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Software Engineer, Provider Growth

Build and scale provider-growth systems spanning onboarding, activation, automation, AI agents, and experimentation. The role requires strong programming fundamentals, experience with APIs and data pipelines, and strong product judgment in a fast-growing environment.

About the job

Responsibilities

  • Own core parts of the provider experience end to end, from onboarding and activation through everyday practice workflows.
  • Set technical direction for Provider Growth, including architecture and platform decisions that support rapid experimentation.
  • Build AI agents and automation for provider-network expansion, including lead qualification, data enrichment, outreach, and follow-up across channels.
  • Design and ship tools that help Growth and Operations teams replace manual work with scalable systems.
  • Run experiments across onboarding, activation, referral, and other growth surfaces to improve conversion, adoption, and sustained usage.
  • Define metrics and instrumentation for understanding the provider funnel and prioritizing high-leverage opportunities.
  • Collaborate closely with Product, Operations, and Growth to identify friction, ship quickly, and measure provider behavior.

Requirements

  • Strong programming skills and general computer science knowledge.
  • Engineering experience at fast-growing, product-driven companies.
  • Experience working across APIs, data pipelines, and automation.
  • Strong product judgment and ability to balance speed, reliability, technical quality, and user impact.
  • Track record of moving quickly and delivering against ambitious goals.

Compensation and Benefits

  • Salary range of $170,000-$300,000, plus meaningful equity.
  • Fully covered medical, vision, and dental insurance.
  • One Medical, Talkspace, Teladoc, and Kindbody memberships.
  • Unlimited paid time off and 16 weeks of parental leave.
  • 401(k), FSA, commuter benefits, and DashPass.
  • Daily office lunch and dinner after 6:30 p.m.

Skills

Python, APIs, Data Pipelines, Automation, Artificial Intelligence, Lead Qualification, Data Enrichment, Experimentation, Instrumentation, Product Analytics

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