Senior Product Manager, Atlas Agent Engine

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
• 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. This matters more in an async, distributed team — writing is how you lead
• 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. In an early-stage team, this is the job

Bonus points

• 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

How we'll measure success (30/60/90 days)

We need someone who can onboard quickly and start driving impact early.

In your first 30 days, you will:

• Ramp up on MongoDB products, AI application patterns, and how our teams work
• Shadow customer calls and internal forums to learn current strategy, open questions, and key stakeholders
• Produce a clear written overview of your product area: current state, key bets, and known gaps

By 60 days, you will

• Take ownership of a set of customer relationships and run your own discovery conversations each week
• Own and socialize an initial strategy and roadmap proposal for your area, with clear problem statements and success metrics
• Partner with engineering and design to shape and drive at least one scoped initiative into execution

By 90 days, you will

• Be the go-to owner for your product area, driving prioritization and day-to-day decision-making across functions
• Lead customer- and data-informed iterations on what you’ve shipped, adjusting the roadmap based on what you’re learning
• Contribute to the broader AI application platform strategy with perspectives from your domain, customers, and the field

Why this role

MongoDB is one of the most widely adopted database platforms in the world, used by tens of thousands of customers — including much of the Fortune 100 and a fast-growing set of AI-native startups. Our cloud platform, Atlas, runs across AWS, Google Cloud, and Azure.

This role puts you at the center of how MongoDB powers AI applications at scale. You’ll own a critical slice of that story, from strategy through delivery and adoption.

About MongoDB

With offices worldwide and over 67,000 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.