Distyl's Posts (216)

Applied AI Researcher, Benchmarking

Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000. In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale. Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations. What We Are Looking For 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. Key Responsibilities 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. What We Require 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. What We Offer An opportunity to advance the cutting edge of LLM research and directly revolutionize work in the enterprise space. Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions. Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries. Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office. Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity. A collaborative and intellectually stimulating environment that encourages innovation and personal growth. If you are an innovative, ambitious, and driven individual looking to make a difference in the world of AI, we want to hear from you. Apply now to join our team as an Applied AI Researcher and help us shape the future of AI-driven solutions for enterprises across the globe. Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC

Location: San Francisco

Salary range: None - None

Applied AI Researcher, AI Systems

Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000. In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale. Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations. What We Are Looking For 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. Key Responsibilities 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. What We Require 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. What We Offer An opportunity to advance the cutting edge of LLM research and directly revolutionize work in the enterprise space. Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions. Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries. Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office. Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity. A collaborative and intellectually stimulating environment that encourages innovation and personal growth. If you are an innovative, ambitious, and driven individual looking to make a difference in the world of AI, we want to hear from you. Apply now to join our team as an Applied AI Researcher and help us shape the future of AI-driven solutions for enterprises across the globe. Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC

Location: San Francisco

Salary range: None - None

AI Strategist (Lead Level)

What We Are Looking For As an AI Strategist Lead, you will lead Distyl’s most complex, high impact customer engagement end-to-end. Partnering a senior technical leader, you’ll oversee a multidisciplinary team of engineers, researchers, and AI Strategists to deliver enterprise-scale outcomes that fundamentally transform how our customers operate You’ll work directly with C-suite and senior executives at Fortune 500 companies, helping them scope and shape AI -native strategies, and drive adoption of new workflows. You will be accountable not just for delivery, but for measurable business impact, long-term value creation, and building trusted executive relationships. You’ll shape the vision, drive execution, and influence our product roadmap by representing the voice of our most strategic customers. This role is ideal for someone with a rare blend of operational rigor, customer obsession, and strategic clarity - who thrives in ambiguity, leads with influence, and is passionate about AI. Key Responsibilities Executive Engagement: Build trust with senior stakeholders, including C-suite and VP-level sponsors. Align on business priorities and act as a strategic thought partner. End-to-End Ownership: Lead customer engagements from initial scoping to sustained value delivery. Define success, design the roadmap, and measurable outcomes. AI Strategy & Value Discovery: Identify the most valuable problems to solve and aligning solutions to ROI. Team Leadership: Jointly lead teams of 10+ engineers, researchers, AI Strategists and program managers. Set clear goals, foster a high-performing team culture, and manage cross-functional execution. Enterprise-Grade Delivery: Ensure technical solutions meet performance, compliance, and scalability standards. Navigate complex enterprise environments and drive cross-functional dependencies to deliver deeply integrated solutions. Change Management & Adoption: Drive onboarding, user adoption, and change management to ensure systems are embedded into daily workflows. Platform Influence: Represent the customer’s voice to the Platform team. Surface insights and themes that inform platform development. What We Require Enterprise-Scale Delivery Experience: A track record of successfully leading large, complex high-budget customer engagements or transformation programs ($10M+) ideally involving AI. Most successful candidates will have at least 10 years of experience working with enterprise customers. People Leadership: Track record of leading cross-functional teams and mentoring others. You foster clarity, motivation, and accountability at scale. Enterprise Scale Delivery: Demonstrated experience delivering mission-critical solutions for organizations with significant scale, complexity, and regulatory considerations. Executive Communication: Comfortable presenting to C-level stakeholders and translating between technical and non-technical audiences. Strategic Leadership: Ability to frame high-level business challenges, guide strategic decision-making, and influence senior executives. Customer-Centric Mindset: Deep empathy for users and the ability to identify solutions that create tangible, lasting business impact.. Technical Acumen: Proficiency in programming or data analysis tools (e.g., Python, R, SQL) and a solid understanding of AI/ML concepts. Passion for AI: You believe in AI’s transformative potential and want to help shape how it’s applied responsibly and effectively in the enterprise. Bias for Action: You’re comfortable with ambiguity, eager to take ownership, and capable of turning vision into structured execution. Travel: Flexibility to travel 25–75% depending on engagement needs. What We Offer Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office. Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity. Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space. Collaborative and supportive work environment, with a strong focus on personal and professional growth. Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities. Note: Distyl is a hybrid working environment and requires in-office collaboration 3 days a week. We have offices in San Francisco, CA and New York, NY, and this role is available in either location.

