Senior Product Manager - AI Application Platform
Hybrid (Gurugram)full-timePosted 1mo ago
About the role
Senior individual contributor role building a core area of MongoDB's AI application platform. Owns end-to-end strategy, roadmap, delivery, and iteration, collaborating asynchronously with global teams while shaping early-stage product focused on AI applications on MongoDB.
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 and 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
- 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: 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
- Curiosity about AI: follow how companies are building AI applications — agents, orchestration frameworks, RAG, fine-tuning, or other emerging patterns
- Comfort with ambiguity: help define the problem, success metrics, and path forward in an early-stage team
Skills
Required:Product strategy and roadmapCustomer discoverycross-functional leadershipWritten communicationTechnical depthAI curiosity
Benefits
- Competitive compensation
- Healthcare benefits
- Fertility assistance
- Parental leave policy
- Culture-focused programs and employee wellbeing initiatives
Last updated Oct 15, 2026. Interested? Apply on the company site.
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