MongoDB
Senior Data Product Manager, GTM
– MongoDB 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 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 MongoDB 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 MongoDB’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 MongoDB 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., lakehouses, 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 outcomes, tracking success metrics, and iteratively improving product impact. Comfortable working in an agile, fast‑paced environment where continuous improvement and high‑quality delivery are paramount. Able to articulate complex concepts to technical teams, non‑technical GTM stakeholders, and executives. Proven ability to align diverse groups on shared goals, priorities, and solutions. What Sets You Apart
Experience uncovering and driving insights with data science, BI, analytics, or data engineering tools to measure impact and find new business opportunities. Proven track record of creating engaging product enablement materials, such as guides, documentation, and training resources. Demonstrated passion for evangelizing technical products, datasets, frameworks, and tools while driving adoption across diverse teams. Knowledge around metadata management and its implications for long‑term discoverability. Up‑to‑date awareness of data market trends, including databases, data science advancements, and software development innovations. About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud‑native platform, MongoDB Atlas, is the only globally distributed, multi‑cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI‑native startups—MongoDB powers the next era of software. MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. If you need an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 3263226175 MongoDB’s base salary range for this role in the U.S. is: $136,000—$266,000 USD.
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– MongoDB 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 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 MongoDB 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 MongoDB’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 MongoDB 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., lakehouses, 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 outcomes, tracking success metrics, and iteratively improving product impact. Comfortable working in an agile, fast‑paced environment where continuous improvement and high‑quality delivery are paramount. Able to articulate complex concepts to technical teams, non‑technical GTM stakeholders, and executives. Proven ability to align diverse groups on shared goals, priorities, and solutions. What Sets You Apart
Experience uncovering and driving insights with data science, BI, analytics, or data engineering tools to measure impact and find new business opportunities. Proven track record of creating engaging product enablement materials, such as guides, documentation, and training resources. Demonstrated passion for evangelizing technical products, datasets, frameworks, and tools while driving adoption across diverse teams. Knowledge around metadata management and its implications for long‑term discoverability. Up‑to‑date awareness of data market trends, including databases, data science advancements, and software development innovations. About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud‑native platform, MongoDB Atlas, is the only globally distributed, multi‑cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI‑native startups—MongoDB powers the next era of software. MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. If you need an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 3263226175 MongoDB’s base salary range for this role in the U.S. is: $136,000—$266,000 USD.
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