Location: San Francisco

Salary range: None - None

AI Strategist (Lead Level)

What We Are Looking For As an AI Strategist Lead, you will lead Distyl’s most complex, high impact customer engagement end-to-end. Partnering a senior technical leader, you’ll oversee a multidisciplinary team of engineers, researchers, and AI Strategists to deliver enterprise-scale outcomes that fundamentally transform how our customers operate You’ll work directly with C-suite and senior executives at Fortune 500 companies, helping them scope and shape AI -native strategies, and drive adoption of new workflows. You will be accountable not just for delivery, but for measurable business impact, long-term value creation, and building trusted executive relationships. You’ll shape the vision, drive execution, and influence our product roadmap by representing the voice of our most strategic customers. This role is ideal for someone with a rare blend of operational rigor, customer obsession, and strategic clarity - who thrives in ambiguity, leads with influence, and is passionate about AI. Key Responsibilities Executive Engagement: Build trust with senior stakeholders, including C-suite and VP-level sponsors. Align on business priorities and act as a strategic thought partner. End-to-End Ownership: Lead customer engagements from initial scoping to sustained value delivery. Define success, design the roadmap, and measurable outcomes. AI Strategy & Value Discovery: Identify the most valuable problems to solve and aligning solutions to ROI. Team Leadership: Jointly lead teams of 10+ engineers, researchers, AI Strategists and program managers. Set clear goals, foster a high-performing team culture, and manage cross-functional execution. Enterprise-Grade Delivery: Ensure technical solutions meet performance, compliance, and scalability standards. Navigate complex enterprise environments and drive cross-functional dependencies to deliver deeply integrated solutions. Change Management & Adoption: Drive onboarding, user adoption, and change management to ensure systems are embedded into daily workflows. Platform Influence: Represent the customer’s voice to the Platform team. Surface insights and themes that inform platform development. What We Require Enterprise-Scale Delivery Experience : A track record of successfully leading large, complex high-budget customer engagements or transformation programs ($10M+) ideally involving AI. Most successful candidates will have at least 10 years of experience working with enterprise customers. People Leadership: Track record of leading cross-functional teams and mentoring others. You foster clarity, motivation, and accountability at scale. Enterprise Scale Delivery: Demonstrated experience delivering mission-critical solutions for organizations with significant scale, complexity, and regulatory considerations. Executive Communication: Comfortable presenting to C-level stakeholders and translating between technical and non-technical audiences. Strategic Leadership: Ability to frame high-level business challenges, guide strategic decision-making, and influence senior executives. Customer-Centric Mindset: Deep empathy for users and the ability to identify solutions that create tangible, lasting business impact.. Technical Acumen: Proficiency in programming or data analysis tools (e.g., Python, R, SQL) and a solid understanding of AI/ML concepts. Passion for AI: You believe in AI’s transformative potential and want to help shape how it’s applied responsibly and effectively in the enterprise. Bias for Action: You’re comfortable with ambiguity, eager to take ownership, and capable of turning vision into structured execution. Travel : Flexibility to travel 25–75% depending on engagement needs. What We Offer Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office. Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity. Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space. Collaborative and supportive work environment, with a strong focus on personal and professional growth. Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities. Note: Distyl is a hybrid working environment and requires in-office collaboration 3 days a week. We have offices in San Francisco, CA and New York, NY, and this role is available in either location.

