Senior Product Manager, Plan to Code
Shapes product strategy connecting planning, source code management, and AI-assisted development in GitLab’s DevSecOps platform. The role requires deep software-development-lifecycle knowledge, technical product management experience, data-driven prioritization, and experience building with AI tools and agents.
About the job
Responsibilities
- Define and drive product strategy for experiences connecting planning, source code management, and AI-assisted development.
- Shape spec-driven development workflows that help teams and AI agents move from requirements to code.
- Partner with engineering, design, and product teams to build human-in-the-loop and autonomous development workflows.
- Collaborate on demos and prototypes involving spec-driven planning and autonomous development modes.
- Use customer insights, product usage data, and market context to identify opportunities and prioritize customer value.
- Help teams ship quickly while balancing near-term execution with longer-term product direction.
- Explore ways for planning workflows to account for code review, test-case review, and validation of agent-produced work.
- Collaborate across Plan, Source Code Management, Code Review, and AI product areas to reduce software-development-lifecycle friction.
Requirements
- Product management experience with developer tools, DevOps tools, source code management, planning tools, AI-native products, or related software-development-lifecycle products.
- Hands-on experience with the source code lifecycle, including branches, merge requests, code review, CI/CD, and releases, as a product manager or engineer.
- Strong understanding of how software moves from requirements through planning, coding, review, testing, and delivery.
- Experience working with technical product areas and engineering teams, with sufficient technical depth to understand developer workflows and tradeoffs.
- Data-driven product management experience using data to identify customer impact and guide prioritization.
- Comfort operating in ambiguous spaces without an established market pattern or product category.
- Experience building or shipping with AI tools and agents, with a clear perspective on their applications across the software development lifecycle.
- Ability to think creatively about how AI changes software development and product experiences.
- Strong collaboration and communication skills, particularly in an all-remote, asynchronous environment.
- Bias toward action and ability to help teams deliver meaningful customer value quickly.
Benefits and Compensation
- Flexible paid time off
- Team member resource groups
- Equity compensation and employee stock purchase plan
- Growth and development fund
- Parental leave
Skills
DevSecOps, Artificial Intelligence, Source Code Management, Git, Merge Requests, Code Review, CI/CD, Software Development Lifecycle, Product Analytics, AI Agents
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