Sprinter Health, Inc.
Logistics Optimization - Senior Software Engineer
Sprinter Health, Inc., San Francisco, California, United States, 94199
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 from investors like a16z, General Catalyst, GV, and Accel and enjoy 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.
Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work‑life balance and understand that there will be times where flexibility is needed.
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)
Hiring Manager Conversation
(30 minutes)
Technical Assessment
— algorithms, systems design, or applied problem solving (45 minutes)
Onsite Interview
(3 hours) - Systems Design (optimization / logistics‑focused) + Behavioral Interview + Lunch with the team
References
Salary: $180,000 - $225,000 a year
Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected classes.
Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false offers. All legitimate job postings appear on our official Sprinter Health Careers website, and communication will only come from emails ending in @sprinterhealth.com.
#J-18808-Ljbffr
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 from investors like a16z, General Catalyst, GV, and Accel and enjoy 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.
Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work‑life balance and understand that there will be times where flexibility is needed.
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)
Hiring Manager Conversation
(30 minutes)
Technical Assessment
— algorithms, systems design, or applied problem solving (45 minutes)
Onsite Interview
(3 hours) - Systems Design (optimization / logistics‑focused) + Behavioral Interview + Lunch with the team
References
Salary: $180,000 - $225,000 a year
Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected classes.
Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false offers. All legitimate job postings appear on our official Sprinter Health Careers website, and communication will only come from emails ending in @sprinterhealth.com.
#J-18808-Ljbffr