Staff Product Manager, AI Builder Experience

• 8+ years of product management or equivalent experience, including ownership of complex technical products, platforms, APIs, developer tools, ecosystems, or partner integrations
• Demonstrated success taking a product or platform from ambiguous opportunity through launch, adoption, and continued evolution
• Deep technical fluency: you can reason about APIs, authentication and authorization, distributed systems, platform boundaries, integrations, data flows, reliability, and security trade-offs
• Experience building products for developers, technical users, AI-native workflows, or platform ecosystems. Direct experience with AI agents, MCP, agent frameworks, agentic coding tools, or agentic developer platforms is strongly preferred
• A clear point of view on the difference between building for human developers and building for AI agents, including implications for APIs, documentation, tooling, evaluation, observability, and quality
• Strong partner and customer instincts, with experience translating external needs into a product strategy without becoming a collection of one-off feature requests
• Ability to navigate complex and growing organizations, align teams without direct authority, and create momentum when ownership and dependencies are not obvious
• Comfort balancing speed, security, quality, enterprise requirements, and long-term platform health in a fast-moving market
• Strong analytical judgment and the ability to define meaningful outcomes even when the direct revenue line is indirect or still emerging
• Excellent written and verbal communication skills; you write clear documents, make trade-offs visible, and communicate effectively from engineering working sessions to executive reviews
• Genuine enthusiasm for AI-native development and regular hands-on use of AI tools in your own work
• Experience with partner platforms, marketplaces, developer ecosystems, cloud platforms, databases, infrastructure, or enterprise SaaS
• Experience with OAuth, delegated access, API governance, partner billing, provisioning, or multi-tenant product models
• Experience with MongoDB, developer tools, application frameworks, or data infrastructure

Success Measures

Within 30 days:

• Develop a deep understanding of the current Partner API, partner pipeline, design-partner experience, dependencies, launch commitments, and known gaps
• Build strong working relationships with engineering, IAM, Billing, Security, Design, Partnerships, Docs, Analytics, Product Marketing, and the adjacent ABX PMs
• Meet key partners and customers and understand the jobs they need the Partner Platform to accomplish for humans, agents, and their businesses
• Produce a concise current-state assessment: what is working, what is fragile, what is one-off, and what must become platform capability

Within 60 days:

• Evolve the Partner Platform vision and strategy, including clear ownership boundaries with AI Interfaces and AI Frameworks
• Establish a metrics framework connecting partner integration quality and adoption to builder activation, Atlas usage, enterprise confidence, and business impact
• Deliver an aligned roadmap for the next phases of Partner API, partner onboarding, enterprise controls, and partner platform capabilities
• Identify the highest-leverage operating-model changes needed to improve partner speed, quality, and repeatability

Within 90 days:

• Drive one or more high-impact improvements that materially improve partner onboarding, integration quality, enterprise readiness, or end-user adoption
• Establish a credible plan for scaling from design partners to a broader ecosystem without relying on bespoke MongoDB-side work for every integration
• Be recognized by engineering, design, partnerships, marketing, and field teams as a trusted product leader and effective cross-functional partner
• Present a clear recommendation for the long-term Partner Platform shape, including the investments, sequencing, and trade-offs required to make MongoDB the default database for AI-native builders