Senior Data Product Manager, Product Telemetry
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 ( &T) teams
What this role actually needs.
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 ( &T) teams Responsibilities: - 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 &T teams to ensure data products address their unique challenges and workflows - Work closely with diverse personas — analysts, engineers, &T teams, and senior leadership — to capture detailed business processes, user stories, and pain points - Serve as a trusted partner and advocate for &T stakeholders by prioritizing solutions that have direct, measurable business impact, as well as driving the “art of the possible” Requirements: - 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 &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 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 Company context: MongoDB is the public document database company powering modern applications across cloud, on-prem, and edge.
Day-to-day expectations
Mongodb lists these responsibilities for the Senior Data Product Manager, Product Telemetry role.
- 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 &T teams to ensure data products address their unique challenges and workflows
- Work closely with diverse personas — analysts, engineers, &T teams, and senior leadership — to capture detailed business processes, user stories, and pain points
- Serve as a trusted partner and advocate for &T stakeholders by prioritizing solutions that have direct, measurable business impact, as well as driving the “art of the possible”
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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 &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
Why people would want this job
Mongodb published these compensation, benefits, or working-context details with the role.
- 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
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Source: mongodb.com · Source ID: 7428476 · Confidence: 90/100 · Last checked: May 7, 2026
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