Data Product Manager, Finance
Austin; New York City; Palo Alto; San Francisco; United Statesonsitemanager
via Greenhouse
About this role
Who We Are
The Internal Data team powers decisions and applications across MongoDB, organized around four core business areas: CustomerGTM, Product & Technology, Finance, and EmployeeHR. We build and scale the data products MongoDB employees rely on every day, including data pipelines, datasets, dashboards, APIs, ML models, and frameworks that form the backbone of our internal data ecosystem. Our work directly enables teams to hit their KPIs, automate workflows, and build the AI and BI capabilities that drive the business forward.
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 platform. As the company continues to grow, the scope and stakes of that work grow with it.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: mongodb, aws, google cloud, teams
2
Level fit
This role is manager-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Austin; New York City; Palo Alto; San Francisco; United States. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
mongodbawsgoogle cloudteams