Senior Data Product Manager, GTM

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 GTM teams - that is, 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, 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.

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.

We are looking to speak to candidates who are based in one of our MongoDB Offices for our hybrid working model.

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 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 — analysts, engineers, GTM teams, and senior leadership — to capture detailed business processes, user stories, and pain points
• Serve as a trusted partner and advocate for GTM 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 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

Stakeholder Enablement

• 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

Adoption and Evangelization

• 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

Agile Product Management

• 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 GTM enablement

Requirements

Proven Data Product Manager & Domain Expertise

• 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 GTM functions such as Sales, Marketing, and Customer Success is critical; strong understanding of GTM operational processes

Technical Strength & Understanding of Modern Data Architecture

• Strong technical foundation in data engineering, analytics, and data products
• Deep familiarity with modern data platforms, scalable architecture (e.g., lakehouses, medallion data), and to