Staff Software Engineer, Growth

Staff Software Engineer, Growth

Sprinter Health delivers free, in-home care to some of the most underserved communities in the country. The Growth Engineering team is responsible for getting patients to actually use that care—by reaching them, educating them, and making it easy to book. Today, most appointments are booked through outbound phone outreach. Your mandate is to help us evolve that into a true product-led motion by bringing booking directly into the core product and scaling how we engage patients. This is a role where the impact is tangible—you're building the systems that determine whether someone gets care or goes without.

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 Do:

• Mentor a team of three growth engineers and partner with our Staff Growth PM to build out the function end-to-end.
• Design and ship experiments that drive patient bookings—from message copy tests and outreach timing to new in-product booking flows
• Optimize multi-channel engagement across SMS, phone, email, and mail to reach patients who typically don't schedule care
• Run rapid brainstorms and sizing exercises to prioritize the next set of growth bets
• Define and monitor funnel metrics to understand drop-off, activation, and conversion
• Share insights through clear reporting and experiment reviews with cross-functional partners
• Test unconventional tactics (like door-knocking pilots) and simulate outreach volume to match clinical supply and demand

What Have You Done:

• Spent 7+ years as a software engineer, including 4-5 years on a growth or experimentation-focused team
• Mentored earlier career engineers and have held pod-level ownership before on projects
• Built and iterated on backend systems that power experimentation, messaging, funnels, or activation flows
• Shipped and measured experiments that moved core metrics like activation, conversion, retention, or booking
• Used data to identify drop-offs, size opportunities, and prioritize what to build next
• Collaborated with product, design, data, or ops to turn insights into shipped features
• Balanced speed and impact in a startup or high-growth environment

What Gives You An Edge:

• You've shipped experiments that directly moved activation, conversion, or booking metrics
• You're comfortable owning the full loop— sizing, building, launching, and measuring
• You've worked on products where growth is driven through the product, not just outbound channels
• You move fast with data, scrappy tooling, and lightweight experiments
• You've operated in high-ambiguity, zero-to-one, or PLG environments where playbooks didn't exist
• You've mentored mid-level engineers
• You've broken down projects into features and tasks and distributed them effectively
• You've been a people manager!

Our Tech Stack:

• Typescript, Python
• AWS Amplify stack (AppSync, DynamoDB, Lambda, CloudFormation)
• BigQuery, OpenSearch / ElasticSearch
• Looker, Kibana
• Statsig
• GraphQL
• Node.js
• React Native, React Native for Web

What We Offer:

• Meaningful pre-IPO equity
• Medical, dental, and vision plans 100% paid for you and your dependents
• Flexible PTO + 10 paid holidays per year
• 401(k) with match
• 16-week parental leave policy for birthing parent, 8 weeks for all other parents
• HSA + FSA contributions
• Life insurance, plus short and long-term disability coverage
• Free daily lunch in-office
• Annual learning stipend

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 - Growth Focused + Behavioral Interview + Lunch with the Team (3-hours)
• References

$225,000 - $255,000 a year

Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes.