, not just whether a benchmark improves
AI Systems Mindset: You understand that model behavior is shaped by data, prompts, tools, retrieval, evaluators, and deployment context—not model weights alone
AI-Native Working Style: You use AI tools daily to accelerate coding, analysis, debugging, experimentation, and research exploration
Bias Towards Measurement: You make behavioral improvements concrete through evaluations, comparisons, regression tests, and production-relevant metrics
Comfort with Applied Constraints: You can balance research ambition with practical constraints around cost, latency, reliability, data availability, and customer requirements
Ownership Mentality: You take responsibility for whether post-training work improves real system outcomes, not just offline scores
The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAt Distyl, Research Engineers build the bridge between frontier AI research and production systems that deliver real business value. This role is for engineers who are excited to investigate how AI systems should be designed, rapidly prototype new ideas, and turn promising concepts into reliable systems that work inside real customer environments.\n\n\n\nResearch Engineers operate at the intersection of applied research, systems engineering, and customer-facing deployment. They design and implement compound AI systems, run experiments to understand system behavior, build evaluation frameworks, and collaborate closely with AI Researchers, AI Engineers, and customer stakeholders. Their work is not limited to demos or isolated prototypes: they help turn new techniques into robust systems that can be measured, operated, and improved in production.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Design and run post-training workflows that improve the behavior, reliability, and usefulness of AI systems\n\n - Develop datasets, preference signals, evaluation suites, reward models, fine-tuning workflows, and feedback loops for applied AI use cases\n\n - Investigate how different post-training techniques affect system behavior across enterprise workflows and production constraints\n\n - Build infrastructure for experimentation, model comparison, regression testing, and behavior analysis\n\n - Partner with AI Researchers to explore new post-training methods and with AI Engineers to apply successful techniques in deployed systems\n\n - Analyze model outputs, failure modes, human feedback, and production traces to identify opportunities for behavioral improvement\n\n - Create repeatable processes for adapting AI systems to customer domains while preserving robustness, transparency, and maintainability\n\n - Communicate clearly with internal teams and customer stakeholders about model behavior, evaluation results, limitations, and tradeoffs\n\n\n\n\nWHO YOU ARE\n\n - Experience Improving Model Behavior: You have worked with fine-tuning, preference optimization, reinforcement learning, reward modeling, synthetic data, evals, or related post-training techniques\n\n - Strong Programming and Experimentation Skills: You can build training and evaluation pipelines, run controlled experiments, analyze results, and iterate quickly\n\n - Research-Oriented Builder: You care about understanding why behavior changes, not just whether a benchmark improves\n\n - AI Systems Mindset: You understand that model behavior is shaped by data, prompts, tools, retrieval, evaluators, and deployment context—not model weights alone\n\n - AI-Native Working Style: You use AI tools daily to accelerate coding, analysis, debugging, experimentation, and research exploration\n\n - Bias Towards Measurement: You make behavioral improvements concrete through evaluations, comparisons, regression tests, and production-relevant metrics\n\n - Comfort with Applied Constraints: You can balance research ambition with practical constraints around cost, latency, reliability, data availability, and customer requirements\n\n - Ownership Mentality: You take responsibility for whether post-training work improves real system outcomes, not just offline scores\n\n\n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"db39fc98-8bd3-4e63-80ce-fd5e1d244f74","title":"Enterprise AI Architect ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2026-09-15T22:57:25.132+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/db39fc98-8bd3-4e63-80ce-fd5e1d244f74","applyUrl":"https://jobs.ashbyhq.com/Distyl/db39fc98-8bd3-4e63-80ce-fd5e1d244f74/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
We are looking for a senior Enterprise AI Architect to serve as the long-term technical partner to some of Distyl’s most strategic Fortune 500 customers. You will operate more like a senior technical partner than a traditional pre-sales architect: build trust with C-suite and technical leaders, bring a strong point of view on where AI can create meaningful business value, shape the solution with the customer, and stay accountable for the technical relationship beyond signature.
This role sits in Engineering and works closely with Go-to-Market, Product, and Forward-Deployed Engineering. You will lead the technical arc of an account from early technology conversations and problem shaping through architecture, feasibility, and SOW; for qualified late-stage pursuits, you will partner with forward deployed engineers to drive implementation of solutions. After close, the Technical Delivery Lead owns day-to-day execution while you remain attached for architecture reviews, steering moments, difficult decisions, and expansion.
This is a senior individual-contributor role for someone who has built and delivered production systems, can hold a room with executives, and can translate between business ambition and engineering reality. Success means customers view you as a trusted technical advisor, GTM gets technically credible proposals, and delivery inherits scopes that survive contact with production.
Own the strategic technical relationship. Serve as the primary technical counterpart for strategic accounts, building trust with CIO/CTO-level leaders, enterprise architects, and business executives. Help customers identify where AI can materially change an operation, pattern-match from prior deployments, and shape an ambitious but deliverable technical vision.
Own architecture, feasibility, prototypes, and technical SOW quality. Lead joint solution architecture with customer teams, applying Distyl’s platform and technical primitives to real enterprise systems. Use prototypes and demos to validate key assumptions where needed, and own the technical content of the SOW, including integrations, data access, deployment model, dependencies, assumptions, and risks.
