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Founding Head of Engineering

kadence | San Francisco, California, United States+1 | 3d ago
locations: San Francisco, California, United States · United States
full-time | remote | lead | 7+ years
skills: full-stack development, backend development, frontend development, databases, application architecture, distributed systems, workflow/state machines, queues, llms, ai, api design, data modeling, ui development, testing, monitoring, security

Founding Head of Engineering

VC Funded HealthTech · San Francisco (preferred) / Remote · Full-time · Founding Team

Our client is building an AI-powered decision engine for healthcare billing disputes, automating the arbitration process between hospitals/doctors and insurance companies. We’re backed by a well known Venture Studio (with a successful track record) and are partnered with a law firm providing ~$400M of claims as both training data and initial revenue, plus early provider/hospital network partners.

Role

We’re hiring our first engineer (de-facto Head of Engineering) as a founding team member. You’ll own the end-to-end build of our initial platform and help shape the technical direction and engineering culture.

What You’ll Do

  • Design and build the core platform: APIs, data models, workflow/state machine, and UI
  • Implement a claims workflow supporting human-in-the-loop operations
  • Gradually automate manual steps using LLMs and standard automation tools
  • Contribute to the decision engine that selects which claims to contest, how, and for how much
  • Establish engineering best practices (testing, monitoring, security)
  • Partner closely with the founder on product decisions and future hiring

What We’re Looking For

  • 7+ years software engineering experience, including:
  • Strong full-stack skills (backend-heavy, competent frontend)
  • Experience at a SaaS/product company
  • Startup or zero-to-one experience (early-stage, high ambiguity)
  • Solid grounding in:
  • Databases, application architecture, distributed systems basics
  • Workflow/state machines, queues, or operations-heavy systems
  • 1–2+ years working with LLMs/AI features in a product (agentic or workflow automation a plus)
  • Hands-on: comfortable shipping code ~50%+ of your time while owning architecture
  • Bias toward startup pace and ownership over large, process-heavy environments
  • Curiosity and enthusiasm for rapidly evolving AI tooling

Nice to Have

  • Experience in healthcare, insurance, or regulated environments
  • Prior founding/early-engineer experience

Benefits

equity
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