openashbyhqa16z
Product Engineering - Staff Software Engineer
Sprinter Health
LocationSan Francisco, CA
WorkplaceHybrid
EmploymentFullTime
Posted2026-06-10T18:27:25.395+00:00
Last observed2026-06-16 14:52:51.582277
Job ida16z-sprinter-health:ashbyhq:7c9cd84e-c3a4-46d8-9006-18573d40aa66
About Sprinter Health: At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway. About the Role We’re looking for a Senior Backend or Full-Stack Software Engineer (5+ years experience) who wants to build the core systems that power last-mile healthcare delivery. At Sprinter, you’ll work on products that blend logistics, patient experience, safety, and medical operations—building and scaling backend services, data flows, integrations, and in-product experiences that directly determine whether patients get care. From routing clinicians and powering booking flows to integrating medical devices and preventing clinical errors, you’ll own complex, high-impact systems from 0→1. If you want to solve real problems with code and ship product that changes access to care, this is that role. Office Location: We are a hybrid company based in the Bay Area with offices in both San Francisco & Menlo Park. We care about work-life balance, and understand that there will be times where flexibility is needed. What you will you do: - Design and build backend services and APIs that power patient booking, clinician routing, logistics, and device integrations - Ship full-stack product features end to end, from data modeling and business logic to UI and user flows (if full-stack) - Solve complex operational challenges like scheduling, dispatch, safety checks, and error prevention at scale - Integrate with external health systems, telemedicine platforms, and medical devices in a reliable, secure way - Work closely with product, data, ops, and clinical teams to turn real-world problems into shipped software - Own projects from 0→1, make architectural decisions, and help evolve our engineering practices as we scale What you have done: - Spent 8+ years building and scaling backend or full-stack systems in production - Experience mentoring engineers and overseeing large scale projects - Designed APIs, data models, and services that power real user-facing products - Led projects or pods end to end — from architecture and planning to delivery and iteration - Mentored junior and mid-level engineers through code reviews, pairing, and technical guidance - Shipped features independently and in collaboration with product, data, ops, or design partners - Built in environments where speed, reliability, and ambiguity coexist — startups, high-growth teams, or 0→1 products - Made technical decisions that balanced execution speed, scalability, and long-term maintainability What gives you an edge: - You’ve built or scaled products in health tech, logistics, or other operationally complex environments - You understand supply/demand dynamics — forecasting, routing, scheduling, or inventory management - You’ve scaled backend systems to support rapid growth, high-volume data, and evolving business needs - You’ve worked in mid- or growth-stage startups (Series A–C) where speed and ambiguity were the norm - You’re comfortable working with data platforms, pipelines, or large-scale data processing - You know your way around regulated environments — HIPAA, security, and privacy best practices The Interview Process - We aim to complete the interview process between 2-3 weeks. It will usually consist of: - Recruiter Screen (30-Minutes) - Hiring Ma
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