Staff Software Engineer

Develop Health•San Francisco, CA

2d•$210,000 - $275,000

About The Position

Develop Health is hiring a Staff Software Engineer to turn complex healthcare problems into simple, reliable software. The hands-on role owns work from understanding user needs through launch and production. Working with Product, AI, and Operations, the engineer will build interfaces, services, integrations, and AI-powered workflows that remove obstacles between a prescription and treatment. The role also raises the engineering team's standards through technical decisions and shared AI-native tools and practices. In the first 3–6 months, the engineer will work with users to define useful solutions and success measures; lead a complex product initiative from discovery through launch; personally build critical components across the stack; make and explain architectural decisions; and implement testing, observability, safe rollouts, and AI fallbacks, iterating based on production evidence and user feedback. Beyond six months, the engineer will own the technical direction and customer outcomes of major product areas, solve cross-product technical problems, develop shared services, shape roadmaps using customer and operational evidence, and build AI-native tools and processes for planning, implementation, review, testing, and production. Develop Health works to use AI to accelerate access to life-saving medications by automating healthcare processes such as benefit verification and prior authorization. The company reports helping more than 2.5 million patients and partnering with major pharmacy benefit managers and payers.

Requirements

At least 5 years of software engineering experience.
Ability to build, debug, and operate software across backend services, data, and user interfaces.
Ability to learn unfamiliar technologies quickly.
Ability to define system boundaries and balance delivery speed, reliability, and long-term maintainability.
Ability to work directly with users to identify important problems and define success.
Ability to simplify complicated workflows for users.
Experience using coding agents to increase productivity, with the judgment and verification needed to ship reliable software.
Experience leading complex projects hands-on and aligning collaborators and stakeholders around clear decisions.
Ability to make other engineers more effective through mentoring and tools or processes.

Nice To Haves

Experience building AI-powered or automation-heavy products in production.
Experience in healthcare, clinical workflows, EHRs, payers, pharmacies, or another regulated domain.
Early-stage startup experience or evidence of thriving with high ownership and limited structure.
Experience building workflow products, data-heavy interfaces, or third-party integrations.

Responsibilities

Work with users to turn ambiguous problems into useful solutions and define clear measures of success.
Lead complex product initiatives from discovery through launch, setting technical approaches and milestones and personally building critical components.
Ship across backend services, user interfaces, data models, integrations, and workflow infrastructure.
Make architectural decisions across systems and clearly explain trade-offs.
Build testing, observability, safe rollouts, and AI fallbacks into products, then iterate based on production evidence and user feedback.
Own the technical direction and customer outcomes of major product areas.
Solve technical problems spanning products and build shared services that make future products faster to ship and operate.
Shape the roadmap using customer evidence and operational data.
Develop AI-native tools and engineering processes that help the team use agents throughout development.
Mentor engineers and build tools and processes that remove recurring blockers.