We're building a new product team in India to help shape how customers build, deploy, and operate AI applications on MongoDB. This is an early hire on a growing team—you'll join while the team is still taking shape, with the opportunity to have real impact from the start
You'll report to a Director of Product Management based in Europe, working async-first with partners across India, EMEA, and North America. The engineering team in India is being built in parallel, so you'll be working closely with engineers from the early days of the team
We are looking to speak to candidates based in Gurugram for our hybrid working model
What you'll own You'll be the end-to-end owner for a core area of our AI application platform—from discovery and vision through roadmap, delivery, and iteration. This is a senior individual contributor role where you lead through ownership, expertise, and cross-functional influence
Day to day, that means: Defining product strategy and roadmap for your area, aligned with MongoDB's broader AI strategy and business goals Talking to customers — from AI-native startups to large enterprises — to understand how they build and deploy AI applications, where they struggle, and what MongoDB should do about it Writing clear product narratives, memos, and specs that align stakeholders, clarify trade-offs, to guide conversations with engineering, design, product marketing, etc Partnering with cross-functional stakeholders—including Engineering, Design, Product Marketing, Partners, Sales, and Developer Relations—to scope, prioritize, and ship, balancing experimentation with reliability and scale, and driving positioning, launches, and enablement Identifying new opportunities autonomously—spotting gaps, shaping problem spaces, researching industry trends and running discovery sessions with customers Define and own clear success metrics for your area and use them to prioritize, make trade-offs and communicate impact You'll develop deep expertise in how companies build AI applications — including agentic workflows, retrieval and memory, evaluation, observability, and deployment patterns
How we work Async-first. Documentation and written communication are how decisions travel across time zones Sync when it makes sense. When we need to discuss something live, we hop on a call to unbundle issues together In-person when it matters. The team gets together periodically for planning, relationship-building, and the kind of work that's better done face to face What you'll bring 5+ years in product management (or equivalent) building platforms, infrastructure, or developer-facing products — ideally in cloud, data, or AI Proven end-to-end ownership of a product area: from framing the problem and vision through roadmap, execution, launch, and iteration Cust