Qualify opportunities and shape technically credible solutions. Assess whether opportunities are well-suited for AI, evaluate data, systems, security, integration, and organizational constraints, and make the call on technical feasibility before Distyl commits to scope.
Turn customer patterns into reusable assets and product feedback. Translate recurring needs, architecture patterns, security constraints, and deployment learnings into reusable technical assets and concrete feedback that influences Distyl’s platform, product, and engineering roadmap.
Carry the technical thread from first conversation through successful delivery. Stay engaged through architecture reviews, executive steering, major tradeoffs, risk escalations, and expansion opportunities, while empowering the delivery lead to own execution.
Required
8+ years of relevant experience across engineering, enterprise architecture, forward-deployed engineering, solutions architecture, or similar roles, with substantial customer-facing responsibility.
Hands-on production delivery experience. You have designed, built, and shipped Enterprise-grade Agentic AI/ML systems and can reason credibly about implementation tradeoffs, reliability, integration, scale, security, and operating constraints.
Demonstrated ability to operate as a senior technical advisor to executives: you can build trust, develop a point of view, shape ambiguous problems, influence decisions, and handle high-stakes technical conversations without relying on a script.
Proven ownership of complex enterprise solution architecture and scope, including the ability to write technical SOW content and align customer teams, GTM, and delivery around what is actually buildable.
Ability to work effectively with FDE / Delivery / Product & Strategy teams — bringing them in at the right time, using their current implementation depth, and maintaining continuity.
Strong working knowledge of APIs, integrations, cloud and enterprise architecture, data flows, security considerations, and modern AI systems; coding fluency to prototype, inspect systems, and engage deeply with engineers.
Deep domain expertise in one or more enterprise areas such as customer support, voice, MarTech, Cybersecurity, IAM, or Document processing.
Able to travel 25% and meet onsite with customer teams; able to work from our New York or San Francisco office Tuesday–Thursday.
Preferred
Background in an FDE, engineering, or technical consulting organization where you owned both customer outcomes and technical decisions.
Experience in a partner-like role at a consulting firm, high-growth technology company, or enterprise software company with long, C-suite-led sales cycles.
Experience at an early-stage startup and comfort operating in ambiguous environments where the playbook is still being built.
The base salary range for this role is $200,000 - $275,000 depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in-office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nWe are looking for a senior Enterprise AI Architect to serve as the long-term technical partner to some of Distyl’s most strategic Fortune 500 customers. You will operate more like a senior technical partner than a traditional pre-sales architect: build trust with C-suite and technical leaders, bring a strong point of view on where AI can create meaningful business value, shape the solution with the customer, and stay accountable for the technical relationship beyond signature.\n\nThis role sits in Engineering and works closely with Go-to-Market, Product, and Forward-Deployed Engineering. You will lead the technical arc of an account from early technology conversations and problem shaping through architecture, feasibility, and SOW; for qualified late-stage pursuits, you will partner with forward deployed engineers to drive implementation of solutions. After close, the Technical Delivery Lead owns day-to-day execution while you remain attached for architecture reviews, steering moments, difficult decisions, and expansion.\n\nThis is a senior individual-contributor role for someone who has built and delivered production systems, can hold a room with executives, and can translate between business ambition and engineering reality. Success means customers view you as a trusted technical advisor, GTM gets technically credible proposals, and delivery inherits scopes that survive contact with production.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Own the strategic technical relationship. Serve as the primary technical counterpart for strategic accounts, building trust with CIO/CTO-level leaders, enterprise architects, and business executives. Help customers identify where AI can materially change an operation, pattern-match from prior deployments, and shape an ambitious but deliverable technical vision.\n\n - Own architecture, feasibility, prototypes, and technical SOW quality. Lead joint solution architecture with customer teams, applying Distyl’s platform and technical primitives to real enterprise systems. Use prototypes and demos to validate key assumptions where needed, and own the technical content of the SOW, including integrations, data access, deployment model, dependencies, assumptions, and risks.\n\n - Qualify opportunities and shape technically credible solutions. Assess whether opportunities are well-suited for AI, evaluate data, systems, security, integration, and organizational constraints, and make the call on technical feasibility before Distyl commits to scope.\n\n - Turn customer patterns into reusable assets and product feedback. Translate recurring needs, architecture patterns, security constraints, and deployment learnings into reusable technical assets and concrete feedback that influences Distyl’s platform, product, and engineering roadmap.\n\n - Carry the technical thread from first conversation through successful delivery. Stay engaged through architecture reviews, executive steering, major tradeoffs, risk escalations, and expansion opportunities, while empowering the delivery lead to own execution.\n\n\n\n\nWHO YOU ARE\n\nRequired\n\n - 8+ years of relevant experience across engineering, enterprise architecture, forward-deployed engineering, solutions architecture, or similar roles, with substantial customer-facing responsibility.