Our Internal Data team powers decisions and applications across MongoDB, supporting teams in Go-to-Market (GTM), Product and Technology, Finance, and HR. For this role, we are focused on building scalable and impactful data-as-a-product solutions for Sales, Marketing, and Customer Success. These products help teams make smarter decisions, automate workflows, enable AI-driven applications, and uncover insights that accelerate growth.

• This role can be based in one of our major U.S. offices (New York City, Austin, Palo Alto, or San Francisco) under our hybrid working model, or remotely within the United States.

As a Senior Data Product Manager, you will work closely with our Data Pipeline, Platform Engineering, Data Architecture, and Data Governance teams to build and scale the internal data products MongoDB teams rely on every day. These products include data pipelines, datasets, dashboards, APIs, ML models, and frameworks that power analytics, AI, and business decision-making across the company.

• This role is ideal for someone who thrives in fast-growing environments, understands the operational needs of GTM teams, and has experience building modern data platforms and products.

• Define and drive the product vision, strategy, and roadmap for internal data products that support GTM teams
• Partner closely with Sales, Marketing, and Customer Success teams to identify opportunities where data can improve decision-making and operational efficiency
• Work with engineers, analysts, and business stakeholders to translate business needs into scalable data products such as datasets, pipelines, dashboards, and APIs
• Define success metrics and use data to continuously improve product adoption and impact
• Drive delivery through agile processes including backlog prioritization, sprint planning, and cross-functional coordination

Promote adoption of new data products through clear documentation, enablement, and stakeholder engagement

• 5+ years of product management experience, including experience building or managing data products or data platforms
• Experience partnering with GTM organizations such as Sales, Marketing, or Customer Success
• Strong understanding of modern data ecosystems, including data pipelines, analytics platforms, and scalable data architecture
• Ability to translate complex technical concepts into clear product strategies and user-focused solutions
• Strong prioritization and execution skills in fast-paced, cross-functional environments
• Excellent communication and stakeholder management skills
• Nice to Have
• Experience working with modern data platforms such as lakehouse or medallion-style architectures
• Familiarity with metadata management or data discoverability tools
• About MongoDB
• With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
• Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
• MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

• Background in analytics, data science, or data engineering Experience driving adoption of internal data products through enablement, documentation, and training

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.

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 a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world!

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 is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $136,000 — $266,000 USD