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Engineering Manager – AI/Data
| Company | Sprinter Health |
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| Location | Menlo Park, CA, USA |
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| Salary | $170000 – $215000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 3+ years of experience managing and growing engineering teams (5-10 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 managing engineering teams
Responsibilities
- Lead the Automated Intelligence and Clinical Data teams
- Drive the team to solve hard problems like uncovering care gaps and predicting future risk
- Synthesize rich, pre-visit clinical summaries for NPs using LLMs over past patient records
- Harmonize reporting of engagement and in-home visits for millions of patients across the largest US health plans
- Detect and prevent medical data errors with automated validation and anomaly detection
- Build Sprinter’s data warehouse from the ground up to unify vast clinical, operational and logistics data
Preferred 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
