Senior Data Product Manager, GTM

Mongo

DB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Our Internal Data team focuses on delivering scalable, insightful data products for GTM teams (Sales, Marketing and Customer Success) to power decisions, automate workflows, and accelerate growth. This role is for a Senior Data Product Manager on a Data team that includes Data Pipeline/Platform Engineering, Data Architecture, and Data Governance.

You will build, enhance, and scale data products such as data pipelines, datasets, reports/dashboards, APIs, ML models, playbooks, and frameworks that power AI and BI for Mongo

DB employees across a growing, high-impact company.

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 with repeatable, scalable data solutions; balance quick wins with long-term innovation, including integration of modern data frameworks like lake houses and medallion data (bronze, silver, gold sets).
• Partner with GTM Teams:
  Collaborate with Sales, Marketing, Customer Success, and other GTM functions to ensure data products meet workflows; work with analysts, engineers, GTM stakeholders, and leaders to capture business processes and user needs; advocate for solutions with measurable business impact and explore the art of the possible.
• Performance and Market Analysis:
  Define metrics and KPIs; track trends in modern data platforms and analytics tooling and incorporate insights into the roadmap.
• Stakeholder Enablement:
  Create user-friendly docs, guides, and onboarding materials; partner with training and change management to drive adoption.
• Adoption and Evangelization:
  Announce new features and datasets with targeted marketing to maximize awareness and adoption; lead re-launch efforts as needed to improve adoption.
• Agile Product Management:
  Own agile processes including sprint planning, backlog grooming, and retrospectives; balance innovation with technical debt and deliver new features for GTM enablement.

Requirements

• Proven Data Product Manager with 5+ years of product management experience, including at least two years focused on data products or platforms in a modern, high-growth company.
• Experience working with GTM stakeholders (Sales, Marketing, Customer Success); strong understanding of GTM operational processes.
• Technical strength in data engineering, analytics, and data products; familiarity with modern data platforms, scalable architectures (lake houses, medallion data), and enterprise-scale tooling.
• Strategic and adaptable mindset: ability to prioritize roadmaps in line with GTM needs and long-term goals, balancing innovation with scope and timelines.
• Growth-focused: track measurable outcomes and continuously improve product impact; thrive in an agile, fast-paced environment.
• Outstanding communication: ability to articulate complex concepts to technical and non-technical audiences and align diverse groups on shared goals.

Desirable

• Experience uncovering insights with data science, BI, analytics, or data engineering tools to measure impact and opportunities; experience creating engaging product enablement materials.
• Passion for evangelizing technical products, datasets, frameworks, and tools; knowledge of metadata management and trends in data markets.

What sets you apart: you’re excited by data-driven decisions and have a track record of driving adoption across teams. You’ll be joining a fast-growing environment and collaborating with diverse stakeholders to deliver meaningful data products.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups to fertility assistance and generous parental leave, we value wellbeing and support employees on their professional and personal journeys. Learn more about what it’s like to work at Mongo

DB, and help us make an impact on the world.

Mongo

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