\n\n - Hands-on production delivery experience. You have designed, built, and shipped Enterprise-grade Agentic AI/ML systems and can reason credibly about implementation tradeoffs, reliability, integration, scale, security, and operating constraints.\n\n - Demonstrated ability to operate as a senior technical advisor to executives: you can build trust, develop a point of view, shape ambiguous problems, influence decisions, and handle high-stakes technical conversations without relying on a script.\n\n - Proven ownership of complex enterprise solution architecture and scope, including the ability to write technical SOW content and align customer teams, GTM, and delivery around what is actually buildable.\n\n - Ability to work effectively with FDE / Delivery / Product & Strategy teams — bringing them in at the right time, using their current implementation depth, and maintaining continuity.\n\n - Strong working knowledge of APIs, integrations, cloud and enterprise architecture, data flows, security considerations, and modern AI systems; coding fluency to prototype, inspect systems, and engage deeply with engineers.\n\n - Deep domain expertise in one or more enterprise areas such as customer support, voice, MarTech, Cybersecurity, IAM, or Document processing.\n\n - Able to travel 25% and meet onsite with customer teams; able to work from our New York or San Francisco office Tuesday–Thursday.\n\n\n\nPreferred\n\n - Background in an FDE, engineering, or technical consulting organization where you owned both customer outcomes and technical decisions.\n\n - Experience in a partner-like role at a consulting firm, high-growth technology company, or enterprise software company with long, C-suite-led sales cycles.\n\n - Experience at an early-stage startup and comfort operating in ambiguous environments where the playbook is still being built.\n\n\n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $200,000 - $275,000 depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\n\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in-office.\n\n\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"0b73232e-313e-497b-82a2-76cd1f8b57d8","title":"People Operations & Recruiting Coordinator ","department":"People","team":"People","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-10-15T17:26:53.176+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/0b73232e-313e-497b-82a2-76cd1f8b57d8","applyUrl":"https://jobs.ashbyhq.com/Distyl/0b73232e-313e-497b-82a2-76cd1f8b57d8/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
As we scale, we need someone who can keep both our hiring engine and our employee experience running smoothly. This is a hybrid role: roughly half recruiting coordination and half People Operations. You will own interview logistics and the candidate experience on one side, and onboarding, benefits coordination, and core HR administration on the other.
You will be the connective tissue between candidates, new hires, and the teams they join. You will partner closely with recruiters, hiring managers, and the People team, and you will keep finding ways to make our processes faster and better using AI tools. This is an ideal first or second step into a generalist People career for someone who wants real ownership and exposure to both talent and people operations at a fast-growing company.
Recruiting Coordination (~50%)
Own interview scheduling and logistics across multiple concurrent searches, spanning technical and non-technical roles
Act as the primary point of contact for candidates, communicating with a warm, informative tone that makes every touchpoint feel considered
Coordinate availability across candidates, interviewers, hiring managers, and leadership, including onsite and virtual interviews, panel prep, and debrief scheduling
Proactively flag scheduling conflicts and pipeline bottlenecks before they become delays
Maintain accurate candidate data and pipeline hygiene in Ashby
Support offer logistics and hand off new hires to People Ops
People Operations (~50%)
Own end-to-end onboarding for new hires, including pre-employment background checks, new hire paperwork, I-9 verification, travel arrangements, and any other pre-boarding coordination
Coordinate benefits administration, including new hire enrollment, answering employee benefits questions, and working with brokers and vendors
Support core HR operations such as maintaining employee records and HRIS data accuracy
Help prepare employment documentation, such as employment verifications, and status changes, etc in partnership with the People team
Support employee lifecycle processes including role changes, leaves, and offboarding logistics
Provide support and contribute to People programs and events such as team onsites, engagement efforts, and new hire welcomes
Across Both Areas
Identify opportunities to use AI tools to streamline scheduling, communication, onboarding, and reporting, and help build and implement those improvements
Suggest and drive improvements to our recruiting and People processes, especially in ambiguous or undefined situations
Handle confidential candidate and employee information with care and good judgment
Experience in Recruiting or People Ops: 1 - 3 years of experience as a Recruiting Coordinator, People Operations Coordinator, HR Coordinator, or in a similar role, ideally at a startup or tech company. Strong internship experience combined with exceptional ownership will also be considered
Organized and Detail-Oriented: Manage many moving pieces, from interview loops to new hire checklists, without dropping details
Candidate and Employee-First Mentality: Treat every interaction, whether with a candidate or a brand-new hire, as a chance to make someone feel supported
Strong Written and Verbal Communication: Write clear, friendly emails that build rapport and keep every stakeholder informed
Trustworthy with Sensitive Information: Understand the importance of confidentiality and use sound judgment when handling personal and employment data
AI-Native Working Style: Use AI tools regularly to streamline your work, and you are excited to find new ways to apply them
Bias Towards Process Improvement: Notice where a workflow is inefficient and take the initiative to fix it, rather than just working around it
