Staff Product Manager, AI Factory

Reposted 8 Days Ago
Easy Apply
Hiring Remotely in US
Remote or Hybrid
225K-300K Annually
Senior level
Artificial Intelligence • Machine Learning
Unleash data science, one innovation at a time.
The Role
Lead product management for Domino's AI Factory, enhancing MLOps capabilities, driving innovations, and integrating governance in model development. Engage with enterprise clients and maintain high product quality standards.
Summary Generated by Built In

Who we are
At Domino, we build software that helps the world’s most sophisticated enterprises deliver mission-critical AI systems. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy models — while managing costs, risk, and security.  Our customers — like Johnson & Johnson, GSK, Bristol Myers, 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 defending our country. Backed by Sequoia Capital and other leading investors we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially 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 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.

#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
$225,000$300,000 USD

Skills Required

  • 5+ years of product management experience delivering enterprise software for data scientists
  • Deep understanding of the AI/ML ecosystem and workflows
  • Strong technical proficiency, with a background in computer science or related field
  • Excellent communication skills for interactions with enterprise customers
  • Experience in financial services industry (nice to have)

What the Team is Saying

Claus Murmann
Melissa Smith

Domino Data Lab Compensation & Benefits Highlights

  • Healthcare Strength Premium medical, dental, and vision plans include multiple choices with at least one $0‑premium option for employees and families. Mental‑health resources and coverage breadth indicate robust employer support.
  • Leave & Time Off Breadth Flexible/unlimited PTO is promoted, encouraging time away as needed. Remote‑friendly work and location flexibility further support taking leave without rigid constraints.
  • Wellbeing & Lifestyle Benefits Wellness and lifestyle perks include a Calm subscription, fitness reimbursement, a home‑office stipend for new hires, and pre‑tax commuter benefits. Continuing‑education reimbursement adds lifestyle and growth support beyond core pay.

Domino Data Lab Insights

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The Company
HQ: San Francisco, CA
200 Employees
Year Founded: 2013

What We Do

Domino Data Lab powers model-driven businesses with its leading Enterprise AI platform trusted by over 20% of the Fortune 100. Domino accelerates the development and deployment of data science work while increasing collaboration and governance. With Domino, enterprises worldwide can develop better medicines, grow more productive crops, build better cars, and much more. Founded in 2013, Domino is backed by Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital and other leading investors. For more information, visit www.domino.ai

Why Work With Us

We’re looking for sharp, scrappy people who crave a high degree of ownership, are laser-focused on personal growth, and can stick the landing between high standards and low ego. In our fast-paced environment, you’ll find all the white space and opportunity you need to thrive.

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Domino Data Lab Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQSan Francisco, CA
London, UK
Argentina (Remote Hub)
Learn more

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