Distyl's Posts (216)

AI Strategist

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 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. Key Responsibilities 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. What We Require 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 25-75%, varying by team. 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

Software Engineer - Back End

About Distyl AI 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 You'll Do 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. Key Responsibilities 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. Who We’re Looking For 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. What We Offer The opportunity to build enterprise-scale AI infrastructure used by Fortune 500 companies. Work alongside top engineers, AI researchers, and enterprise experts in an AI-native company. Competitive salary, benefits, and equity in a fast-growing startup. Hybrid work environment – 3 days a week in our NYC or San Francisco office. If you’re a strong backend software engineer with a passion for building AI infrastructure, we’d love to hear from you. Apply now and help shape the future of AI-powered enterprise systems!

Location: New York

Salary range: None - None

Software Engineer - Front End

Distyl AI develops AI native technologies for humans & AI to collaborate and 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 : We’re looking for experienced Front End Engineers who are excited to define the future of work with a focus on human value. You will build the UI/UX patterns in which AI is deployed and used by the world’s most important institutions. As a member of our FE engineering team, your day to day will vary from writing code, collaborating with product and design on defining our products, and building core engineering infrastructure. Key Responsibilities : Building Enterprise Grade Frontend Applications : You will collaborate closely with the rest of our team to deliver high quality frontend applications. Solution Design : Collaborate closely Distyl AI Strategists to deeply understand customer’s workflows and design tailored AI solutions. End-to-End Software Ownership : Take charge of the entire software lifecycle, from service development to deploying them in customer cloud environments. Qualifications : 4+ years of fulltime software engineering experience Experience building production systems at scale (enterprise/B2B applications or customer-facing, high-volume pages) Track record of technical ownership (led features/projects end-to-end, drove technical decisions) Expert in React/TypeScript. Some backend experience in Python is beneficial and experience with AI/ML is helpful. User Empathy and Customer Focus: A deep sense of user empathy and a customer-obsessed approach, ensuring that solutions are not only technically sound but also closely aligned with customer needs and experiences. An Eye for Design: We often build before pixel perfect mocks are built, being able to make a reasonable design choice within the design system is key. Software Architecture: Demonstrated ability in architecting frontend applications for better scalability is critical. Nice to have Product Experience: B2B/enterprise products, client-facing work, startup experience FE Infrastructure: CI/CD, Webpack/Vite, cloud deployment (AWS/GCP/Azure), observability tools What We Offer: Competitive salary and benefits package, including equity options and healthcare. 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. Chance to be part of a growing team that is passionate about AI and its potential to revolutionize human productivity. Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC

Location: New York

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

Principal Advisor

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. The Role As a Principal Advisor, you will partner directly with CXOs across telecom, insurance, financial services, healthcare, and retail to drive AI-led reinvention of customer operations. You’ll identify high-impact opportunities to improve service efficiency, customer satisfaction, and agent performance transforming contact centers into intelligent, AI-native experience hubs. This is a high-visibility role at the intersection of AI innovation and enterprise transformation. You will shape multi-million-dollar strategic initiatives, forge industry-defining partnerships, and influence how Fortune 1000 enterprises adopt AI to reimagine customer experience. Key Responsibilities Executive Advisory: Counsel CXOs on how AI can re-architect contact center and customer operations to drive measurable enterprise value (e.g., lower cost-to-serve, improved NPS, faster resolution times). Opportunity Creation: Identify and shape AI-led initiatives that deliver step-change impact across contact center automation, workforce orchestration, and real-time reasoning. CXO Engagement: Build and sustain deep, trusted relationships with customer experience, operations, and technology leaders. Strategic Deal-Making: Lead negotiations and close $XXmm+ partnerships that unlock $XXXmm+ in enterprise value through AI-native customer engagement. Account Development: Drive continued transformation efforts at key accounts to deepen Distyl’s impact and expand adoption. Market Presence: Be recognized as a thought leader in AI-driven CX transformation - tracking trends in conversational AI, automation, and intelligent customer experience systems. Technology & Culture Curiosity: Develop a deep understanding of Distyl’s AI capabilities, ethos, and mission and how they uniquely apply to customer experience transformation. Qualifications & Experience Proven success leading large-scale customer experience or contact center transformation initiatives ($XXmm+ impact). Experience advising Fortune 1000 executives in CX, operations, or AI transformation. Deep understanding of contact center operations (e.g., workforce management, agent assist, case routing, QA, analytics). Exposure to AI-driven CX solutions such as generative AI assistants, intelligent automation, or reasoning-based decision systems. Exceptional communication and storytelling skills with both technical and non-technical audiences. Demonstrated resilience and adaptability in dynamic, high-stakes environments. Strong desire to work closely with technologists and continuously refine solutions based on enterprise feedback. Why Join Us? Redefine Customer Experience: Lead AI transformations that revolutionize how enterprises serve and engage millions of customers. Operate at the Highest Level: Engage directly with CEOs and CXOs to drive billion-dollar impact across industries. Shape Industry Standards: Partner with leading telecom, financial services, retail, and insurance enterprises to define the next generation of customer operations. High-Growth, High-Upside: Be a key leader in a hyper-growth AI company backed by the best in enterprise and AI. Mission-Driven, Elite Team: Join a culture of high ownership and deep impact, working alongside world-class AI engineers and strategists.

Location: San Francisco

Salary range: None - None

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