About the role
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 with investors like a16z, General Catalyst, GV, and Accel and enjoy a multi-year runway.
About
the Role We’re hiring a Senior Software Engineer to join our Logistics Optimization team, where we tackle some of the hardest algorithmic and operational problems in healthcare. You’ll design systems that balance clinician supply, patient demand, and routing efficiency—essentially the logistics backbone of Sprinter’s in-home care delivery model. This is a deeply technical, high-impact role where you’ll work on problems at the intersection of operations research, simulation, and scalable distributed systems. Hybrid & Office Experience We operate on a hybrid schedule, working from the office Monday through Thursday, with Fridays designated as work-from-anywhere days. We care deeply about work-life balance and are happy to provide flexibility when life happens. We ask that employees be in the office Monday through Thursday to collaborate with their teams while maintaining flexibility where it matters most. Lunch is provided every day, and the entire team takes an hour to eat together. It's one of the ways we stay connected outside of meetings. You'll usually find us playing a board game before getting back to work. What will you do: Design and implement algorithms that optimize clinician routing, scheduling, and dispatch at national scale Build simulations that model demand, capacity, and patient behavior under real-world constraints Develop predictive models for cancellations, no-shows, and overbooking optimization Collaborate with product and ops teams to translate complex logistics challenges into scalable software systems Prototype and productionize forecasting and optimization models in a distributed environment Own projects end-to-end—from design to implementation and iteration What you have done: 5+ years of software engineering experience with strong backend or full-stack fundamentals Proficiency in JavaScript / TypeScript (preferred) and/or Python Experience designing or implementing optimization, forecasting, or simulation systems Background in operations research, applied math, or quantitative modeling Shipped production systems that balance technical complexity and real-world constraints Collaborated cross-functionally with product, ops, or data science teams to drive measurable impact What gives you an edge: Experience with global optimization techniques or Monte Carlo simulations Background in logistics, scheduling, or large-scale routing systems Prior work in healthcare or other operationally complex, data-heavy environments Experience in 0→1 environments or scaling early-stage technical systems You’re motivated by solving real problems that improve access to care Our tech stack: TypeScript / Node.js Python GraphQL AWS Amplify Stack (AppSync, DynamoDB, Lambda, CloudFormation) BigQuery, Elasticsearch / OpenSearch Looker, Kibana Forecasting, simulation, and optimization frameworks Custom route annealing and distributed scheduling models What we offer: Meaningful pre-IPO equity Competitive salary aligned with senior engineering levels Medical, dental, and vision fully covered for you and your dependents Flexible PTO + 10 paid holidays 401(k) with company match 16-week parental leave (8 weeks for partners) HSA / FSA contributions Life, short-term, and long-term disability coverage Free daily lunch in-office Annual learning stipend The interview process We aim to complete the process within 2–3 weeks. It typically includes: Recruiter Screen (30 minutes) Technical Assessment (45-Minutes) Hiring Manager Conversation (30 minutes) Onsite Interview (3 hours) - Systems Design (optimization / logistics-focused) + Behavioral Interview + Lunch with