Senior Product Manager, AI Platform Management

New
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GitLabDevSecOps
Location: Remote, Ireland; Remote, Israel; Remote, United KingdomFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
Product ManagementCross-functional collaborationStakeholder management

Requirements

  • Experience building product for AI platforms, AI configuration, governance, or other platform capabilities rather than only consuming third-party AI tools.
  • Ability to work through ambiguous, evolving technical spaces and translate them into clear product direction and execution plans.
  • Skill in cross-functional collaboration with engineering, design, and partner teams, including handling disagreement and driving decisions through influence.
  • Judgment to bring structured alternatives, trade-offs, and recommendations to leaders instead of escalating problems without context.
  • Ownership mindset with a strong sense of accountability, urgency, and follow-through in a role that requires persistence.
  • Comfort operating in a large, matrixed organization where progress depends on coordination across multiple stakeholders and teams.
  • Communication skills that support clear written and verbal collaboration in a distributed, asynchronous environment.
  • Openness to candidates with transferable product experience from adjacent platform or infrastructure domains.

Responsibilities

  • Lead product discovery and delivery for AI Control Plane capabilities that help administrators manage AI usage within GitLab.
  • Define product direction for configuration and governance experiences related to agents, Model Context Protocol servers, tools, skills, and approval flows.
  • Collaborate closely with engineering, design, and partner teams across AI Governance and related product groups to turn ambiguous problems into clear plans.
  • Drive alignment across stakeholders by presenting trade-offs, alternatives, and product recommendations grounded in customer and business impact.
  • Own prioritization decisions for a platform area that supports multiple teams and products, including emerging work connected to autonomous AI experiences.
  • Partner with engineering managers and technical leaders across regions to deliver platform capabilities in an asynchronous, distributed environment.
  • Navigate cross-functional challenges with persistence, using escalation thoughtfully and only after working through options with peers.
  • Communicate strategy, decisions, and progress clearly so teams can move forward with shared context and accountability.
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