GitLab

Senior Product Manager, AI Platform Management

Remote Security & Compliance role with clear candidate location fit.

PostedRecently added

Eligible countries37 accepted countries

Seniority signalLead

Work settingRemote

Accepted candidate locations

AlbaniaAustriaBelgiumBulgariaCroatiaCyprus+31 more

Role overview

Readable role content extracted into sections for faster review.

Drive product strategy and execution for GitLab's AI Platform Management area, with a focus on governance, control, and platform services for agentic AI.
Own the AI Control Plane as the central experience for platform teams to define guardrails, configurations, governance policies, and audit evidence around agent activity.
Own the foundational control plane services for the Autonomous Factory, including the Flow Execution Engine, the Constraint & Policy Store, and the Audit Log Service.
Conduct competitive analysis across AI agent execution platforms, large language model providers, and adjacent market alternatives to inform product direction and differentiation.
Identify customer problems and monetization opportunities, develop solution concepts, and validate them through close partnership with field teams and customers.
Engage directly with GitLab's top enterprise customers for product discovery, research, design partnership, and ongoing feedback loops.
Translate governance, compliance, and enterprise platform requirements into clear product requirements, priorities, and acceptance criteria for cross-functional teams.
Communicate product narrative, strategy, tradeoffs, and roadmap updates effectively with internal leaders and customer stakeholders.

Product management experience owning platform or governance products in a B2B SaaS environment, with the ability to drive strategy and execution in complex technical domains.
Experience shipping foundational services with downstream integration points, not just features layered on top of existing systems.
Strong platform product instincts and the ability to balance short-term roadmap needs with longer-term architectural direction.
Deep knowledge of enterprise governance concepts such as software development lifecycle governance, policy as code, enforcement patterns, and audit trail completeness in regulated environments.
Fluency in agentic AI concepts at the platform level, including harnesses, context, tools, MCP, skills, agent identity, registration, and session lifecycle.
Hands-on experience with AI agent platforms or major AI providers such as OpenAI, Claude, Amazon Bedrock, Vertex, or similar ecosystems.
Working knowledge of compliance frameworks such as the EU AI Act, ISO 42001, SOC 2, HIPAA, or related standards, and the ability to map product capabilities to customer compliance requirements.
Strong executive communication skills and comfort operating in fast-moving, ambiguous spaces where priorities can shift while the strategic direction stays clear.