Job Opportunities API

  About J2 Health J2 Health is transforming how healthcare organizations design and manage provider networks—one of the most critical yet overlooked levers in delivering high-value care. Today, both consumers and payers struggle to identify the right doctors due to fragmented data and manual processes. J2’s platform combines best-in-class data with purpose-built software to help healthcare organizations build smarter networks that meet patients’ medical and personal needs. We’re a mission-driven team of healthcare insiders, data experts, and technologists—backed by leading investors like Tiger Global and Primary Ventures—building a product that’s already delivering real value to customers. At J2, you’ll work alongside a high-performing, collaborative team in an environment where people have real ownership, meaningful agency, and the ability to shape what we build. We’re taking a thoughtful, nimble approach to growth as we scale a real business solving a real problem in healthcare.   About the Role     We're hiring a Principal-level data leader to own and build J2's provider-data "recommendation engine" — the part of our product that recommends contracting leads to health insurers, and distills a single source-of-truth provider dataset out of noisy, conflicting, multi-source data. This is a foundational role for the function. You'll set the vision for how J2 turns messy provider data into trustworthy, customer-facing data products; you'll be hands-on building it from day one; and you'll grow and lead the team behind it as it scales. The center of the job is judgment: looking at conflicting data and reasoning, fast and iteratively, toward an answer that makes sense to a real person. There's significant room to expand the surface area from here, for example, validating a customer's own provider data against J2's source of truth and flagging the records most likely to be wrong. This is a high-agency seat. We'll give you the problem and the leverage; you'll decide how to solve it and ship. What you'll own The provider-data recommendation engine end to end, from the conceptual model of "what is true about this provider" through to the recommendations customers act on Distilling a source-of-truth provider dataset from many noisy, disagreeing sources, and being accountable for whether the output is right and useful , not just whether the pipeline runs Bringing LLMs to bear on ambiguous data-judgment problems, directing AI coding tools to do the building so you and your PM partner can spend your energy on the hard judgment calls Shipping iteratively and putting data products in front of customers, then sharpening them based on what actually drives value Building and leading the function over time, hiring behind you and scaling a team as the work grows What success looks like First few months: you're hands-on-keys and shipping. You've built a working point of view on the source-of-truth model and put early recommendations in front of customers. Within the year: the recommendation engine is a real, trusted product surface; you've validated at least one adjacent expansion (e.g. customer-data validation); and you've begun building the team behind you. About You If the following capabilities describe you, you could be a strong fit for this role. What you know A strong, opinionated point of view on how to apply LLMs to ambiguous data-judgment problems Deep familiarity with the realities of messy, multi-source data and what it takes to reconcile it into something trustworthy Enough business and product context to connect data work to customer value Knowledge and experience with our Tech stack is relevant but not gating, conceptual skills matter more than any particular stack. What we use today: strong Python , dbt , Postgres and LLM frameworks . What you can do Look at conflicting data and reason quickly toward