Product Engineering - Engineering Manager
$220,000–$265,000 year
HybridSan Francisco, California, United States
Job Summary
Lead and grow a team of 8–12 engineers by recruiting, coaching, and guiding performance and career development while staying close to the work with a full-stack engineering background to provide technical direction and unblockers. Drive fast execution without compromising technical quality, especially in a high-growth, high-ambiguity environment, and partner closely with Product, Operations, and Data to deliver measurable impact for the business and our users. Shape team structure, culture, and processes as we continue to scale from 12 to 40+ engineers. This role supports Sprinter Health's mission of delivering in-home care to over 2 million patients across 22 states.
Required Qualifications
- 3+ years of experience managing and growing engineering teams (8+ engineers), including hiring, mentoring, and performance management
- 5+ years of hands-on software engineering experience, with a focus on full-stack development
- Proven ability to balance fast-paced execution with technical excellence, particularly in startup or high-growth environments
- Experience working cross-functionally with product, operations, and data teams to drive business and customer impact
- Experience in health tech, healthcare operations, or logistics (supply/demand, forecasting, inventory, routing, scheduling)
- Experience scaling backend systems to support rapid business growth and operational complexity
- Hands-on experience with Big Data, data platforms, and data pipelines
- Experience managing in mid-stage or growth-stage startups, particularly in logistics-heavy, scheduling-driven, or operationally complex environments
- Understanding of data privacy, HIPAA compliance, and security best practices in healthcare or other regulated industries
Desired Qualifications
- Experience in health tech, healthcare operations, or logistics (supply/demand, forecasting, inventory, routing, scheduling)
- Experience scaling backend systems to support rapid business growth and operational complexity
- Hands-on experience with Big Data, data platforms, and data pipelines
- Experience managing in mid-stage or growth-stage startups, particularly in logistics-heavy, scheduling-driven, or operationally complex environments
- Understanding of data privacy, HIPAA compliance, and security best practices in healthcare or other regulated industries
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