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Principal Product Manager, AI Factory

Dominodatalab

This Staff Product Manager role focuses on building governance, auditability, and infrastructure for enterprise AI/ML platforms. You will manage complex products used by highly regulated industries like pharma and defense.

What you’d own

  • Governance feature set including model validation and automated documentation
  • Extensions framework for custom capabilities like risk management
  • AI/ML lifecycle capabilities with a focus on generative AI
  • SaaS and customer-managed deployment, hosting, and security

Who it’s for

A fit if you…

  • ✓You have 5+ years of experience shipping software to technical users like ML engineers or data scientists.
  • ✓You possess a strong computer science background and can participate in system design as a peer.
  • ✓You are comfortable navigating complex, high-stakes enterprise environments and executive stakeholders.

Not for you if…

  • ✗You prefer building for general consumers rather than technical practitioners who use code as their primary interface.
  • ✗You prefer a 'translator' role rather than engaging directly in deep technical system design conversations.
  • ✗You prefer working on non-regulated products without the constraints of auditability and compliance.

Reading between the lines

  • The requirement for 'technical conversation on your own merit' suggests you will have very little hand-holding from engineering.
  • The focus on 'politically complex organizations' implies a high degree of internal and external stakeholder management.
  • The emphasis on 'hard product problems where the difficulty is intrinsic' suggests a heavy focus on infrastructure and core platform logic over UI/UX polish.

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Benefits

EquityBonus401kHealthDentalVisionWellnessVisa Support
Full job description

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 experience shipping product into regulated environments. What we value We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply We value a growth mindset.

High-performing creative individuals who dig into problems and see the opportunities for success We believe in individuals who seek truth and speak the truth and can be their whole selves at work. We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything. We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.

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 and is not guaranteed for any role or candidate. All applicants are encouraged to apply regardless of current or future immigration status. #LI-Remote The annual US base salary range for this role is listed below.

For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Compensation Range $250,000 — $350,000 USD

About Dominodatalab

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Domino Data Lab is an enterprise AI platform for code-first data science teams: it gives researchers reproducible environments, orchestrates compute across cloud and on-prem, and handles the model deployment and governance side that regulated industries need. It sells into pharma, financial services and manufacturing, where the work is long-running research rather than quick experiments. The company raised a $100M Series F led by Great Hill Partners in 2021, has taken $228M+ across rounds through a 2025 Series F extension, and runs a team of roughly 260 people. Roles are posted remote across the US, UK, Germany, Spain, India and South America, with competitive parental leave and an explicit right to disconnect.

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