Senior Product Manager

Навыки

• AWS
• Azure
• Распределённые системы
• Figma
• Google Cloud
• Лидерство
• Machine Learning

О компании и продукте

• 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
• 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.

Задачи

• 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
• You'll develop deep expertise in how companies build AI applications — including agentic workflows, retrieval and memory, evaluation, observability, and deployment patterns

Требования

• 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

Будет плюсом

• 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

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