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Product Engineering - Software Engineer

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: Sprinter Health
Full Time position
Listed on 2025-12-01
Job specializations:
  • Software Development
    Software Engineer, Backend Developer, Cloud Engineer - Software
Job Description & How to Apply Below
Position: Product Engineering - Staff Software Engineer

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 Manager Introduction (30-Minutes)
  • Technical Assessment (45-Minutes)
  • Onsite Interview:
    Systems Design + Behavioral Interview + Lunch with the Team (3-hours)
  • References
What we offer
  • Meaningful pre-IPO equity
  • Medical, dental, and vision plans 100% paid for you…
Position Requirements
5+ Years work experience
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