Senior Product Manager

Mongodb · Gurugramsenior

In short

▸Liderazgo end-to-end de una área clave en la plataforma de aplicaciones de IA de MongoDB en India.
▸Trabajo híbrido en Gurugram, con enfoque asíncrono y colaboración global con equipos de EMEA y Norteamérica.
▸Oportunidad única para influir desde los primeros días en una nueva versión de producto en una empresa de alto crecimiento.

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What they ask for

✓5+ años en gestión de productos de plataformas, infraestructura o productos orientados a desarrolladores
✓Experiencia comprobada en propiedad end-to-end de un área de producto, desde visión hasta lanzamiento e iteración
✓Obsesión por el cliente: capacidad de realizar discovery, analizar flujos y transformar retroalimentación en decisiones
✓Comunicación escrita y verbal sólida, clave en entornos asíncronos
✓Profunda comprensión técnica para colaborar con ingenieros en sistemas distribuidos, servicios en la nube y herramientas de IA/ML
✓Capacidad para operar con ambigüedad: definir problemas, métricas de éxito y camino a seguir en etapas tempranas

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MongoDBAI applicationsplatformclouddatadeveloper-facing productsdistributed systemscloud servicesAI/ML toolingLLMOps

Who should you write to at Mongodb?

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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 partne

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