Staff Product Manager, AI Factory - Domino Data Lab

About Domino Data Lab

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 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.

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 recognized 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.

Your Impact

• 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.

Qualifications

• 5+ years of product management experience shipping enterprise software to developers, ML engineers, quantitative researchers, data scientists, or similar practitioners who write code as their primary interface with the product (non-negotiable).
• Strong technical background in computer science or an equivalent discipline with a track record of solving hard product problems. You operate as a peer in system design conversations.
• Customer-first instincts with experience owning enterprise customer relationships and navigating large, politically complex organizations.
• Execution-focused approach, thriving at synthesising customer signal, market direction, and technical constraints into bets that ship.
• Bonus: Hands-on familiarity with data science / AI workflows, or experience shipping product into regulated environments.

Company Values

• Diversity and inclusion across all backgrounds, genders, ethnicities, abilities, and sexual orientations.
• A growth mindset focused on high performance and creative problem-solving.
• Authenticity, seeking truth, and open communication.
• Continuous improvement across every discipline.
• An environment of teaching and learning to equip team members for success.

Visa Sponsorship

Visa sponsorship (including H-1B and other employment-based visa categories) may be available for this position depending on business considerations and the role's requirements. Sponsorship eligibility is assessed on an individual basis.