Staff Product Manager, AI Builder Experience

Responsibilities

• Own the vision, strategy, and roadmap for the MongoDB Partner Platform, beginning with the Partner API and expanding toward a scalable, self-serve partner experience.
• Translate partner and customer needs into prioritized product bets and a long-term platform strategy.
• Develop self-serve onboarding, enterprise and administrator controls, partner-managed account creation and billing, partner discovery, and integration-quality standards.
• Establish operating models for partner intake, design-partner engagement, integration support, launch readiness, documentation, incident response, and post-launch learning.
• Collaborate with engineering, IAM, billing, security, design, documentation, analytics, product marketing, sales, partnerships, and technical services.
• Work with strategic AI-native partners, cloud platforms, and customers to understand users, business models, technical constraints, and adoption drivers.
• Ensure APIs and tools are understandable to people, usable by agents, observable, secure, and resilient under automation.
• Define metrics for partner activation, integration speed and quality, end-user adoption, agentic workflows, cluster growth, and partner-influenced revenue.
• Communicate product strategy to executives, engineering teams, partners, customers, and field stakeholders.
• Represent the company externally on AI-native product development, developer ecosystems, and partner platforms.

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 ambiguity through launch, adoption, and continued evolution.
• Technical fluency in 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.
• Understanding of the differences between building for human developers and AI agents, including implications for APIs, documentation, tooling, evaluation, observability, and quality.
• Strong partner and customer judgment and the ability to translate external needs into product strategy.
• Ability to align complex organizations without direct authority and create momentum across unclear ownership and dependencies.
• Ability to balance speed, security, quality, enterprise requirements, and long-term platform health.
• Strong analytical judgment and ability to define meaningful outcomes when revenue impact is indirect or emerging.
• Excellent written and verbal communication skills.
• Enthusiasm for AI-native development and regular hands-on use of AI tools.

Nice to Have

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