qualified-health-pbc - New Product Development Lead
Requirements
• Education: Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is preferred. • 8+ years in data engineering, with 3+ years in a technical leadership role • Deep Databricks/Spark expertise at the architecture level — performance tuning, cluster management, Delta Lake design patterns • Experience building reusable data frameworks, tooling, or platforms • Demonstrated ability to hire, develop, and retain strong engineers • Exposure to ML/LLM pipeline development — model serving, prompt engineering in production, evaluation frameworks • Healthcare data experience (Epic Clarity, clinical data models, FHIR) • Background building product-oriented data platforms (not just ETL/ELT pipelines) • Prior experience at a growth-stage startup where you built a team from scratch • Architectural Vision: Ability to see across multiple product families and design data foundations that serve all of them — not one-off solutions for each • Product Engineering Instincts: You think about your output as a product: versioned, tested, documented, and designed for the consumer (in this case, the integration team deploying it to partners) • Technical Depth + Leadership Range: You're comfortable operating at both the architecture whiteboard and the code review level — and you know when to toggle between them • Influence Without Authority: You'll need to drive adoption of your team's artifacts across integration pods that have their own priorities and habits • Builder Mentality: You're energized by creating something from nothing — building a team, establishing processes, and shipping the first version of things that don't exist yet • This role is primarily remote. Occasional travel may be required for team on-sites, leadership meetings, or partner-facing architecture discussions. Candidates should be prepared for 5-10% travel.
Responsibilities
• Build and lead a team of 4-5 data engineers focused on new builds • Own the product data engineering backlog in partnership with product management • Define and enforce technical standards for notebooks, pipelines, QC modules, and documentation • Drive the development of reusable data provisioning modules (IaC) and pipeline tooling • Lead the build-out of data transformation and validation notebooks for agentic workflows • Oversee initial agentic LLM call development within data pipelines — including prompt engineering, model serving patterns, and evaluation frameworks • Own data spec documentation and ensure specs are maintained as products evolve • Collaborate closely with Client Integration Directors to ensure product artifacts deploy cleanly into customer environments • Develop team members technically and professionally; create a high-output engineering culture
Benefits
• This is an opportunity to join a fast-growing company and a world-class team that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers. • Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation. • OUR COMMITMENT TO DIVERSITY • The pay range for this role is between $195,000 and $240,000, and will depend on your skills, qualifications, and experience. This role is also eligible for equity and benefits.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT