Senior Product Manager, MongoDB

• 5+ years of hands-on product management experience, with at least two years focused on data products or platforms at a modern, fast-paced, high-growth company
• Experience with stakeholders in advanced engineering organizations is critical; strong understanding of software development lifecycle processes
• Strong technical foundation in data engineering, analytics, and data products
• Deep familiarity with modern data platforms, scalable architecture (e.g., lakehouses, medallion data), and tools that operationalize insights at enterprise scale
• Proven ability to prioritize roadmaps in line with P&T operational needs and long-term goals, driving innovation while managing trade-offs with scope, resources, and timelines
• Adaptable and resourceful problem-solver who tackles challenges independently and escalates only when absolutely necessary
• Expertise in identifying measurable outcomes, tracking success metrics, and iteratively improving product impact
• Comfortable working in an agile, fast-paced environment where continuous improvement and high-quality delivery are paramount
• Able to articulate complex concepts to a variety of audiences, from technical teams to non-technical P&T stakeholders and executives
• Proven ability to align diverse groups on shared goals, priorities, and solutions

Desirable

• Our Internal Data team is on a mission to power decisions and applications across MongoDB, oriented around the business areas of GTM, Product & Technology, Finance and HR
• With this role, we are focusing on delivery of scalable, insightful, and impactful data products for our Product and Technology (P&T) teams - the org that builds MongoDB products for our external customers
• These products drive smarter decisions, automate workflows, enable AI agents and deliver actionable insights that accelerate growth
• If shaping the future of data-as-a-product excites you, then this opportunity is for you
• As a Senior Data Product Manager on our Data team — which includes Data Pipeline/Platform Engineering, Data Architecture, and Data Governance — you will lead efforts to build, enhance, and scale the data products MongoDB employees use every day across a growing, high-impact company
• You’ll deliver data products like data pipelines, datasets, reports/dashboards, APIs, ML models, playbooks, and frameworks while enhancing more traditional data management tools/services to power both AI and BI
• These data products form the backbone of our internal data ecosystem and are instrumental in empowering teams to achieve their KPIs and innovate faster
• In this role you will also have the opportunity to drive the vision and strategy for internal data as a product, with a focus on telemetry and product adoption/engagement/churn signals
• By developing tools and systems that provide deep insights into how customers use or don’t use MongoDB’s products, you will empower teams to understand customer behaviors and improve the end-user experience
• The goal is to enable data-driven decisions that enhance product design, drive customer value, and fuel innovation across the MongoDB portfolio
• Define product vision, strategy, and roadmap for MongoDB’s Data teams and products
• Evangelize the importance of data-as-a-product by creating repeatable and scalable data solutions tailored to business needs
• Balance quick wins for immediate needs with longer-term innovation aligned with strategic goals, particularly integrating modern data frameworks such as lakehouses and medallion data architecture (bronze, silver, gold sets)
• Collaborate deeply with P&T teams to ensure data products address their unique challenges and workflows
• Work closely with diverse personas — analysts, engineers, P&T teams, and senior leadership — to capture detailed business processes, user stories, and pain points
• Serve as a trusted partner and advocate for P&T stakeholders by prioritizing solutions that have direct, measurable business impact, as well as driving the “art of the possible”
• Define metrics and KPIs to measure success and iterate on continuous improvement
• Track innovation and emerging trends in modern data platforms, scalable data engineering, and advanced analytics tooling, integrating these insights into the roadmap to maintain cutting-edge capabilities
• Build user-friendly documentation, guides, and onboarding materials for data products to drive adoption and ensure ongoing literacy in using product features effectively
• Partner with training teams and change management functions to ensure teams successfully integrate new data tools and features into their workflows
• Announce new product features, datasets, and tools with tailored product marketing strategies to maximize awareness and adoption across MongoDB teams
• Champion the value of data products in solving business questions; lead re-launch efforts as necessary to reinvigorate flagging adoption and spotlight transformative benefits
• Own and drive agile processes, including sprint planning, backlog grooming, and retrospectives, to ensure timely, high-quality product delivery
• Balance innovation with tackling tech debt while delivering new features, particularly focusing on datasets, pipelines, frameworks, and tools for user enablement