Founding Data & Machine Learning Lead

• 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. Same approach for dental and vision
• High accountability + high flexibility culture

Keep Company is on a mission to make human connection an intentional, scalable asset in every workplace. As a venture-backed SaaS platform recognized by Techstars, Forbes, and SHRM, we blend technology with coaching and mentoring to deliver transformative, measurable employee experiences. We help organizations accelerate culture, retention, and productivity in the moments that matter most.

Keep Company is the platform for people programs, helping professional services firms build and scale the relationships that develop their people and keep top talent.

As AI transforms how work gets done, the relationships and human skills that build judgment, confidence, and performance are increasingly important to how firms develop their people and differentiate themselves. Keep Company helps firms create those relationships by design - across career stages and seasons - so they can develop their people, keep the talent who set them apart, and stay ahead as work changes.

Our configurable technology, embedded expertise, and actionable insights make it easier to build, manage, measure, and scale relationship-based programs across the firm. Organizations can use Keep Company’s platform to power their own programs - from mentoring and group coaching to peer groups and ERGs - or launch full-service programs designed and live-facilitated by our team. We combine technology that makes development easier to scale with human expertise where it matters most.

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.

Data engineering and foundations

• Own Keep Company’s analytical data foundation, including the warehouse, transformations, pipelines, data quality, and documentation.
• Establish Mother Duck 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.
• Partner with Product…