Senior Data Product Manager, Internal GTM Data
MongoDB · New York, NY
- On site
- Full-time
- $266,000 / year
- New York, NY
Job highlights
- Manage internal data products for GTM teams.
- Develop data strategy and product roadmap.
- Collaborate with cross-functional teams.
- Drive product adoption and impact.
- Work with modern data ecosystems.
About the role
About the Role
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.
Responsibilities
- 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.
Requirements
- 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.
- Background in analytics, data science, or data engineering.
- Experience driving adoption of internal data products through enablement, documentation, and training.
- Familiarity with metadata management or data discoverability tools.
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—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.
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 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.
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.
Key skills/competency
- Data Product Management
- Go-to-Market (GTM) Strategy
- Data Pipelines
- Analytics Platforms
- Data Architecture
- Stakeholder Management
- Agile Methodologies
- Product Roadmapping
- Sales Enablement
- Data Governance
Skills & topics
- Data Product Manager
- Product Management
- Data Strategy
- Data Pipelines
- Analytics
- GTM
- Salesforce
- Marketing
- Customer Success
- Agile
- MongoDB
- Data Platform
- Senior Product Manager
- Data Governance
How to get hired
- Tailor your resume: Highlight 5+ years of product management, data product/platform experience, and GTM collaboration.
- Showcase data expertise: Emphasize understanding of data pipelines, analytics, and architecture.
- Demonstrate strategic thinking: Detail experience translating business needs into data products.
- Prepare for agile and stakeholder discussions: Be ready to discuss prioritization and cross-functional work.
- Research MongoDB's culture: Align your application with their focus on innovation and employee growth.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the salary range for the Senior Data Product Manager role at MongoDB?
- The base salary range for the Senior Data Product Manager position at MongoDB in the U.S. is between $136,000 and $266,000 annually. This range can vary based on factors like experience, qualifications, and location. The total compensation package also includes equity and other benefits.
- Can I apply for the Senior Data Product Manager role if I am not located in one of the specified U.S. offices?
- Yes, this Senior Data Product Manager role can be filled remotely within the United States, in addition to being based in their major U.S. offices (New York City, Austin, Palo Alto, or San Francisco) under a hybrid model.
- What are the key responsibilities of a Senior Data Product Manager at MongoDB?
- As a Senior Data Product Manager at MongoDB, you will define product vision and roadmaps for internal data products, partner with GTM teams to identify data opportunities, translate business needs into data solutions, define success metrics, and drive product delivery using agile processes.
- What specific technical skills are required for the Senior Data Product Manager position?
- Required technical skills include 5+ years of product management experience, experience building data products or platforms, a strong understanding of modern data ecosystems (data pipelines, analytics platforms, scalable data architecture), and the ability to translate technical concepts into product strategies.
- What is MongoDB's approach to work-life balance and employee well-being?
- MongoDB is committed to employee well-being and personal growth, offering a supportive culture with initiatives like employee affinity groups, generous parental leave, fertility assistance, and mental health counseling. They also offer flexible paid time off.
- How does MongoDB ensure equal employment opportunities for all applicants?
- MongoDB, Inc. provides equal employment opportunities to all employees and applicants. They prohibit discrimination and harassment and make 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 law.
- What kind of data products will I be working on as a Senior Data Product Manager at MongoDB?
- As a Senior Data Product Manager, you will build and scale internal data products that include data pipelines, datasets, dashboards, APIs, ML models, and frameworks that support analytics, AI, and business decision-making across MongoDB's GTM, Product, Technology, Finance, and HR teams.