Qualified Health PBC

New Product Development Lead

United States - Remote

Sponsorship not specifiedDetected 50 days ago

DatabricksMachine LearningSparkLLMsAgentic AILeadership

About the role

That means doing the data discovery yourself: figuring out what signal actually exists in a client's data, whether it's usable, and what it would take to turn it into something trustworthy enough to run in production.
Ownership doesn't stop at a working prototype.
You'll carry products through production deployment and into post-launch iteration directly with health system clients, refining based on what real data and real feedback tell you.

Independently perform data discovery against client data: assess what signal exists, its quality and completeness, and whether it can support a trustworthy production product
Design and build the data pipeline and agentic AI workflow each product needs, choosing a bespoke approach when the existing platform doesn't fit rather than forcing a mismatched pattern
Exercise judgment on when to build on existing platform infrastructure versus when to build something new
Collaborate directly with clinical, operational, product, and client stakeholders during discovery and validation to ensure the product reflects real domain logic and real workflow needs
Own data spec documentation for each product you build
Work within platform principles (empirical verification before building, annotations over hardcoded logic, loud failures over silent nulls) without those principles constraining the pace or shape of 0-to-1 discovery
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
Knows when to build something bespoke for a specific product versus when to lean on existing platform infrastructure, and can generalize a bespoke solution into something reusable once it's proven

Occasional travel may be required for team on-sites, leadership meetings, or partner-facing architecture discussions.

0-to-1
Background as a founding or early engineer on a new product or platform, where you defined the approach rather than inherited one

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.
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.
It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care.
Join us in shaping the future of healthcare.
Carry products through production deployment and own post-launch iteration directly with health system clients as real-world data and feedback come in
Education: Bachelor's degree in Computer Science, Engineering or a related field.

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.
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.
Once an initial bespoke build proves out, bring it into the core data platform: harden it, integrate it with existing pipelines and standards, and make it a supported, reusable part of the platform rather than a one-off

This listing is sourced directly from Qualified Health PBC's careers page and normalized into a canonical job model.