Brass Tacks Remote - ideally East Coast. Able and willing to travel to our Bethesda HQ monthly. $140K base Meaningful equity in our early-stage, venture-backed company We pay 100% of the premium for two UHC Gold plans and 50% for your dependents. Backed by Techstars.
About the role
You will own how data moves through Keep Company: from source systems and product events to clean, trusted, member-centric datasets, reporting, and early predictive use cases. You will partner closely with Product and Engineering to define the signals we should capture, build the infrastructure that makes those signals usable, and evaluate where models can improve matching, recommendations, and intervention decisions. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Own Keep Company’s analytical data foundation, including the warehouse, transformations, pipelines, data quality, and documentation
- Establish MotherDuck as a reliable analytical source of truth, including dbt models, source definitions, and durable datasets for internal and in-product use
- Partner with Engineering to improve how product, program, survey, HRIS, import, and coach data is collected, structured, and maintained
- Build and maintain pipelines across current inputs, including WorkOS/HRIS integrations, CSV imports, surveys, forms, and platform activity
- Bring historical data into a clean, member-centric structure that connects attendance, registrations, survey responses, coaching inputs, relationship activity, and outcomes
- Define and maintain a shared taxonomy for constructs, questions, scales, programs, cohorts, and other historical data that is currently inconsistent
More about this role
The Role
This is Keep Company’s first dedicated data hire. It is a hands-on build role: initially weighted toward data engineering and analytics infrastructure, with meaningful ownership of model development, evaluation, and strategy as the foundation matures.
You will own how data moves through Keep Company: from source systems and product events to clean, trusted, member-centric datasets, reporting, and early predictive use cases.
You will partner closely with Product and Engineering to define the signals we should capture, build the infrastructure that makes those signals usable, and evaluate where models can improve matching, recommendations, and intervention decisions.
The first phase of the role will be primarily focused on the foundations: pipelines, data modeling, instrumentation, data quality, and reusable reporting. Over time, you will lead the strategy and development of models that help Keep Company identify risks, improve relationship outcomes, and make more useful recommendations.
What You'll Own
Data engineering and foundations
- Own Keep Company’s analytical data foundation, including the warehouse, transformations, pipelines, data quality, and documentation.
-...
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