Note: The job is a remote job and is open to candidates in USA. Domino Data Lab builds AI solutions for highly regulated organizations. The Principal Product Manager will shape enterprise AI product capabilities, including governance, extensibility, AI/ML lifecycle management, and deployment, while translating customer needs into product decisions.

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

Skills

• 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
• 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
• 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
• 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
• Hands-on familiarity with data science / AI workflows, or experience shipping product into regulated environments

Benefits

• Equity may be available for this role.
• Company bonus or sales commissions/bonuses may be available for this role.
• 401(k) plan may be available for this role.
• Medical, dental, and vision benefits may be available for this role.
• Wellness stipends may be available for this role.

Company Overview

Company H1B Sponsorship