
Distyl AI partners with blue-chip leaders to help them create the enterprises of the future. The company’s technology, talent, and research have driven outcomes for the world’s greatest companies,…

Distyl AI partners with blue-chip leaders to help them create the enterprises of the future. The company’s technology, talent, and research have driven outcomes for the world’s greatest companies,…
Business: Enterprise AI systems provider (platform: Distillery) focused on production decision infrastructure
Founding: Founded 2022; headquartered in San Francisco
Founders / leadership: Arjun Prakash (Co‑Founder & CEO), Derek Ho (Co‑Founder & COO)
Scale: Reported ~141 employees and 120M+ end users reached
Funding: Total reported funding ~USD 202M including a reported USD 175M Series B
Enterprise AI/decision infrastructure for industries including telecommunications, healthcare, manufacturing, insurance, and retail.
2022
Enterprise software / Artificial intelligence
USD 7000000
Reported early backers include Coatue Management, Nat Friedman, Brad Gerstner, and Dell Technologies Capital
USD 20000000
Reported participation by Lightspeed Venture Partners and Khosla Ventures
USD 175000000
Reportedly raised at a reported USD 1.8B valuation with participation from Khosla Ventures, Lightspeed, Coatue, Dell Technologies Capital and DST Global
“Backed by prominent venture investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, Dell Technologies Capital, and DST Global”
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About Distyl AI 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 results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.
What We Are Looking For Distyl AI is seeking a Senior Platform Product Manager based in San Francisco or New York City to lead the strategy, development, and evolution of the platform that powers our enterprise AI deployments.
In this role, you will operate at the center of Distyl’s product and technology strategy, owning how we translate real-world enterprise use cases into scalable, reusable platform capabilities. You will work across AI infrastructure, developer experience, and enterprise applications, partnering closely with platform engineers, forward-deployed teams, and customers to define what we build and why.
This is a highly strategic role for someone who thrives in high-ownership environments, is comfortable navigating ambiguity, and has a strong point of view on how modern AI platforms should be designed and scaled. You will play a key role in shaping how Distyl builds repeatable, extensible platform solutions that accelerate the delivery of production-grade AI systems.
Key Responsibilities
Required Who You Are
What We Offer
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.
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Own the vision, roadmap and prioritization for Distyl’s AI platform, with a focus on capabilities that can be reused across customer deployments
Partner with engineering, forward-deployed teams and customers to identify repeated needs and translate them into scalable platform features and abstractions
Develop a clear framework for what should be standardized in the platform versus delivered in a customer-specific way.
Lead the development and prioritization of core platform capabilities, including:
AI model orchestration
Agent frameworks
Evaluation and monitoring systems
Self improvement systems
Developer tooling and workflows
Enterprise data integrations
Human feedback collection
Establish clear product strategy, success metrics, and technical direction for platform investments.
Drive improvements in developer experience, system reliability, and deployment velocity across internal and external users.
Ensure the platform enables fast, secure, and production-grade AI deployments for enterprise customers.
Collaborate with leadership to align platform strategy with company-level growth and scaling objectives.