Comfort with Ambiguity: Work across two functions and many stakeholders at once, even when the process isn’t fully defined yet
Nice to have: Experience with Ashby or a similar ATS, and Rippling or a similar HRIS and benefits platforms, and exposure to US employment basics (onboarding compliance, benefits enrollment cycles)
The base salary range for this role is $80,000-$100,000, depending on experience and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday to Thursday) in the San Francisco office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAs we scale, we need someone who can keep both our hiring engine and our employee experience running smoothly. This is a hybrid role: roughly half recruiting coordination and half People Operations. You will own interview logistics and the candidate experience on one side, and onboarding, benefits coordination, and core HR administration on the other.\n\n\n\nYou will be the connective tissue between candidates, new hires, and the teams they join. You will partner closely with recruiters, hiring managers, and the People team, and you will keep finding ways to make our processes faster and better using AI tools. This is an ideal first or second step into a generalist People career for someone who wants real ownership and exposure to both talent and people operations at a fast-growing company.\n\n\n\n\nKEY RESPONSIBILITIES\n\nRecruiting Coordination (~50%)\n\n - Own interview scheduling and logistics across multiple concurrent searches, spanning technical and non-technical roles\n\n - Act as the primary point of contact for candidates, communicating with a warm, informative tone that makes every touchpoint feel considered\n\n - Coordinate availability across candidates, interviewers, hiring managers, and leadership, including onsite and virtual interviews, panel prep, and debrief scheduling\n\n - Proactively flag scheduling conflicts and pipeline bottlenecks before they become delays\n\n - Maintain accurate candidate data and pipeline hygiene in Ashby\n\n - Support offer logistics and hand off new hires to People Ops\n\nPeople Operations (~50%)\n\n - Own end-to-end onboarding for new hires, including pre-employment background checks, new hire paperwork, I-9 verification, travel arrangements, and any other pre-boarding coordination\n\n - Coordinate benefits administration, including new hire enrollment, answering employee benefits questions, and working with brokers and vendors\n\n - Support core HR operations such as maintaining employee records and HRIS data accuracy\n\n - Help prepare employment documentation, such as employment verifications, and status changes, etc in partnership with the People team\n\n - Support employee lifecycle processes including role changes, leaves, and offboarding logistics\n\n - Provide support and contribute to People programs and events such as team onsites, engagement efforts, and new hire welcomes\n\nAcross Both Areas\n\n - Identify opportunities to use AI tools to streamline scheduling, communication, onboarding, and reporting, and help build and implement those improvements\n\n - Suggest and drive improvements to our recruiting and People processes, especially in ambiguous or undefined situations\n\n - Handle confidential candidate and employee information with care and good judgment\n\n\n\n\nWHO YOU ARE\n\n - Experience in Recruiting or People Ops: 1 - 3 years of experience as a Recruiting Coordinator, People Operations Coordinator, HR Coordinator, or in a similar role, ideally at a startup or tech company. Strong internship experience combined with exceptional ownership will also be considered\n\n - Organized and Detail-Oriented: Manage many moving pieces, from interview loops to new hire checklists, without dropping details\n\n - Candidate and Employee-First Mentality: Treat every interaction, whether with a candidate or a brand-new hire, as a chance to make someone feel supported\n\n - Strong Written and Verbal Communication: Write clear, friendly emails that build rapport and keep every stakeholder informed\n\n - Trustworthy with Sensitive Information: Understand the importance of confidentiality and use sound judgment when handling personal and employment data\n\n - AI-Native Working Style: Use AI tools regularly to streamline your work, and you are excited to find new ways to apply them\n\n - Bias Towards Process Improvement: Notice where a workflow is inefficient and take the initiative to fix it, rather than just working around it\n\n - Comfort with Ambiguity: Work across two functions and many stakeholders at once, even when the process isn’t fully defined yet\n\n - Nice to have: Experience with Ashby or a similar ATS, and Rippling or a similar HRIS and benefits platforms, and exposure to US employment basics (onboarding compliance, benefits enrollment cycles)\n \n \n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $80,000-$100,000, depending on experience and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday to Thursday) in the San Francisco office.\n\n\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"276721f0-332e-4017-8298-9cd07b1de4d1","title":"Infrastructure Engineer, Customer Delivery","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2026-10-13T23:15:31.173+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/276721f0-332e-4017-8298-9cd07b1de4d1","applyUrl":"https://jobs.ashbyhq.com/Distyl/276721f0-332e-4017-8298-9cd07b1de4d1/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
We're hiring a hands-on Infrastructure Engineer to lead cloud architecture and delivery of Distyl's AI platform across Distyl-hosted, customer VPC, and on-premises environments. You'll partner with customers, platform engineering, and forward-deployed AI engineers from discovery through production. Scope will reflect your experience, from leading complex deployments to setting technical direction across teams.
You'll translate complex customer architectures and requests into working infrastructure, building reusable patterns and automation that make each launch easier.
You'll own customer deployments end to end and help shape a growing delivery team's practices. Success means faster launches, reliable operations, and less repeated work as deployments scale.
