Product Manager, Internal Financial Data

The Internal Data team is on a mission to power data-informed decisions and applications across MongoDB, oriented around the business areas of Customer, Product, Finance, and Employee. We build and scale the data products MongoDB employees rely on every day, including data pipelines, datasets, analytics, APIs, ML models, and frameworks that form the backbone of our internal data ecosystem.

We treat data as a product. That means applying the same rigor, user focus, and outcome orientation to internal data that MongoDB brings to its external-facing platform and products. As MongoDB scales, our financial data footprint has grown exponentially. You will inherit the challenge of providing the focus and product management needed to transform complex, high-volume consumption data into clean, compliant, and near-real-time financial products;

moving our Finance teams away from manual workflows and toward automated, AI-driven forecasting.

We are looking to speak to candidates who are based in NYC, Austin, Palo Alto, or San Francisco for our hybrid working model.

What You'll DoDrive 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. Proactively audit user workflows, enforce data trust, and relentlessly push for the right strategic technical solutions over temporary, ad-hoc 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 aggressively 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. Drive organizational change management, establish comprehensive technical documentation, and proactively lead incident resolution alongside engineering to continuously optimize system uptime

What We're Looking For3 - 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, with the ability to balance user needs, business priorities, technical direction, and delivery constraints while driving measurable impact and adoption

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, with the judgment to balance 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 work streams once priorities are aligned

Experience at top-tier software companies with consumption-based business models is a major plus About MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is 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, relying on MongoDB for…