About the job
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.
Responsibilities
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
Qualifications
Minimum
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
Customer obsession: you're comfortable running discovery calls, digging into workflows, and turning messy feedback into clear product decisions
Strong written and live communication: clear docs, productive meetings, confident stakeholder presentations
Technical depth sufficient to collaborate with senior engineers on distributed systems, cloud services, and AI/ML tooling, and to ask good questions when something is unclear
Curiosity about AI: you follow how companies are building AI applications — agents, orchestration frameworks, RAG, fine-tuning, or other emerging patterns
Comfort with ambiguity: you help define the problem, the success metrics, and the path forward
Preferred
Experience building developer tools, AI platforms, or MLOps/LLMOps products
Engineering background or deep experience partnering with engineering on technical products
Experience with enterprise customers on mission-critical workloads
Comfort using AI tools (e.g., Claude, Gemini, Figma Make) to move faster and amplify impact