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MongoDB

Head of AI Platform, GM

Leads development, scaling, and business ownership of MongoDB's AI Applications Platform as GM, owning P&L, R&D teams (Engineering, Product, Design), and strategy from 0-to-1. Requires 10+ years in cloud platforms, deep AI expertise, and experience leading 100+ person organizations.

203k – 399kNew York, NYSan Francisco, CAEngineering ManagementRemote10+ YOE
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About the role

Responsibilities

  • Product Vision & Execution: Own the roadmap and delivery of the AI Platform. Take the product from its current state to a market-leading, developer-first platform.
  • Business Ownership: Own the P&L for the business unit. Manage the budget for R&D, infrastructure/inference costs, and headcount planning.
  • R&D Leadership: Build and lead a distributed high-performance R&D organization. Manage Engineering, Forward Deployed Engineering, Product Management, and Product Design, fostering a culture of rapid iteration and technical excellence.
  • AI Strategy: Build the technical vision for the area, and lead technologists and product managers to document and evangelize the strategy with internal and external customers.
  • Go-to-Market Partnership: Collaborate with Partnerships, Sales and Marketing to define our GTM motion.
  • Customer Evangelism: Act as the "technical face" of the product for strategic customers, partners, and the open-source community.

Requirements

  • Entrepreneurial Track Record: Experience as a founder, early-stage employee, or "0-to-1" leader within a larger tech company. Experience building and launching a software product from scratch.
  • Technical Depth in AI: Deep understanding of the AI landscape. Familiar with AI frameworks, foundation models, embeddings and vector databases.
  • Cloud & Platform Expertise: 10+ years of experience building scalable Cloud/SaaS products, enterprise infrastructure software or developer platforms (APIs, SDKs, or infrastructure tools).
  • Leader of Leaders: Proven experience managing managers and leading cross-functional organizations of 100+ people.
  • Product-Led Mindset: A "product-hacker" mentality. Prioritize shipping and learning over perfection, but understand the reliability requirements of enterprise-grade software.
  • Strategic Communication: Ability to distill complex technical concepts (e.g., multi-layered AI governance or inference optimization) into compelling narratives for customers and executives.
  • MongoDB experience is a plus

Compensation

Base salary range: $203,000—$399,000 USD. Additional benefits include equity, employee stock purchase program, flexible PTO, parental leave, 401(k), and health benefits.

Skills

Ai FrameworksFoundation ModelsEmbeddingsVector DatabasesCloud PlatformsSaas ProductsAPIsSDKsMulti-Agent OrchestrationModel Context Protocol

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