Mongo is seeking a Head of AI Platform, GM to lead the development and scaling of a new AI Applications Platform. With millions of developers trusting MongoDB for their workloads, MongoDB is building the future to enable them to create, deploy and manage AI Applications at enterprise scale. As GM you will own the business, vision and execution of this Platform.

This is a unique "intrapreneurial" role where you will act as the CEO of the product line. You will own the end-to-end success of the platform, with direct responsibility over the R&D organization (Engineering, Product, and Design).

As the VP & GM, you will lead the transition from 0 to 1—defining the technical architecture, building a world-class team of engineers and product thinkers, and scaling the platform to support thousands of customers building production-grade AI applications. You are someone who can debate the nuances of multi-agent orchestration and Model Context Protocol (MCP) in the morning, and present a three-year commercial growth strategy to the board in the afternoon.

This role can be based in our San Francisco and New York City offices or remotely in the United States.

Responsibilities

• Product Vision & Execution (0 to Scale): 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. You will 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. You must have experience building and launching a software product from scratch.
• Technical Depth in AI: Deep understanding of the AI landscape. You should be 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. You 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

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, 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, 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, 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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273415485

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:

$203,000—$399,000 USD