Architecture ownership. Own portable reference architectures across Distyl-hosted, customer VPC, and on-premises deployments, with clear control-plane/data-plane boundaries. Distinguish necessary customer adaptations from avoidable variation across AWS, Azure, and GCP. Integrate identity, networks, data, and model providers with appropriate access, routing, and audit controls
Platform and on-premises delivery. Work with forward-deployed AI engineers to deploy and upgrade Distyl's platform using infrastructure as code, Docker, Kubernetes, and shared CI/CD tooling. Support private registries, restricted egress, offline installs/upgrades, and alternatives to cloud-managed dependencies. Validate compatibility and recovery within customer change controls
Automation mindset. Turn recurring delivery friction into shared automation. Build provisioning services, controllers, and reusable deployment APIs in Python or Go to make future deployments faster and more reliable
Customer relationships and communication. Build trust, clarify requests, explain tradeoffs, and own commitments through production acceptance. Keep customers and developers aligned on readiness, upcoming changes, dependencies, and blockers; escalate risks early
Production security and reliability. Implement network segmentation, data-residency controls, and audit trails with security and infrastructure partners. Establish SLOs, observability, actionable alerts, and tested disaster recovery. Own infrastructure incident resolution in assigned environments, coordinating with relevant engineering owners. Use incident and deployment data to improve reliability, runbooks, and support handoffs
Hosted infrastructure. Build and operate tenant isolation, provisioning, quotas, autoscaling, metering, and cost attribution for Distyl-hosted deployments, in partnership with platform engineering
AI runtime infrastructure. Partner with Runtime on agent sandboxing, workload identity, scoped credentials, network controls, and resource limits across supported deployments
AI-assisted engineering. Build agent-assisted workflows for environment checks, troubleshooting, and infrastructure changes. Scope access, verify outputs, and measure improvements in delivery effort and reliability
Technical leadership. Set delivery standards, mentor engineers, and help build the delivery team's technical practices. Partner with forward-deployed AI and platform engineers to unblock delivery and turn customer lessons into product improvements
7+ years of experience in infrastructure engineering, cloud engineering, SRE, or related technical delivery roles
Deep production experience in AWS, Azure, or GCP, plus working experience in a second cloud
Customer-facing engineering experience with direct responsibility for technical delivery and stakeholder communication. You build trust, clarify requirements, negotiate scope, and keep stakeholders aligned
Hands-on experience with networking, IAM, Docker, Kubernetes, and observability, including workload identity, scoped credentials, and resource limits
Proven experience writing and maintaining production infrastructure as code
Strong production Python or Go experience building reusable infrastructure software, such as provisioning services, controllers, or deployment APIs
Experience operating hosted infrastructure with tenant isolation, provisioning, capacity controls, and usage/cost visibility
Experience turning customer requirements into production architectures, with clear control-plane/data-plane boundaries, CI/CD, and identity, network, and data integrations
Experience delivering under strict access, network, security, and change controls, including private registries or restricted egress
Experience implementing network segmentation, data-residency controls, audit trails, SLOs, disaster recovery, and incident response
Strong troubleshooting and automation skills. You balance speed with reliability, handle upgrades and stateful changes carefully, and verify AI-assisted work
Technical leadership. You lead complex deployments independently. Experience setting technical direction and leading adoption of reusable systems and standards across teams is especially valued
Strongly preferred: Building or scaling infrastructure delivery and operations across enterprise customer environments, including production deployments across multiple clouds
Preferred: On-premises installs/upgrades, offline operation, or replacing cloud-managed dependencies
Preferred: Agent sandboxing or technical AI governance, including model access, routing, data-handling, and audit controls
The base salary range for this role is $200,000-$250,000, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nWe're hiring a hands-on Infrastructure Engineer to lead cloud architecture and delivery of Distyl's AI platform across Distyl-hosted, customer VPC, and on-premises environments. You'll partner with customers, platform engineering, and forward-deployed AI engineers from discovery through production. Scope will reflect your experience, from leading complex deployments to setting technical direction across teams.\n\n\n\nYou'll translate complex customer architectures and requests into working infrastructure, building reusable patterns and automation that make each launch easier.\n\n\n\nYou'll own customer deployments end to end and help shape a growing delivery team's practices. Success means faster launches, reliable operations, and less repeated work as deployments scale.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Architecture ownership. Own portable reference architectures across Distyl-hosted, customer VPC, and on-premises deployments, with clear control-plane/data-plane boundaries. Distinguish necessary customer adaptations from avoidable variation across AWS, Azure, and GCP. Integrate identity, networks, data, and model providers with appropriate access, routing, and audit controls\n\n - Platform and on-premises delivery. Work with forward-deployed AI engineers to deploy and upgrade Distyl's platform using infrastructure as code, Docker, Kubernetes, and shared CI/CD tooling. Support private registries, restricted egress, offline installs/upgrades, and alternatives to cloud-managed dependencies. Validate compatibility and recovery within customer change controls\n\n - Automation mindset. Turn recurring delivery friction into shared automation. Build provisioning services, controllers, and reusable deployment APIs in Python or Go to make future deployments faster and more reliable\n\n - Customer relationships and communication. Build trust, clarify requests, explain tradeoffs, and own commitments through production acceptance. Keep customers and developers aligned on readiness, upcoming changes, dependencies, and blockers; escalate risks early\n\n - Production security and reliability. Implement network segmentation, data-residency controls, and audit trails with security and infrastructure partners. Establish SLOs, observability, actionable alerts, and tested disaster recovery. Own infrastructure incident resolution in assigned environments, coordinating with relevant engineering owners. Use incident and deployment data to improve reliability, runbooks, and