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Senior Data Product Manager, GTM

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: MongoDB
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Senior Data Product Manager, GTM – MongoDB

Our Internal Data team is on a mission to power decisions and applications across Mongo

DB, oriented around the business areas of GTM, Product & Technology, Finance and HR. With this role, we focus on the delivery of scalable, insightful, and impactful data products for GTM teams – Sales, Marketing and Customer Success.

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, 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 data products Mongo

DB employees use every day across a growing, high‑impact company. You’ll deliver data pipelines, datasets, reports/dashboards, APIs, ML models, playbooks, and frameworks while enhancing more traditional data management tools and 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.

This role is perfect for someone who thrives in a high‑growth, fast‑paced environment, understands the operational needs of GTM teams, and has hands‑on experience managing modern, scalable data platforms like those leveraging medallion data and lakehouse architectures.

Responsibilities
  • Lead Product Strategy and Ownership – Define product vision, strategy, and roadmap for Mongo

    DB’s Data teams and products; evangelize data‑as‑a‑product by creating repeatable and scalable data solutions tailored to business needs; balance quick wins for immediate needs with long‑term innovation aligned with strategic goals.
  • Partner with GTM Teams – Collaborate deeply with GTM teams (Sales, Marketing, Customer Success, etc.) to ensure data products address their unique challenges and workflows; work closely with diverse personas to capture detailed business processes, user stories, and pain points; serve as a trusted partner and advocate for GTM stakeholders by prioritizing solutions with direct, measurable business impact.
  • Performance and Market Analysis – 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.
  • Stakeholder Enablement – Build user‑friendly documentation, guides, and onboarding materials for data products; partner with training teams and change management functions to ensure teams successfully integrate new data tools and features into their workflows.
  • Adoption and Evangelization – Announce new product features, datasets, and tools with tailored product marketing strategies to maximize awareness and adoption across Mongo

    DB teams; champion the value of data products in solving business questions; lead re‑launch efforts to reinvigorate adoption.
  • Agile Product Management – Own and drive agile processes, including sprint planning, backlog grooming, and retrospectives; balance innovation with tackling tech debt while delivering new features, especially datasets, pipelines, frameworks, and tools for GTM enablement.
Requirements
  • 5+ years of hands‑on product management experience, at least two years focused on data products or platforms at a modern, fast‑paced, high‑growth company.
  • Experience with stakeholders in GTM functions such as Sales, Marketing, and Customer Success is critical; strong understanding of GTM operational processes.
  • Strong technical foundation in data engineering, analytics, and data products.
  • Deep familiarity with modern data platforms, scalable architecture (e.g., lake houses, medallion data) and enterprise‑scale tools.
  • Proven ability to prioritize roadmaps in line with GTM operational needs and long‑term goals, managing trade‑offs with scope, resources, and timelines.
  • Adaptable and resourceful problem‑solver who tackles challenges independently and escalates only when necessary.
  • Expertise in identifying measurable…
Position Requirements
10+ Years work experience
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