Senior Product Manager to define product strategy and drive outcomes within Laivly's platform. Collaborating across teams and leading initiatives focused on customer experiences with AI - driven solutions.
About the role
- Director of Product at GitLab focusing on AI agent strategy and ecosystem interoperability. Collaborating with teams to drive adoption of GitLab's agent experiences and products.
Responsibilities
- Lead the strategy for GitLab's agent builder and broader agent ecosystem within the GitLab Duo Agent Platform, with a focus on interoperability and an extensible platform approach.
- Define how GitLab works alongside external model and agent platforms (including OpenAI, Anthropic Claude, and Google Gemini) while creating clear product value for customers.
- Drive the roadmap for agent interoperability, including multi-agent patterns, tool integration, and Model Context Protocol (MCP) considerations.
- Partner with engineering leadership to align on vision, operating model, and execution across distributed teams.
- Collaborate with product teams across DevSecOps and Security to enable domain experts to build high-value agents and flows, and bring them into the Duo Agent Platform.
- Guide the approach for growing adoption and usage of GitLab's agent experiences, including out-of-the-box agents, the AI catalog, and custom and external agents.
- Work closely with partnerships and strategy and operations to shape ecosystem relationships and integration priorities.
- Communicate strategy, tradeoffs, and decisions clearly in an async-first environment, keeping stakeholders aligned from early discovery through delivery.
Requirements
- Experience building or leading agent builder products, including defining agent instructions, tool use, and developer experience for low-code, no-code, or code-first workflows.
- Strong understanding of the AI ecosystem, including interoperability patterns across model and agent providers (for example: OpenAI, Anthropic Claude, and Gemini).
- Knowledge of multi-agent systems and approaches for agents from different ecosystems to work together.
- Familiarity with tools and standards for agent interoperability (for example: Model Context Protocol (MCP)) and an open-platform mindset.
- Experience driving adoption of new AI products, including out-of-the-box agents, an AI catalog, and support for external and custom agents.
- Strong cross-functional collaboration skills, including partnering with engineering leadership, partnerships teams, and product teams across DevSecOps and Security to scale agent creation beyond a single team.
- Clear, direct communication and comfort working asynchronously with team members across regions; transferable experience is welcome if you have relevant agentic AI and platform background.
Benefits
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental leave
- Home office support
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