Senior Product Manager, Atlas Agent Engine
MongoDB · Posted Oct 8
Modern database platform, cloud database-as-a-service, vector search, and developer data services
Get a personal compatibility score
Add a resume for personal matches
About the role
MongoDB is building a new product team in India to help shape how customers build, deploy, and operate AI applications on MongoDB, with the engineering team being built in parallel. The role sits on the Atlas Agent Engine area of MongoDB's AI application platform, which runs across AWS, Google Cloud, and Azure. As a senior individual contributor reporting to a Director of Product Management in Europe, you will own a core area end-to-end — discovery, vision, roadmap, delivery, and iteration — working async-first with partners across India, EMEA, and North America.
What you will do
- 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.
- 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
Skills used in this role
What the employer is looking for
- 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
Preferred qualifications
- 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
Benefits and support
- Employee affinity groups
- Fertility assistance
- Generous parental leave policy
About MongoDB
MongoDB is a modern, general-purpose database platform designed to unleash the power of software and data for developers and enterprises globally. Its flagship cloud database service, MongoDB Atlas, supports flexible document models, vector search, and transactional capabilities built for modern cloud and AI-driven workloads.
- Industry
- Database Software
- Company size
- 5741 employees
- Founded
- 2007
- Location
- New York, New York, USA
- Funding stage
- Public Company
Funding
Public Company · $311M raised
- 2015-01-01Series F$80M
Leadership
President and Chief Executive Officer
Chief Financial Officer
Chief Technology Officer
Chief Customer Officer
Recent coverage
MongoDB Newsroom
MongoDB Announces Leadership Transition and Investor Day 2026 Updates2026-09-28
Market Watch / YouTube
MongoDB Unveils MongoDB 9.0 and Atlas Agent Engine at Annual Investor Day2026-09-29
MongoDB
MongoDB Completes Acquisition of Voyage AI to Boost Semantic Vector Search2025-02-15