Staff Technical Product Marketing Manager, Context Engineering
Leads positioning, messaging, launches, and adoption for MongoDB’s AI and agentic context engineering portfolio. The role requires 7–10 years of relevant experience, deep familiarity with developer tooling and the agentic stack, and the ability to influence technical and executive audiences.
About the job
Responsibilities
- Own strategy and execution for MongoDB’s context engineering portfolio, including MCP Server, Agent Skills, and VoyageAI, aligning roadmap and go-to-market with business goals.
- Collaborate with Product Management, Engineering, Developer Relations, Partners, Solutions Architecture, and Sales.
- Develop data-driven positioning, messaging, and personas for agent builders, coding agents, and platform teams.
- Advise on tactics to reach developers through IDEs, CLIs, and plugin marketplaces.
- Create technical content explaining how MongoDB developer tools work together across connectivity, guardrails, and infrastructure.
- Analyze agentic engineering adoption data, including MCP tool-call volume, Agent Skills usage, and plugin installs across Claude Code, Cursor, Gemini CLI, and VS Code.
- Develop and execute cross-functional launch strategies for new agent tooling functionality to grow adoption and revenue.
Requirements
- 7–10 years of experience in product marketing, product management, developer relations, or solutions engineering, preferably in B2B technology, AI/ML, cloud, or developer tools.
- Proven success in fast-paced, high-growth environments and in developing and executing strategies against business objectives.
- Strong data-driven judgment.
- Excellent verbal and written communication skills, with the ability to influence cross-functional teams and senior leaders.
- Deep understanding of the agentic development stack, including Model Context Protocol, coding agent tooling, CI/CD, and cloud infrastructure.
- Ability to connect technical product areas to business impact.
- Empathy for developer and platform-team pain points, including coding-agent adoption use cases and implementation specifics.
- Strong bias for action and ability to drive cross-functional execution.
- Ability to represent the company as a subject matter expert in executive customer calls, analyst briefings, and public appearances.
Nice-to-Haves
- Experience building and shipping AI-enabled products.
- Experience using developer tools in daily workflows.
- Prior experience in technical sales, developer relations, or software development.
- Experience with B2B technology, AI/ML, cloud, or developer tools.
Skills
Product Marketing, Product Management, Developer Relations, Solutions Engineering, AI/ML, Model Context Protocol, Claude Code, Cursor, Github Copilot, Gemini Cli, Codex, CI/CD, Cloud Infrastructure, Voyageai, Mcp Server
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