Senior Product Manager, Growth & Developer Experience

Who We Are

The Growth team at MongoDB sits at the intersection of product, engineering, and go-to-market execution, with a singular mission: help developers and businesses discover, adopt, and scale effectively with MongoDB.

We own critical moments across the customer journey; from first touch and activation to expansion and long-term success. The work we do includes identifying high-impact opportunities, running experiments, and building experiences that measurably improve activation, engagement, and retention.

This role follows a hybrid working model in our New York City office, or can be performed remotely in the United States.

What You'll Do

As a Product Manager on the Growth team at MongoDB, you’ll own a squad focused on improving the developer experience across MongoDB Atlas. You’ll turn ambiguous growth opportunities into clear product bets and measurable business outcomes through high-impact, data-informed initiatives that help developers succeed at every stage of their journey.

We’re hiring Product Managers aligned to a Growth problem spaces: Activation

Activation focuses on enabling builders with intent to ship an application to find success on MongoDB as quickly and effectively as possible by reducing time to value, removing friction from the registration-to-activation funnel, and setting the standard for how developers onboard to Atlas.

You’ll partner closely with Engineering, Design, Data, Marketing, Sales, and Developer Relations, and you’ll be accountable for moving the metrics that matter most to MongoDB’s growth.

In this role, you will:

• Own the product strategy and roadmap for your Growth squad, defining target segments, end-to-end journeys, and experimentation plans that drive scalable, sustainable growth
• Identify and optimize key conversion moments across the Atlas lifecycle, including registration, activation, free-to-paid conversion, and multi-application adoption
• Lead the delivery of friction-reducing product experiences that accelerate developer success (e.g., streamlined onboarding, intelligent upgrade paths, developer tool integrations, improved organization/project management)
• Design, build, and iterate on digital growth mechanisms including in-app experiences, upgrade surfaces, contextual guidance, lifecycle messaging, and journey orchestration
• Define and instrument end-to-end measurement frameworks (events, funnels, cohorts) and provide ongoing insights into conversion, engagement, and retention performance
• Partner with Marketing on lifecycle campaigns and scaled programs such as Office Hours, webinars, and nurture journeys
• Collaborate with Sales and Customer Success to align digital-led growth with enterprise motions and enable seamless customer handoffs
• Drive AI-native product experiences, including integrations with AI coding assistants, agentic workflow improvements, and LLM-powered discovery and guidance
• Partner with Analytics and Data Science on targeting strategies, propensity models, experimentation design, and impact measurement
• Champion high-quality, scalable solutions with reliability, security, permissions, compliance, and organizational best practices in mind

Requirements

• 3+ years in product management for B2B SaaS (ideally PLG), with a track record of driving activation, conversion, monetization, retention, or expansion
• Background in engineering (computer science, electrical, software)
• Requires deep technical fluency in distributed database systems — The role demands hands-on understanding of MongoDB Atlas, a globally distributed, multi-cloud database architecture spanning AWS, Google Cloud, and Azure. The candidate must be able to evaluate engineering tradeoffs in areas such as database scalability, multi-region deployments, and cloud-native infrastructure — knowledge that requires a formal engineering foundation
• Demands expertise in backend systems and API-driven product development — The position involves defining and shipping features such as project cloning, user role management, org-to-project patterns, and workload templates. These are deeply technical, backend-oriented product decisions requiring the candidate to work fluently alongside software engineers on APIs and system architecture
• Requires engineering-level instrumentation and data pipeline knowledge — The role explicitly calls for end-to-end journey instrumentation, including defining event schemas, conversion funnels, and cohort views. This requires th