Product Manager, Internal Financial Data
We are looking for candidates based in NYC, Austin, Palo Alto, or San Francisco for our hybrid working model.
About the role
The Internal Data team powers data-informed decisions and applications across MongoDB, focusing on Customer, Product, Finance, and Employee business areas. We build and scale data products—pipelines, datasets, analytics, APIs, ML models, and frameworks—that form the backbone of our internal data ecosystem. We treat data as a product, applying the same rigor and user focus as MongoDB does to its external-facing platform.
As MongoDB scales, our financial data footprint has grown exponentially. You will lead the product management effort to transform complex, high-volume consumption data into clean, compliant, and near-real-time financial products, shifting Finance teams from manual workflows to automated, AI-driven forecasting.
Responsibilities
- Drive the end-to-end product vision, strategy, and roadmap for critical data products that power company-wide financial planning, forecasting, spend efficiency, and operational rigor
- Navigate ambiguity and shape requirements by partnering deeply with Finance leadership to unpack complex, unformed business problems
- Proactively translate high-level financial strategies into concrete data requirements, technical frameworks, and user stories
- Lead cross-functional squads to design, build, and deploy robust pipelines, datasets, dashboards, APIs, and frameworks
- Champion underlying data management tools that serve as the foundational engine for AI and BI across the enterprise
- Act as the ultimate advocate for the voice of the data consumer by proactively auditing user workflows, enforcing data trust, and pushing for strategic technical solutions over temporary fixes
- Ruthlessly prioritize the product backlog, breaking down massive, ambiguous data initiatives into well-scoped, high-value increments
- Direct agile delivery from sprint planning through to release while managing cross-functional dependencies
- Establish and track aggressive success metrics focused on product adoption, system usability, data accuracy, and quantifiable business value
- Own the data lifecycle from deployment to adoption, driving organizational change management, establishing comprehensive technical documentation, and leading incident resolution to optimize system uptime
Requirements
- 3–5 years of strong, technical Product Management experience, specifically managing data-as-a-product
- Direct experience partnering with Finance teams on planning, forecasting, and reporting workflows
- Deep familiarity with modern data architecture, including lakehouse and medallion models
- Strong product judgment and an outcomes-oriented mindset, balancing user needs, business priorities, technical direction, and delivery constraints
- Hands-on experience with ERPs and core finance systems, with a strong understanding of journal entries, AR/AP, and aging schedules
- Familiarity with FP&A and Workforce Planning (WFP) ecosystems
- Experience handling sensitive data and SOX compliance, balancing risk controls with velocity
- Strong communication skills, with a track record of providing clear product visibility to both technical and non-technical stakeholders
- High autonomy, with the ability to take full ownership of workstreams once priorities are aligned
- Experience at top-tier software companies with consumption-based business models is a plus
About MongoDB
MongoDB is built for change, empowering customers and employees to innovate at the speed of the market. We’ve redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. Our unified data platform, the most widely available globally distributed data platform, helps organizations modernize legacy workloads, embrace innovation, and unleash AI.
Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers—including 75% of the Fortune 100 and AI-native startups—we’re powering the next era of software.
Benefits
- Equity and 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
- Comprehensive health benefits offerings
Pay
MongoDB’s base salary range for this role in the U.S. is $108,000–$212,000 USD.