Senior Data Product Manager, GTM

Overview

Mongo

DB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, Mongo

DB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use Mongo

DB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust Mongo

DB to build next-generation, AI-powered applications.

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 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 Mongo

DB 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 Mongo

DB Offices for our hybrid working model.

Lead Product Strategy and Ownership

• Define product vision, strategy, and roadmap for Mongo
  
  DB’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 lake houses 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…