Senior Product Manager, Atlas Agent Engine

Role overview

Senior Product Manager, Atlas Agent Engine at MongoDB

<h3>Why this role</h3>

Responsibilities

• You’ll own a critical slice of that story, from strategy through delivery and adoption.</p>

Employment details

• Location: Gurugram

Application details

• <p>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.
• <li>Contribute to the broader AI application platform strategy with perspectives from your domain, customers, and the field</li>

About the employer

• <p>We're building a new product team in India to help shape how customers build, deploy, and operate AI applications on MongoDB.
• <li>Defining product strategy and roadmap for your area, aligned with MongoDB's broader AI strategy and business goals</li>
• The team gets together periodically for planning, relationship-building, and the kind of work that's better done face to face</li>
• <p>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.
• <p>MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market.
• Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.</p>
• <p>Our compass at MongoDB is our <a href="https://www.mongodb.com/company">Leadership Commitment,</a> guiding how and why we make decisions, show up for each other, and win.

Benefits

• <p>To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. <a href="https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb">From employee affinity groups, to fertility assistance and a generous parental leave policy</a>, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.<a href="https://www.mongodb.com/blog/channel/culture"> Learn more about what it’s like to work at MongoDB</a>, and help us make an impact on the world!</p>

Additional role details

• 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.</p>
• <p>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.</p>
• <p>We are looking to speak to candidates based in Gurugram for our hybrid working model.</p>
• <h3>What you'll own</h3>
• This is a senior individual contributor role where you lead through ownership, expertise, and cross-functional influence.</p>
• <p>Day to day, that means</p>
• <ul>
• <li>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</li>
• <li>Writing clear product narratives, memos, and specs that align stakeholders, clarify trade-offs, to guide conversations with engineering, design, product marketing, etc</li>
• <li>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</li>
• <li>Identifying new opportunities autonomously—spotting gaps, shaping problem spaces, researching industry trends and running discovery sessions with customers</li>
• <li>Define and own clear success metrics for your area and use them to prioritize, make trade-offs and communicate impact</li>
• </ul>
• <p>You'll develop deep expertise in how companies build AI applications — including agentic workflows, retrieval and memory, evaluation, observability, and deployment patterns.</p>
• <h3>How we work</h3>
• <li>Async-first.
• Documentation and written communication are how decisions travel across time zones</li>
• <li>Sync when it makes sense.
• When we need to discuss something live, we hop on a call to unbundle issues together.</li>
• <li>In-person when it matters.
• <h3>What you'll bring</h3>
• <li>5+ years in product management (or equivalent) building platforms, infrastructure, or developer-facing products — ideally in cloud, data, or AI</li>
• <li>Proven end-to-end ownership of a product area: from framing the problem and vision through roadmap, execution, launch, and iteration</li>
• <li>Customer obsession: you're comfortable running discovery calls, digging into workflows, and turning messy feedback into clear product decisions</li>
• <li>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</li>
• <li>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</li>
• <li>Curiosity about AI: you follow how companies are building AI applications — agents, orchestration frameworks, RAG, fine-tuning, or other emerging patterns</li>
• <li>Comfort with ambiguity: you help define the problem, the success metrics, and the path forward.
• In an early-stage team, this is the job</li>
• <h3>Bonus points</h3>
• <li>Experience building developer tools, AI platforms, or MLOps/LLMOps products</li>
• <li>Engineering background or deep experience partnering with engineering on technical products</li>
• <li>Experience with enterprise customers on mission-critical workloads</li>
• <li>Comfort using AI tools (e.g., Claude, Gemini, Figma Make) to move faster and amplify impact</li>
• <h3>How we'll measure success (30/60/90 days)</h3>
• <p>We need someone who can onboard quickly and start driving impact early.</p>
• <p>In your first 30 days, you will:</p>
• <li>Ramp up on MongoDB products, AI application patterns, and how our teams work</li>
• <li>Shadow customer calls and internal forums to learn current strategy, open questions, and key stakeholders</li>
• <li>Produce a clear written overview of your product area: current state, key bets, and known gaps</li>
• <p>By 60 days, you will</p>
• <li>Take ownership of a set of customer relationships and run your own discovery conversations each week</li>
• <li>Own and socialize an initial strategy and roadmap proposal for your area, with clear problem statements and success metrics</li>
• <li>Partner with engineering and design to shape and drive at least one scoped initiative into execution</li>
• <p>By 90 days, you will</p>
• <li>Be the go-to owner for your product area, driving prioritization and day-to-day decision-making across functions</li>
• <li>Lead customer- and data-informed iterations on what you’ve shipped, adjusting the roadmap based on what you’re learning</li>
• Our cloud platform, Atlas, runs across AWS, Google Cloud, and Azure.</p>
• <p>This role puts you at the center of how MongoDB powers AI applications at scale.
• <h3>About MongoDB</h3>
• We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software.
• MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI.
• <p>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.</p>
• It’s what makes us MongoDB. </p>
• <p>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.</p>
• <p>MongoDB is an equal opportunities employer.</p>
• <p><em>Req ID- 2273506592</em></p>