About this role
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.
This role can be based out of our Palo Alto, San Francisco, or New York City office or remotely in the East Coast region.
Responsibilities
Lead Product Strategy and Ownership
• 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)
Partner with Product and Technology (P&T) Teams
• 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”
Performance and Market Analysis
• Define metrics and KPI