Principal Product Manager, AI Factory

Overview

Principal Product Manager for the AI Factory at Domino Data Lab, owning capabilities in the platform's governance, extensions, AI/ML lifecycle and deployment areas for regulated enterprises.

What you'll do

• Advance the Governance feature set, embedding model validation, review and audit-readiness into the development lifecycle, including automated model documentation and modern takes on attestation and revalidation.
• Shape the Extensions framework, a new product surface for embedding custom capabilities such as 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 you'll need

• 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.
• Strong technical background in computer science or an equivalent discipline.
• A track record of solving hard product problems where the difficulty is intrinsic, not superficial.
• Ability to operate as a peer in system design conversations.
• Experience owning enterprise customer relationships in prior roles and running product conversations inside large, politically complex organisations.

Nice to have

• Hands-on familiarity with data science / AI workflows.
• Experience shipping product into regulated environments.

Details

• Remote, US.
• Annual US base salary range of $250,000 to $350,000 USD, narrowed during the interview process.
• Visa sponsorship (including H-1B and other employment-based categories) may be available, assessed on an individual basis and not guaranteed.