Staff Product Manager, AI Builder Experience

MongoDB is a data platform company that empowers organizations to build, modernize, and scale software for the AI era. The Staff Product Manager will own the Partner Platform, including the Partner API, self-service integrations, onboarding, enterprise controls, marketplace discovery, and partner-managed experiences, while aligning cross-functional teams and strategic partners around an executable product strategy.

Responsibilities:

• Own the vision, strategy, and roadmap for the MongoDB Partner Platform, starting with the Partner API and evolving toward a scalable, self-serve industry leading partner experience
• Turn partner and customer needs into clear product bets, sequencing near-term delivery against a compelling long-term platform strategy
• Build the next phases of the Partner API, including self-serve onboarding, enterprise and administrator controls, partner-managed account creation and billing, partner discovery, and a high-quality integration bar
• Establish a repeatable operating model for partner intake, design-partner engagement, integration support, launch readiness, documentation, incident response, and post-launch learning
• Partner deeply with the Partner team, IAM, Billing, Security, Engineering, Design, Docs, Analytics, Product Marketing, Sales, and Technical Services to align all towards the cross-functional outcomes required
• Work directly with strategic AI-native partners, cloud platforms, and similar to understand their users, business models, technical constraints, and adoption levers
• Ensure the platform works for both human and agentic developers: APIs and tools must be understandable to people, usable by agents, observable, secure, and resilient under automation
• Define the metrics that show whether the platform is creating value, e.g. partner activation, time to first successful integration, integration quality, end-user adoption, successful agentic workflows, cluster growth, and partner-influenced revenue
• Create clear product narratives and communicate strategy to executives, engineering teams, partners, customers, and field stakeholders
• Represent ABX and MongoDB externally as a credible voice on AI-native product development, developer ecosystems, and partner platforms
• 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
• 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
• 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

Requirements:

• 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
• 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
• Direct experience with AI agents, MCP, agent frameworks, agentic coding tools, or agentic developer platforms is strongly preferred
• 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