Principal Product Manager (AI Factory)

Job summary
Permanent contract
New York
Fully-remote
Salary: $225K to 300K
Experience: > 5 years
Skills & expertise
Technical aptitude
Negotiation skills
Generative AI
Primary
Slack
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Domino Data Lab
Domino Data Lab

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Questions and answers about the job

The position

Job description

  • 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
  • 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

Benefits

  • Health & wellness: Premium medical, dental, and vision insurance plans, including a free option for you and your family
  • Commuter benefits: What’s your transportation of choice? We support your daily commute, whether Uber, Lyft, bus, or train
  • Love for parents: New parents receive up to eight weeks of fully paid-parental leave. P.S. Got baby pics? Share them in our Slack channel dedicated to kids
  • Flexible paid time off: We value your right to disconnect. Take the time you need to recharge, spend time with family, and explore the world
  • Annual education reimbursement: Pursue the professional growth that will help you excel in your role with educational opportunities that work for your needs, and at your speed
  • Own your outcome: Feel supported to get your work done how and when you need to, regardless of your location

Preferred experience

  • 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
  • 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
  • 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
  • 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 experience shipping product into regulated environments

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