Head of AI Platform, MongoDB
General Manager
$203-399k
Developer data platform
Be an early applicant
Developer data platform
1001+ employees
Be an early applicant
$203-399k
1001+ employees
Company mission
To empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
MongoDB is an open-source, cross-platform, document-oriented database system. It stores data as JSON-like documents and is written in C++, Go, JavaScript and Python.
Essentially, the company develops tools and blueprints to help businesses and organisations modernise their legacy applications, migrating them to the MongoDB database and the MongoDB Atlas cloud database. With this initiative, MongoDB is particularly taking aim at Oracle customers with ageing applications running on the Oracle relational database system.
Since its release, MongoDB has become one of the most popularly used NoSQL database systems due to its ease of use and efficiency. It is also the fastest-growing database ecosystem, and boasts hundreds of millions of downloads. Recently, the company announced a partnership with Patronus AI, an automated evaluation and security platform, through which it will bring automated LLM evaluation and testing capabilities to enterprise customers.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jan 2015
$80m
SERIES G
Oct 2013
$150m
SERIES F
Total funding: $311.1m
Company benefits
- Rich health insurance coverage
- Virtual & on-site fitness classes
- Health screenings & telemedicine
- Access to transgender-inclusive health insurance coverage
- Global and internal mobility opportunities
- Equity & Employee Stock Purchase Program
- Pension & retirement programs
- Income Protection
- Flexible PTO is offered to every US employee & competitive time off policies for non-US employees
- Employee Assistance Program
- Mental health counseling
- Free meditation app access
- Fertility & adoption financial assistance
- Parental counseling for new parents
- 20 weeks of fully paid gender neutral parental leave & flexible work arrangements
- 4 weeks of emergency care leave
Company HQ
Theater District, New York, NY
Leadership
Dwight Merriman
(Co-Founder)Previously CTO and Co-founder at DoubleClick for 10 years, and Chairman at AlleyCorp for 15 years.
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