Location: New York

Salary range: None - None

AI Engineer (All Levels)

Distyl AI develops AI-native technologies that enable humans and AI to collaboratively power operations across the Global Fortune 1000. In just 24 months, we’ve partnered with some of the world’s most iconic enterprises including F100 telecom, healthcare, manufacturing, insurance, and retail companies delivering AI deployments with $100M+ in impact. Our platform, Distillery , combined with our cross-functional teams of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work that solve high-stakes challenges at scale. Distyl is founded and led by proven leaders from companies like Palantir, Apple, and national research labs. We maintain a deep partnership with OpenAI and are backed by Lightspeed, Khosla, Coatue, Nat Friedman, and board members from over 20 Fortune 500 companies. What We’re Looking For We’re hiring AI Engineers at all levels of experience , from early-career builders to senior engineers who can lead large-scale deployments and shape our customers' technical roadmap. Regardless of seniority, every AI Engineer at Distyl is a hands-on contributor responsible for designing, implementing, and deploying production-grade AI systems using Large Language Models (LLMs). At the most senior levels, our engineers operate as the technical owners of F500 engagements, defining architecture, engaging with enterprise leaders, and leading technical teams to transform mission-critical workflows. Responsibilities All AI Engineers at Distyl are expected to: Design and Deploy LLM-Powered Systems: Build and deploy robust GenAI systems that deliver measurable business value. Includes model evaluation, prompt design, agent/agentic logic, and full-stack application development. Engage Deeply with Customers: Work directly with customer stakeholders to understand their most pressing business and technical needs, and turn those into tailored, high-impact AI solutions. Build and Improve Our Platform: Contribute to the development of Distillery, our internal LLM application platform, by developing reusable tools, infrastructure, and workflows that scale across customers. Deliver Production Quality: Ensure systems are observable, maintainable, and meet rigorous reliability, performance, and security standards. Evaluate AI Systems Scientifically: Lead evaluation efforts balancing accuracy, latency, explainability, cost, and robustness. Continuously Improve: Refine development workflows, platform architecture, and deployment practices to raise the engineering bar. At higher levels of experience, you will also: Set technical direction and architecture for multi-million-dollar customer engagements. Earn executive trust and guide enterprise engineers through rollout and long-term operations. Mentor and up-level Distyl engineers via design reviews, architectural design reviews, leading by doing, and targeted coaching. Qualifications We believe great AI Engineers come from diverse backgrounds and are unified by deep curiosity, pragmatism, and engineering excellence. We’re excited to meet candidates with: Proficiency in Python or Typescript (experience with a diverse set of languages is a plus), with hands-on experience using LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP and Agents SDK. Experience building and deploying LLM-powered AI agents in production, including tool use, prompt orchestration, RAG, and long-horizon task execution. Deep understanding of agent design patterns, with practical experience in observability, debugging, and human-in-the-loop feedback systems. Skilled at solving complex, ambiguous problems using cutting-edge AI techniques to deliver meaningful business outcomes. Familiar with responsible AI practices (e.g., auditability, interpretability), and experienced in aligning AI systems with enterprise-grade requirements. Comfortable working across cloud environments (AWS, GCP, Azure) with modern DevOps tools (Docker, CI/CD), and collaborating closely with cross-functional teams. For senior roles: strong architectural and systems design, experience leading projects, navigating and deploying into enterprise hybrid cloud environments and mentor others What We Offer Competitive salary and meaningful equity. 100% covered medical, dental, and vision for employees and dependents. 401(k) with additional perks (commuter benefits, in-office lunch). 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. Offices in San Francisco and New York with hybrid collaboration (3+ days/week in-office).

Location: San Francisco

Salary range: None - None

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