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Principal Product Manager, AI Factory

Domino Data Lab

Remote · United States$20,833–29,167 gross/mofull-timeDomino Data Lab Careers

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.

Responsibilities

  • 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.

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    Work format
    Remote
    Seniority
    Lead
    Posted
    15 Jan 2026
    Last verified
    In the last 5 days

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