Distyl's Posts (216)

2025-11-10 Distyl

Campus Recruiter

About Distyl AI: Distyl AI develops AI-native technologies for humans & AI to collaborate to power the operations of the Global Fortune 500. In just over 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), and board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations. What We Are Looking For Distyl is looking for a dynamic and relationship-driven Campus Recruiter to build and scale our university recruiting program. In this role, you’ll design and execute a comprehensive strategy to attract exceptional early-career talent from top universities and programs. The ideal candidate thrives in fast-paced, high-growth environments and has a strong track record of managing university partnerships, career fairs, and early talent pipelines end to end. You’ll bring creativity, organization, and strong communication skills to ensure that Distyl becomes a top destination for emerging talent in AI, engineering, research and strategy. Key Responsibilities Design and lead Distyl’s campus recruiting strategy by building strong partnerships with top universities and student organizations across technical and business disciplines. Plan and execute all campus events including career fairs, information sessions, hackathons, and networking events, managing logistics, coordination, and on-the-ground representation. Develop scalable early talent programs such as internship pipelines, new graduate hiring tracks, and rotational programs. Partner closely with hiring managers to identify early talent needs, align on role profiles, and deliver diverse, high-quality candidate pipelines. Deliver exceptional candidate experiences ensuring clear communication, timely feedback, and a positive reflection of Distyl’s culture and values. Leverage data and recruiting tools (including AI-driven platforms) to track performance metrics, improve engagement, and continuously optimize the campus recruiting process. Champion Distyl’s employer brand across campuses through social media, partnerships, and thought leadership in university ecosystems. What We’re Looking For 5 years of experience in campus or university recruiting with a demonstrated ability to build and manage recruiting programs from the ground up. Willingness to up travel 30% to universities and events outside of New York City as needed throughout the academic year. Proven success working with top universities and early talent programs, ideally within tech, consulting, or high-growth environments. Strong project management skills, highly organized, detail-oriented, and comfortable running multiple events and programs simultaneously. Excellent communication and relationship-building skills with a genuine enthusiasm for engaging with students, faculty, and career services partners. Ability to use recruiting tools (e.g., Ashby, Gem, Handshake, LinkedIn) to source, manage pipelines, and analyze recruiting data. A proactive, collaborative mindset, comfortable operating autonomously while partnering closely with internal stakeholders. Passion for building inclusive and scalable early talent strategies that reflect Distyl’s values and long-term vision. What We Offer Competitive salary and benefits package, including equity options and healthcare. The opportunity to work at a mission-driven AI startup that is transforming how Fortune 500 companies operate. A fast-paced, dynamic work environment where your contributions will directly impact the company’s success. A collaborative culture that values professional growth and encourages taking on new responsibilities. Exposure to cutting-edge AI technologies and the opportunity to build a world-class team. If you are a proactive, detail-oriented professional who excels in supporting high-powered teams, we encourage you to apply and join our mission of enabling the future of AI-powered enterprises. Note: Distyl is a hybrid working environment and requires in-office collaboration 3 days per week in one of our offices. We have offices in New York City and San Francisco.

Location: New York

Salary range: None - None

2025-11-10 Distyl

Applied AI Researcher, System Self-Improvement

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 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. What We Require 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. 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

2025-11-10 Distyl

Applied AI Researcher, System Self-Construction

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 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. What We Require 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. 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

2025-11-10 Distyl

Infrastructure Engineer

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), and board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise What We Are Looking For A senior Infrastructure Engineer, you will play a pivotal role in shaping the foundation of Distyl AI’s platform development. This is a hands-on role for an engineer with both the breadth and depth to build secure, scalable, and easily deployable infrastructure. Your work will ensure our AI platform, Distillery, is reliable across diverse customer-hosted cloud and on-prem environments. You’ll be responsible for more than just keeping systems running—you’ll architect and evolve the core infrastructure and pipelines that enables our AI-native applications to be delivered to Fortune 500 companies. The ideal candidate is an opinionated, pragmatic engineer energized by the opportunity to define how cutting-edge AI applications are deployed in production at a global scale. Strong communication skills and a demonstrated ability to take ownership are essential. Key Responsibilities Design & Operate Cloud-Native Infrastructure: Architect and manage resilient, scalable deployments across cloud and hybrid environments, leveraging Kubernetes, serverless frameworks, and modern microservices architectures with the infrastructure that powers them. Evolve Infrastructure as Code: Drive the development of modular Terraform and GitOps configurations that ensure consistency, repeatability, and speed across multi-cloud environments. Advance Automation & CI/CD: Drive our automation strategy by building and refining CI/CD pipelines that enable rapid, reliable deployments. You'll apply modern practices like GitOps and work with a variety of build and deployment tools, such as Gradle, Bazel, Flux, Helm, and GitHub Actions, to reduce operational overhead. Embed Security & Compliance: Integrate IAM, secrets management, and secure service-to-service communication into every layer of the infrastructure. Drive Observability & Reliability: Establish robust monitoring, logging, and alerting practices with tools like Datadog Prometheus, Grafana, and OpenTelemetry to ensure our systems are performant, secure, and enterprise-ready. AgentOps & AI Tooling: Design and build the critical infrastructure for our advanced AI systems. This includes architecting AI toolchains, handling complex agent integrations and agent deployments. Qualifications 6+ years of professional experience in infrastructure, DevOps, or systems engineering roles, with a proven track record of delivering production-grade systems. Deep expertise in cloud platforms (Azure, AWS, or GCP) and container orchestration with Kubernetes. Strong experience with Infrastructure as Code tools (Terraform, Pulumi, etc.) and GitOps workflows. Hands-on experience with CI/CD systems (Flux, ArgoCD, Helm, GitHub Actions, GitLab CI). Proficiency in Python and Linux for automation and tooling. Solid knowledge of microservices architecture, distributed systems design, networking, security, IAM, and secrets management. Familiarity with modern observability stacks (Prometheus, Grafana, OpenTelemetry, DataDog). Experience with serverless frameworks and event-driven architectures. A demonstrated ownership mindset—able to take initiative, make informed decisions, and drive projects forward. Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. What We Offer The opportunity to shape AI infrastructure for Fortune 500 companies. A role at the intersection of cloud, AI, and automation, working alongside elite engineers and AI researchers. Competitive salary, benefits, and equity in a high-growth startup. Hybrid work environment – 3 days a week in our NYC office. If you’re passionate about scalable infrastructure, automation, and making AI systems deployable, we’d love to hear from you. Apply now and help define the future of AI-powered enterprise infrastructure! Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. This role will be based in our office in New York City.

Location: New York

Salary range: None - None

2025-11-10 Distyl

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

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