support handoffs\n\n - Hosted infrastructure. Build and operate tenant isolation, provisioning, quotas, autoscaling, metering, and cost attribution for Distyl-hosted deployments, in partnership with platform engineering\n\n - AI runtime infrastructure. Partner with Runtime on agent sandboxing, workload identity, scoped credentials, network controls, and resource limits across supported deployments\n\n - AI-assisted engineering. Build agent-assisted workflows for environment checks, troubleshooting, and infrastructure changes. Scope access, verify outputs, and measure improvements in delivery effort and reliability\n\n - Technical leadership. Set delivery standards, mentor engineers, and help build the delivery team's technical practices. Partner with forward-deployed AI and platform engineers to unblock delivery and turn customer lessons into product improvements\n \n \n\n\nWHO YOU ARE\n\n - 7+ years of experience in infrastructure engineering, cloud engineering, SRE, or related technical delivery roles\n\n - Deep production experience in AWS, Azure, or GCP, plus working experience in a second cloud\n\n - Customer-facing engineering experience with direct responsibility for technical delivery and stakeholder communication. You build trust, clarify requirements, negotiate scope, and keep stakeholders aligned\n\n - Hands-on experience with networking, IAM, Docker, Kubernetes, and observability, including workload identity, scoped credentials, and resource limits\n\n - Proven experience writing and maintaining production infrastructure as code\n\n - Strong production Python or Go experience building reusable infrastructure software, such as provisioning services, controllers, or deployment APIs\n\n - Experience operating hosted infrastructure with tenant isolation, provisioning, capacity controls, and usage/cost visibility\n\n - Experience turning customer requirements into production architectures, with clear control-plane/data-plane boundaries, CI/CD, and identity, network, and data integrations\n\n - Experience delivering under strict access, network, security, and change controls, including private registries or restricted egress\n\n - Experience implementing network segmentation, data-residency controls, audit trails, SLOs, disaster recovery, and incident response\n\n - Strong troubleshooting and automation skills. You balance speed with reliability, handle upgrades and stateful changes carefully, and verify AI-assisted work\n\n - Technical leadership. You lead complex deployments independently. Experience setting technical direction and leading adoption of reusable systems and standards across teams is especially valued\n\n - Strongly preferred: Building or scaling infrastructure delivery and operations across enterprise customer environments, including production deployments across multiple clouds\n\n - Preferred: On-premises installs/upgrades, offline operation, or replacing cloud-managed dependencies\n\n - Preferred: Agent sandboxing or technical AI governance, including model access, routing, data-handling, and audit controls\n\n\n\n\nWHAT WE OFFER \n\n - The base salary range for this role is $200,000-$250,000, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"6b13df85-e705-4a69-9340-0e83c54e78c5","title":"Infrastructure Engineer, Agentic DevSecOps","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2026-10-13T23:19:53.802+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/6b13df85-e705-4a69-9340-0e83c54e78c5","applyUrl":"https://jobs.ashbyhq.com/Distyl/6b13df85-e705-4a69-9340-0e83c54e78c5/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
We're hiring a Infrastructure Engineer to own how Distyl engineers build, test, secure, and release software. Our independently versioned services span multiple repositories and deploy into customer environments across AWS, Azure, and GCP, with different security, connectivity, and upgrade constraints.
This is a hands-on role with scope matched to your experience, from owning complex delivery systems to setting technical direction across teams. You'll build shared delivery systems and coding-agent workflows that make releases reliable, failures actionable, and engineers more productive. Your systems will shape how every Distyl engineer ships.
Technical ownership. Set direction and priorities for build, test, release, and coding-agent infrastructure. Choose tools and standards with engineering partners, and own implementation, adoption, and operation across teams
Build systems and repository standards. Standardize repository conventions and reusable build/test workflows. Make builds reproducible and efficient through explicit dependencies, consistent tooling, and effective caching
Release engineering. Build once and promote versioned bundles of immutable artifacts through release stages, with source traceability and test and security gates. Partner with Platform, Runtime, and Customer Delivery on integration and compatibility testing, configuration and schema changes, and recovery. Support customer-registry distribution and offline packaging where required
Agent-enabled engineering. Equip engineers with reusable coding-agent tools to diagnose failures, propose fixes, and handle routine work. Include tests, scoped permissions, failure handling, and independent output validation; measure quality and time saved
Software supply-chain security. Implement artifact signing and provenance, software bills of materials (SBOMs), isolated build runners, scoped CI credentials, and vulnerability gates. Integrate dependency and container remediation into engineering workflows
Developer experience. Understand engineers' workflows and remove friction with self-service tools, documentation, and diagnostics that distinguish code failures from tooling issues. Use developer feedback to guide incremental migrations, earn adoption, and reduce manual work
Engineering productivity and alerting. Track build/test latency, pipeline reliability, flaky-test rates, release lead time, and tooling adoption. Use these signals and developer feedback to reduce flaky tests and bottlenecks. Set service-level objectives and route actionable alerts to owners
10+ years of experience in software engineering, developer productivity, SRE, or related infrastructure engineering roles
Experience enabling engineers to use coding agents through reusable tools, workflows, and guidance, with independent validation and scoped access
Experience owning production build, test, and release infrastructure across services and teams, including versioned release bundles and compatibility testing
Hands-on experience with build systems, dependency management, reproducibility, performance diagnosis, and caching
Strong Python skills for building and debugging backend services and maintainable automation. Comfortable navigating unfamiliar code, including JavaScript frontends
Strong Linux fundamentals and experience building and maintaining secure container images. Working knowledge of Kubernetes, GitOps, infrastructure as code, and cloud deployment
Hands-on experience implementing software supply-chain controls. Demonstrated security judgment across permissions, credentials, dependencies, artifacts, and remediation
