Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity. They are seeking a Principal Product Manager for GenAI Developer Tools to lead product strategy, conduct strategic research, and drive the development of tools that improve Python coding workflows.
Responsibilities:
- Lead product strategy and roadmap for Anaconda's Agentic Environment & Package Management initiatives, including MCP (Model Context Protocol) server development and AI tool integrations
- Conduct strategic research with enterprise customers, AI tool vendors, and the open-source community to identify critical integration points and partnership opportunities
- Drive the development and launch of tools and agents that improve the quality of Python vibe-coding
- Support strategic partnerships with top AI-enabled IDEs (Cursor, VS Code, Windsurf, etc.) to ensure Anaconda integration becomes the default choice
- Define and execute on integration strategies that make Anaconda indispensable to AI coding workflows, preventing disintermediation of our package management platform
- Collaborate with engineering teams to build robust APIs, SDKs, and developer tools that enable seamless AI-to-Anaconda workflows
- Work closely with our enterprise customers in regulated industries (finance, healthcare, government) to ensure our AI infrastructure meets their security and compliance requirements
- Partner with marketing and developer relations to drive adoption among the 50+ million Python developers globally
- Measure and optimize key metrics including developer adoption, enterprise package downloads, and AI tool integration usage
- Represent Anaconda at industry conferences, with partners, and in the broader AI/ML community
Requirements:
- 7+ years of product management experience, with at least 3 years focused on developer tools, infrastructure, or platform products
- Deep, hands-on experience with AI coding tools (Cursor, GitHub Copilot, Claude, etc.) and understanding of their architecture and integration points
- Proven expertise in MCP (Model Context Protocol) development, A2A protocol, agentic systems, or similar AI-to-application integration technologies
- Ability to work closely with engineering teams on API design, system architecture, and implementation trade-offs
- Experience building and managing strategic technology partnerships, particularly with developer tool companies
- Track record of driving product adoption in developer communities, with demonstrated ability to balance open-source community needs with commercial objectives
- Excellent written and verbal communication skills with the ability to articulate complex technical concepts to diverse audiences
- Deep understanding of Python ecosystem, package management, and enterprise software development workflows
- Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred
- You embody our values of Clarity, Care and Candor
- You care deeply about fostering an environment where people of all backgrounds and experiences can flourish
- Direct experience building MCP servers or working with the Model Context Protocol ecosystem
- Previous experience at AI/ML infrastructure companies or developer tools startups
- Contributions to open-source projects, particularly in the Python, AI/ML, or developer tools space
- Experience with enterprise software sales cycles and understanding of how to build products that satisfy both individual developers and enterprise procurement
- Knowledge of security, compliance, and governance requirements for AI/ML workflows in regulated industries
- Experience with or knowledge of regulated industry requirements (financial services, healthcare, government) is highly valuable
- Published thought leadership on AI development workflows, developer experience, or related topics
- Experience navigating the transition from traditional to AI-augmented development workflows
- Experience working in a fast-paced startup environment
- Experience working in an open-source, AI, or data science-oriented company