Jobs at Sprinter Health

The People Generalist will support the corporate team by advising leadership, improving the employee lifecycle, and driving people programs while ensuring compliance and promoting company culture.

Design and implement logistics optimization algorithms, develop predictive models, and build simulations for patient scheduling and routing in healthcare.

The Senior Software Engineer will explore AI solutions in healthcare, having experience in full-stack/backend development and startup culture.

As a Senior Software Engineer, you will design and build backend services and APIs for healthcare delivery, ensuring system reliability and integrating medical devices while leading projects and mentoring engineers.

Build and scale backend and full-stack systems powering patient booking, clinician routing, logistics, and device integrations. Own 0->1 projects, design APIs and data models, solve scheduling and dispatch challenges, integrate external health systems, and collaborate with product, data, ops, and clinical teams.

Build and scale backend and full‑stack systems powering patient booking, clinician routing, logistics, and device integrations. Ship end-to-end features, design APIs and data models, solve scheduling/dispatch challenges, integrate with external health systems and medical devices, and own projects from 0→1 while collaborating with product, data, ops, and clinical teams.

Lead and grow an 8–12 engineer full‑stack team, provide technical direction and unblockers, recruit and develop talent, partner with Product/Operations/Data, and shape team structure and processes to scale high-growth healthcare home‑visit services.

Design, build, and scale backend services, APIs, and full-stack features powering patient booking, clinician routing, logistics, and device integrations. Solve scheduling, dispatch, safety, and clinical-error prevention challenges, integrate external health systems and medical devices, and own projects 0→1 while collaborating with product, data, ops, and clinical teams.

Design and implement large-scale routing, scheduling, forecasting, and simulation systems to optimize clinician dispatch and capacity. Prototype and productionize optimization and predictive models, collaborate with product and ops, and own end-to-end projects in a distributed environment.

Build and scale backend and full-stack systems powering patient booking, clinician routing, logistics, and device integrations. Own 0->1 projects, design APIs and data models, integrate external health systems and medical devices, solve operational challenges at scale, and collaborate with product, data, ops, and clinical teams to deliver secure, reliable production software.

Build actuarial and health-economic models (total cost of care, PMPM, MLR) from claims to project multi-year cost and utilization impacts, quantify uncertainty, support commercial pricing, defend analyses to payer actuaries, partner on causal/expt design, and produce outputs usable for pricing/reserving.

Build and maintain production ML systems: training and inference pipelines, model packaging and serving, feature pipelines, monitoring for drift and degradation, automated retraining, and reproducibility/versioning across data and models.

The Technical Talent Sourcer will build candidate pipelines for technical roles, collaborate with recruiters, manage interview scheduling, and maintain records in ATS.

Lead high-priority patient operations initiatives end-to-end: diagnose appointment failures, design and run manual pilots, build lightweight models/reports, translate successful workflows into product requirements, roll out processes to frontline teams, and measure impact through recurring QA and cross-functional collaboration.

Convert ambiguous healthcare and operational problems into well-scoped ML/AI, ranking, optimization, NLP, or LLM tasks; build and evaluate models, run error analysis, design honest evaluations, partner with engineering and clinical stakeholders, and productionize reliable models with clear communication of tradeoffs and limitations.

Own and build canonical data models and metric definitions using dbt and cloud warehouses. Create tests, documentation, lineage, and data quality checks; reconcile metrics across teams and payer customers; partner with analysts, data scientists, product, engineering, and finance; optimize warehouse performance, cost, and PHI-aware access patterns.

Drive company-wide AI adoption by embedding with cross-functional teams to identify use cases and build production AI workflows, agents, internal tools, prompt/skill libraries, evaluation frameworks, and safe deployment patterns. Provide training, office hours, and enablement while partnering with security, IT, legal, and clinical stakeholders to ensure PHI-safe guardrails and measure adoption, productivity, and quality improvements.

Founding ML engineering hire to design and build production ML systems: training and inference pipelines, serving, feature workflows, monitoring, retraining, governance, and operational practices. Partner across engineering, data, product, and applied science to productionize models, implement observability, prevent degradation, and set platform standards and hiring bar for future ML engineers.

The Collaborating Physician oversees the Nurse Practitioner, ensuring high-quality patient care, compliance with regulations, and participation in quality improvement initiatives.

Lead and conduct ML research aligned to Sprinter Health's strategy: define research agenda, design rigorous experiments, develop novel methods and evaluations, publish and patent findings, translate research into production-ready tools, and collaborate with clinicians and cross-functional teams to validate and deploy clinically robust AI solutions.