Staff Product Manager, AI Builder Experience

MongoDB

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$151,000–$297,000 / yr
Posted
53 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k
This role $224k
$133k $315k
below market most similar roles pay here above market

This role pays more than 59% of similar roles. Most pay $178,606–$247,500 — the blue band above. At the midpoint, this role pays about $224k versus about $213k for comparable roles.

Based on 240 similar postings.

Employer

About MongoDB

MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.

MongoDB currently has 46 open roles on FindRole.

Listed pay typically runs $110,500–$255,000 across 40 roles with salary data.

Most-posted roles

View all roles at MongoDB

At a glance

TL;DR · Staff Product Manager, AI Builder Experience

The Staff Product Manager, AI Builder Experience joins the AI Builder Experience team to own the Partner Platform. This role involves managing the products, experiences, and operating models that enable ecosystem partners to build high-quality MongoDB experiences. You will lead the vision and roadmap for the Partner API, focusing on self-serve onboarding, enterprise controls, partner-managed billing, and marketplace discovery. Key responsibilities include turning partner needs into product bets, establishing repeatable operating models for integration support, and ensuring tools work for both human and agentic developers. You must demonstrate technical fluency in APIs, authentication, distributed systems, and data flows. The role addresses the challenge of making MongoDB the default database for AI-native software by creating reliable interfaces for coding agents and human builders within complex platform ecosystems.

What does a Product Manager earn in New York?

Median $195400 from 308 postings across 40 companies.

See salary data

What you'll do

  • Own the vision, strategy, and roadmap for the MongoDB Partner Platform and Partner API.
  • Translate partner and customer needs into clear product bets and a sequenced long-term roadmap.
  • Build features for self-serve onboarding, enterprise controls, partner-managed billing, and discovery.
  • Establish a repeatable operating model for partner intake, design-partner engagement, and launch readiness.
  • Work directly with strategic AI-native partners to understand their technical constraints and adoption levers.
  • Ensure APIs and tools are optimized for both human developers and AI agents.
  • Define and track metrics for partner activation, integration quality, and successful agentic workflows.
  • Communicate product narratives and strategy to executives, engineering teams, and external stakeholders.

What we're looking for

  • 8+ years of product management 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 in APIs, authentication, 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 (preferred).
  • Experience with partner platforms, marketplaces, developer ecosystems, cloud platforms, databases, infrastructure, or enterprise SaaS (preferred).
  • Experience with OAuth, delegated access, API governance, partner billing, provisioning, or multi-tenant product models (preferred).
  • Experience with MongoDB, developer tools, application frameworks, or data infrastructure (preferred).

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