Q

Qualified Health

Data-driven healthcare compliance and security

Senior Product Manager - AI Infrastructure

Technical Product ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree in Engineering, Computer Science, or a related technical field.
  • At least 6 years of product management experience, including at least 3 years owning platform, developer tools, or infrastructure products.
  • Demonstrated pattern recognition across products, including turning capabilities built for one customer or team into shared components adopted by others.
  • Deep technical fluency in workflow orchestration, APIs, event-driven architectures, and config-driven systems, including the ability to read a schema and follow a codebase.
  • Experience with builder tools, low-code platforms, internal developer platforms, or component libraries at scale.
  • Experience shipping products in regulated environments such as healthcare or finance.
  • Ability to explain platform tradeoffs to executives, communicate product requirements to engineers, and influence teams without direct management authority.
  • Comfort with ambiguity and ability to make decisions with incomplete information.
  • Able to work onsite in Palo Alto 3 days per week.

Responsibilities

  • Own the roadmap for builder tools and core primitives, balancing customer commitments, internal builder needs, and platform reuse.
  • Build and maintain the primitive catalog, including its contents, interfaces, versions, and consumers.
  • Define and run the promotion process that turns per-customer builds into reusable platform components with clear interfaces.
  • Set generalization and scalability requirements at the start of each new product build and enforce them at review gates.
  • Write complete acceptance criteria before work commits to a sprint so requirements are unambiguous to engineering.
  • Own product requirements for the workflow registry, config-driven backends, and build-to-production pipeline in partnership with the Workflow Factory team.
  • Partner with infrastructure engineering on multi-tenancy, performance, reliability, and cost as product requirements.
  • Define success metrics for reuse and platform leverage, including component adoption, time-to-second-deployment, and the share of new products assembled from existing primitives, and use them to drive prioritization.
  • Run intake and prioritization for builder tool requests from customer teams and internal builders.
  • Navigate healthcare regulatory requirements, including HIPAA, data privacy, and clinical safety, as first-order product constraints.

Desired Qualifications

  • Understanding of healthcare operations or health system IT environments.
  • Experience with workflow engines such as Temporal or similar, LLM agent frameworks, or design systems and component governance.

About the Company

Qualified Health

Data-driven healthcare compliance and security

Qualified Health AI provides data-driven software solutions for United States healthcare providers to manage patient data and meet regulatory requirements. The platform collects and processes healthcare information to streamline administrative tasks and support clinical decision-making, using automated tools while ensuring HIPAA compliance, privacy, and security. Beyond data processing, it plans collaborative features such as blogs and teaching games to facilitate knowledge sharing and professional development among healthcare professionals. The company differentiates itself by combining regulatory compliance services with community-building and educational tools, aiming to offer a single ecosystem where providers optimize daily operations, protect patient privacy, and foster continuous learning.

Company size
51-200
Company stage
Series B
Total funding
$155.1M
Headquarters
Palo Alto, CA
Founded
2023

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