---
title: 'Staff Product Manager, AI Builder Experience at MongoDB'
canonical: 'https://feeny.ai/job/staff-product-manager-ai-builder-experience-mongodb-toronto-gs6250x3353r'
type: 'job'
last_seen: '2026-09-06'
---

# Staff Product Manager, AI Builder Experience at MongoDB

- **Company:** MongoDB
- **Location:** Toronto, Canada
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-06
- **Apply:** https://www.mongodb.com/careers/job/?gh_jid=8129887

## Job description

## The Role

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.

The role is highly cross-functional and highly visible. You will work with engineering, design, IAM, billing, security, documentation, analytics, product marketing, partnerships, field teams, and strategic customers and partners. You will be expected to operate as both a strategic product leader and a hands-on builder who can turn an ambiguous ecosystem opportunity into a clear product vision, strategy, and an executable roadmap.

## What You’ll Do

- 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

## What We’re Looking For

- 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

## Nice to Have

- 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

## About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our [Leadership Commitment,](https://www.mongodb.com/company) guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. [From employee affinity groups, to fertility assistance and a generous parental leave policy](https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb), we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.[Learn more about what it’s like to work at MongoDB](https://www.mongodb.com/blog/channel/culture), and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 3273520423

## About MongoDB

## Company Overview
- **One-liner**: MongoDB provides a modern, multi-cloud data platform that enables organizations to build, deploy, and run data-intensive applications at scale.
- **Entity Type**: Public (NASDAQ: MDB)
- **Headquarters**: New York, USA
- **Founded**: 2007 (as 10gen; renamed MongoDB in 2013)
- **Founders**: Dwight Merriman, Eliot Horowitz, Kevin Ryan

## Core Business
- **Primary industry**: Database software and data platform (document-oriented NoSQL, multi-cloud, AI‑ready)
- **Target customers**: B2B – enterprises, SMBs, and individual developers; also B2C via embedded applications
- **Mission**: “Unleash the power of software and data” [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]

## Products & Services
- **MongoDB Atlas** – Fully managed, multi-cloud database service (AWS, Azure, GCP) with built‑in analytics, serverless, and vector search capabilities. [[mongodb.com](https://www.mongodb.com/)]
- **MongoDB Enterprise Advanced** – Self‑managed database for on‑premises or private cloud deployments, with enterprise‑grade security and support.
- **MongoDB Community Server** – Free, open‑source document database for development and small‑scale production.
- **MongoDB Atlas Search & Vector Search** – Integrated search and AI‑driven vector capabilities on the same data platform.
- **MongoDB Realm / Device Sync** (legacy) – Mobile and edge data synchronization (superseded by Atlas Device SDKs).

## Market Standing
- **Valuation/Market Cap**: Not publicly available from provided sources (publicly traded; refer to stock exchange data).
- **Key Metric**: Annual revenue – reported in SEC filings (10‑K for fiscal year ended January 31, 2025) [[investors.mongodb.com](https://investors.mongodb.com/static-files/2e35ada9-36d6-4ea2-a03a-bbba3b559770)].
- **Notable Investors/Partners**: 1,000+ technology and service partners; over 67,000 customers across industries [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)].
- **Growth Signals**:
  - 5,550 total employees (as of mid‑2026) [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)]
  - 175,000+ builders (developers) joining the platform every month [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]
  - Named “Best Place to Work in 2026” by Built In (Large Companies) [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)]
  - Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Cloud Database Management Systems (4th consecutive year) [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]

## Competitive Advantages
- **Document model flexibility** – Schema‑less design allows rapid iteration and handling of diverse data types.
- **Multi‑cloud native** – Same developer experience across AWS, Azure, and GCP, reducing lock‑in.
- **Developer‑centric ecosystem** – Rich drivers, tools (Compass, Shell, VS Code extension), and a large community.
- **AI‑ready platform** – Native vector search and retrieval‑augmented generation (RAG) capabilities for generative AI workloads.
- **Strong partner & customer base** – Thousands of partners and a massive installed base (67k+ customers) create network effects.

## Strategic Focus
- **AI and vector workloads** – Deepening support for AI/ML use cases (vector search, RAG, Atlas for generative AI).
- **Hybrid and flexible work** – Offering in‑office, flexible (1–2 days per week), fully remote, and customer‑facing remote models to attract top talent [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Sustainability** – Reducing waste and carbon footprint (e.g., 58% waste reduction in FY24, 100% LED office lighting) [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)].
- **Developer education & ecosystem growth** – Expanding free tier, certifications, and community programs to drive platform adoption.

## Why Work Here
- **Culture & values**: Guided by principles like “Build Together,” “Make it Matter,” “Own What You Do,” and “Be Intellectually Honest” [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Inclusion**: Active Diversity, Equity & Inclusion programs and Employee Resource Groups (e.g., Veterans ERG) [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Flexible work models**: Options for in‑office, flexible hybrid, fully remote, and customer‑facing remote; 14 offices globally [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)].
- **Benefits**: Competitive compensation, plus benefits across four pillars – physical, emotional, financial, and family & community [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Career growth**: Leadership development programs, mentorship for students/graduates, and a “think big, go far” ethos.

## Sources
1. [MongoDB Careers Page](https://www.mongodb.com/company/careers)
2. [MongoDB About Page](https://www.mongodb.com/company?jmp=footer)
3. [MongoDB Homepage](https://www.mongodb.com/)
4. [MongoDB 10‑K (March 2025)](https://investors.mongodb.com/static-files/2e35ada9-36d6-4ea2-a03a-bbba3b559770)
5. [MongoDB Culture on Built In](https://builtin.com/company/mongodb/faq/culture-values)

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