Transform healthcare with us.
At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring — working alongside leading health systems to drive real change.
This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.
Join us in shaping the future of healthcare.
Job Summary
The New Product Development Lead is one of the most important leadership hires we'll make this year. You'll build and lead the team responsible for every reusable data product artifact at Qualified Health — transformation notebooks, validation pipelines, data specifications, IaC modules, and the initial agentic LLM call development that sits at the heart of our clinical AI workflows.
Today, this work is being done ad-hoc by our integration team alongside customer deployments. You're going to change that. You'll create a dedicated product engineering function that builds tested, documented, reusable artifacts — the kind that can be deployed to a new health system partner in days instead of weeks. You own the backlog, you set the technical standards, and you drive the architecture decisions that determine how our data products scale.
This is a ground-floor opportunity to shape how Qualified Health builds its core data product layer. You'll work across three product families — revenue cycle, care gap optimization, and quality registry abstraction — each with multiple active agentic workflows. The right person in this role will dramatically increase the throughput of our integration teams by eliminating per-partner reinvention and replacing it with a library of production-grade, reusable components.
Key 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
Required Qualifications
Education: Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is preferred.
Required Experience:
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
Ideal Experience
Exposure to ML/LLM pipeline development — model serving, prompt engineering in production, evaluation frameworks
Healthcare data experience (Epic Clarity, clinical data models, FHIR)
IaC experience (Terraform, Bicep)
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
Desirable Skills
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
Travel Requirements
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.
Why Join Qualified Health?
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
Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.
Pay & Benefits
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.
8+ years data engineering; 3+ years in technical leadership; Databricks/Spark architecture; reusable data frameworks; hiring and developing engineers.
Key Responsibilities
- Build team
- Own backlog
- Define standards
Skills & Tools
Databricks, Apache Spark, Delta Lake, Terraform, Bicep
Job Details
- Category: Data and Analytics
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — United States
- Salary: USD 195,000 – 240,000 / year
- Languages: English
Benefits
- 401k matching
- Retirement plan
About Qualified Health
Remote healthcare technology company leveraging Generative AI for safe governance and real-time monitoring. — Industry: Information Technology