Experience building developer platforms, automated remediation, or reusable agent tooling adopted by other engineers
A record of improving build/test performance, release reliability, and tooling adoption using metrics and developer feedback
Experience independently leading complex projects and migrations. A record of setting technical direction and driving adoption across teams is especially valued. You defend technical choices with evidence and adapt to changing constraints
Preferred: Building and operating testing infrastructure in a microservices environment
Preferred: Distributing release artifacts to customer registries or restricted environments, including offline packaging
The base salary range for this role is $200,000-$250,000, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible time off
Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
Complimentary in-office lunches and snacks provided
Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
Ownership of high-impact projects across top enterprises
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nWe're hiring a Infrastructure Engineer to own how Distyl engineers build, test, secure, and release software. Our independently versioned services span multiple repositories and deploy into customer environments across AWS, Azure, and GCP, with different security, connectivity, and upgrade constraints.\n\n\n\nThis is a hands-on role with scope matched to your experience, from owning complex delivery systems to setting technical direction across teams. You'll build shared delivery systems and coding-agent workflows that make releases reliable, failures actionable, and engineers more productive. Your systems will shape how every Distyl engineer ships.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Technical ownership. Set direction and priorities for build, test, release, and coding-agent infrastructure. Choose tools and standards with engineering partners, and own implementation, adoption, and operation across teams\n\n - Build systems and repository standards. Standardize repository conventions and reusable build/test workflows. Make builds reproducible and efficient through explicit dependencies, consistent tooling, and effective caching\n\n - Release engineering. Build once and promote versioned bundles of immutable artifacts through release stages, with source traceability and test and security gates. Partner with Platform, Runtime, and Customer Delivery on integration and compatibility testing, configuration and schema changes, and recovery. Support customer-registry distribution and offline packaging where required\n\n - Agent-enabled engineering. Equip engineers with reusable coding-agent tools to diagnose failures, propose fixes, and handle routine work. Include tests, scoped permissions, failure handling, and independent output validation; measure quality and time saved\n\n - Software supply-chain security. Implement artifact signing and provenance, software bills of materials (SBOMs), isolated build runners, scoped CI credentials, and vulnerability gates. Integrate dependency and container remediation into engineering workflows\n\n - Developer experience. Understand engineers' workflows and remove friction with self-service tools, documentation, and diagnostics that distinguish code failures from tooling issues. Use developer feedback to guide incremental migrations, earn adoption, and reduce manual work\n\n - Engineering productivity and alerting. Track build/test latency, pipeline reliability, flaky-test rates, release lead time, and tooling adoption. Use these signals and developer feedback to reduce flaky tests and bottlenecks. Set service-level objectives and route actionable alerts to owners\n \n \n\n\nWHO YOU ARE\n\n - 10+ years of experience in software engineering, developer productivity, SRE, or related infrastructure engineering roles\n\n - Experience enabling engineers to use coding agents through reusable tools, workflows, and guidance, with independent validation and scoped access\n\n - Experience owning production build, test, and release infrastructure across services and teams, including versioned release bundles and compatibility testing\n\n - Hands-on experience with build systems, dependency management, reproducibility, performance diagnosis, and caching\n\n - Strong Python skills for building and debugging backend services and maintainable automation. Comfortable navigating unfamiliar code, including JavaScript frontends\n\n - Strong Linux fundamentals and experience building and maintaining secure container images. Working knowledge of Kubernetes, GitOps, infrastructure as code, and cloud deployment\n\n - Hands-on experience implementing software supply-chain controls. Demonstrated security judgment across permissions, credentials, dependencies, artifacts, and remediation\n\n - Experience building developer platforms, automated remediation, or reusable agent tooling adopted by other engineers\n\n - A record of improving build/test performance, release reliability, and tooling adoption using metrics and developer feedback\n\n - Experience independently leading complex projects and migrations. A record of setting technical direction and driving adoption across teams is especially valued. You defend technical choices with evidence and adapt to changing constraints\n\n - Preferred: Building and operating testing infrastructure in a microservices environment\n\n - Preferred: Distributing release artifacts to customer registries or restricted environments, including offline packaging\n\n\n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $200,000-$250,000, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible time off\n\n - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources\n\n - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot\n\n - Complimentary in-office lunches and snacks provided\n\n - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems\n\n - Ownership of high-impact projects across top enterprises\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."},{"id":"6cb0ec0c-802a-475e-b0d2-ad334772d7b8","title":"Talent Scout","department":"People","team":"People","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"USA","addressLocality":"New York"}}}],"publishedAt":"2026-10-30T05:18:25.532+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Distyl/6cb0ec0c-802a-475e-b0d2-ad334772d7b8","applyUrl":"https://jobs.ashbyhq.com/Distyl/6cb0ec0c-802a-475e-b0d2-ad334772d7b8/application","descriptionHtml":"Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
The exceptional people we assemble are the source of Distyl's competitive advantage. The quality of our work is set by who we find before anyone else does.
Most companies run recruiting as a process that fills seats. We want a hunter: someone who would rather spend a month landing one exceptional person than a week closing three adequate ones.
This is a scouting role - you develop an independent view of exceptional talent and persuade others through evidence. You will work with the founders and executive-team, own the front of the funnel, and partner with the Recruiting team on sourcing, process and closing.
This role is not for you if:
You consider a search done once the seat is filled.
Your first instinct when a role opens is to post it and wait.
You know only one way to open a door.
You want to run scouting from a desk alone. This role lives in conversations.
Judgement: Form an independent view of exceptional talent before the credentials make it obvious. Back your judgment with evidence, track your accuracy, and learn when you're wrong.
Build the Talent Map: Know the best people in our target markets, where they are, and what would move them. Most will not be looking.
Pursue the Unreachable: When a hiring manager says the profile does not exist, you find three.
Run Scouting Like a Business: Prioritized markets, a pipeline, a cadence, and conversion you understand at every stage.
Own the Outcome: You are measured on the quality of who we land, judged a year in. The funnel numbers are how you get there.
Recruiting experience is optional. Exceptional talent judgment is not. You need a track record of deal-making and running a funnel with outsized success: a super-connector, a headhunter, a sports scout , a founder who hired the first twenty, or a background we have not thought of.
Outsized Results in a Funnel You Owned: Pipeline from nothing, conversion well above peers. Bring the numbers.
Judgment: You recognize exceptional people others overlook. You've been right when others weren't, and can explain both your best calls and your mistakes.
Persistent Without Ego: You find a sixth way through a closed door, know when to change your mind, and earn the respect of people you don't land.
Demonstrated Excellence Before This: Academic, commercial, entrepreneurial, competitive, or otherwise.
Travel: 20%.
Within 6 months: a map of exceptional people in our priority markets, a pipeline of people who weren't looking, and hires conventional recruiting would have missed. You have a clear record of your scouting convictions, the evidence behind them, and what you've learned from the outcomes.
Competitive base salary, plus meaningful equity and a comprehensive benefits package
The opportunity to build a new, strategically critical function with direct access to Distyl's founders
100% coverage of medical, dental, and vision insurance for employee and dependents; flexible time off; 401(k), HSA, FSA, and commuter accounts; wellness and family-building benefits through Carrot; in-office lunches
A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in-office.
We're grateful for the strong interest in this role. The best way to get your profile in front of our team is to apply directly through our careers page, where all applications are reviewed. We will be in touch with every applicant once we've completed our review, regardless of the decision.
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
","descriptionPlain":"ABOUT DISTYL AI \n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nThe exceptional people we assemble are the source of Distyl's competitive advantage. The quality of our work is set by who we find before anyone else does.\n\nMost companies run recruiting as a process that fills seats. We want a hunter: someone who would rather spend a month landing one exceptional person than a week closing three adequate ones.\n\nThis is a scouting role - you develop an independent view of exceptional talent and persuade others through evidence. You will work with the founders and executive-team, own the front of the funnel, and partner with the Recruiting team on sourcing, process and closing. \n\nThis role is not for you if:\n\n - You consider a search done once the seat is filled.\n\n - Your first instinct when a role opens is to post it and wait.\n\n - You know only one way to open a door.\n\n - You want to run scouting from a desk alone. This role lives in conversations.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Judgement: Form an independent view of exceptional talent before the credentials make it obvious. Back your judgment with evidence, track your accuracy, and learn when you're wrong.\n\n - Build the Talent Map: Know the best people in our target markets, where they are, and what would move them. Most will not be looking.\n\n - Pursue the Unreachable: When a hiring manager says the profile does not exist, you find three.\n\n - Run Scouting Like a Business: Prioritized markets, a pipeline, a cadence, and conversion you understand at every stage.\n\n - Own the Outcome: You are measured on the quality of who we land, judged a year in. The funnel numbers are how you get there.\n\n\n\n\nWHO YOU ARE\n\nRecruiting experience is optional. Exceptional talent judgment is not. You need a track record of deal-making and running a funnel with outsized success: a super-connector, a headhunter, a sports scout , a founder who hired the first twenty, or a background we have not thought of.\n\n - Outsized Results in a Funnel You Owned: Pipeline from nothing, conversion well above peers. Bring the numbers.\n\n - Judgment: You recognize exceptional people others overlook. You've been right when others weren't, and can explain both your best calls and your mistakes.\n\n - Persistent Without Ego: You find a sixth way through a closed door, know when to change your mind, and earn the respect of people you don't land.\n\n - Demonstrated Excellence Before This: Academic, commercial, entrepreneurial, competitive, or otherwise.\n\n - Travel: 20%.\n\n\n\n\nWHAT SUCCESS LOOKS LIKE\n\nWithin 6 months: a map of exceptional people in our priority markets, a pipeline of people who weren't looking, and hires conventional recruiting would have missed. You have a clear record of your scouting convictions, the evidence behind them, and what you've learned from the outcomes.\n\n \n\n\nWHAT WE OFFER\n\n - Competitive base salary, plus meaningful equity and a comprehensive benefits package\n\n - The opportunity to build a new, strategically critical function with direct access to Distyl's founders\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents; flexible time off; 401(k), HSA, FSA, and commuter accounts; wellness and family-building benefits through Carrot; in-office lunches\n\n - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in-office.\n\nWe're grateful for the strong interest in this role. The best way to get your profile in front of our team is to apply directly through our careers page, where all applications are reviewed. We will be in touch with every applicant once we've completed our review, regardless of the decision.\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply."}],"apiVersion":"1"}