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Qualified Health

New Product Development Lead

RemoteUnited States only
Published
Role
Product
Experience
Lead
Employment
Full-time
Company size
Startup
$195k–$240k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

0-to-1 Product Development Lead for Generative AI in healthcare. Requires deep Databricks/Spark expertise and experience building reusable data frameworks. Must be able to independently take new product ideas from concept to deployed product, including data discovery, pipeline design, and client-facing iteration. Experience with ML/LLM pipelines and as an early engineer on a new product is ideal.

Core skills

Generative AIML/LLM pipelinesData discovery

Required skills

DatabricksSpark

Optional skills

agent/tool-based architecturesmodel servingprompt engineering in productionevaluation frameworksfounding or early engineer on a new product or platformexperience working with clients or end users to validate and refine a product post-launch0-to-1 JudgmentBuild vs. Reuse Instincts

What you'll do

  • Take new product ideas, spanning clinical, hospital operations, revenue cycle, and other health system domains, from an open, often ambiguous problem statement through to a deployed, working product, owning the full 0-to-1 lifecycle
  • 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
  • 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
  • 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
  • Carry products through production deployment and own post-launch iteration directly with health system clients as real-world data and feedback come in
  • 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

What they require

  • Bachelor's degree in Computer Science, Engineering or a related field. Master's degree is preferred.
  • 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
  • Candidates should be prepared for 5-10% travel.

Benefits

  • competitive salaries with equity packages
  • robust medical/dental/vision insurance
  • flexible working hours
  • hybrid work options
  • an inclusive environment that fosters creativity and innovation

Qualified Health provides infrastructure for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring for healthcare organizations.

HealthcareStartup
$195k–$240k/yr