Mongodb Senior Software Engineer, Server Security at MongoDB focuses on owning the vision, strategy, and roadmap for the MongoDB Partner Platform. The role involves building the Partner API and enabling scalable, self-serve partner experiences.
Responsibilities
AI Builder Experience (ABX) is MongoDB’s front door for the agentic era. We help human developers and coding agents discover, evaluate, and choose MongoDB, and we make MongoDB work naturally inside the AI-native tools, frameworks, and platforms where software is being built.
We are looking for an outstanding Staff Product Manager to own the Partner Platform: the products, experiences, and operating model that allow ecosystem partners to build trusted, high-quality MongoDB experiences for their users. This includes the Partner API and the broader path toward self-serve integrations, partner onboarding, enterprise controls, marketplace/discovery, and partner-managed experiences.
This is a role at the intersection of humans, machines, and partners. Human builders increasingly work through AI agents; AI agents need reliable interfaces, context, permissions, and tools; and partners determine where those experiences are discovered and adopted. You will make those three parts work together so MongoDB becomes the obvious database choice wherever AI-native software is created.
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
Qualification
Deep technical fluencyStrong partner and customer instinctsComfort balancing speedExperience with partner platformsExperience with OAuthExperience with MongoDBSuccess Measures
Required
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
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
Success Measures
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
