Staff Product Manager, AI Factory

Who we are
At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform integrates a streamlined model and app development environment, advanced model, agent, and app hosting capabilities, and novel governance capabilities providing regulator-ready AI at scale. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for over a decade but are still a small team operating with the spirit of a startup. In the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai

What we are building

Domino is the platform enterprises trust when the stakes on AI are highest. Global pharma running drug-discovery pipelines, top-five insurers underwriting billion-dollar risk, defense and intelligence agencies retraining mission-critical systems. Every model has to be auditable, defensible and reproducible from the day it's built. This is why Gartner has recognised us three times in the Enterprise Data Science & ML Platforms category.

Frontier models have unlocked a new class of AI applications regulated companies couldn't previously ship — the governance, auditability and control primitives weren't there. Domino is building that layer. As a technical Product Manager, you'll own capabilities within it and shape the next chapter of what regulated enterprise AI looks like.

What your impact will be

- Advance our Governance feature set — embedding model validation, review and audit-readiness directly into the development lifecycle, including automated model documentation and modern takes on longstanding requirements like attestation and revalidation.

- Shape the Extensions framework, a new product surface for embedding custom capabilities into the platform: model risk management, onboarding, inventory, and audit-ready documentation.

- Lead the next generation of AI/ML lifecycle capabilities, with a specific focus on generative AI and advanced AI systems.

- Strengthen how customers deploy, host, secure and administer Domino across SaaS and customer-managed environments.

- Partner directly with customer executives — up to and including CIOs, CTOs and Chief Data Officers at Fortune 100 companies — to turn their hardest operational-AI problems into product decisions.

What we look for in this role

This role is for builders. We're looking for PMs who default to shipping, who can carry a technical conversation on their own merit, and whose past work stands up to engineering scrutiny.

- 5+ years of product management experience shipping enterprise software to developers, ML engineers, quantitative researchers, data scientists or similar practitioners — users who write code as their primary interface with the product. Non-negotiable.

- Strong technical background — computer science or an equivalent discipline — and a track record of solving hard product problems where the difficulty is intrinsic, not superficial. You operate as a peer in system design conversations, not a translator.

- Customer-first instincts. You've owned enterprise customer relationships in prior roles and are comfortable running product conversations inside large, politically complex organisations. You listen carefully, read a stakeholder map, and turn what customers actually need into product decisions.

- Execution-focused. You want to join at an inflection point, not a steady state — at your best when synthesising customer signal, market direction and technical constraint into bets that ship.

- Bonus: hands-on familiarity with data science / AI workflows, or experi