Jobs at Sprinter Health

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.

Design and deploy optimization, forecasting, and simulation models to match clinicians to patients under constraints. Build baselines, run evaluations and experiments, and productionize decision systems in partnership with engineering, product, and operations to improve operational metrics like cost per visit and clinician utilization.

Design and build backend services, APIs, and full-stack features that power patient booking, clinician routing, logistics, and device integrations. Own projects 0→1, solve scheduling/dispatch challenges, integrate external health systems, and collaborate with product, data, ops, and clinical teams to ship reliable, secure healthcare software.

Build and scale backend and full-stack systems powering patient booking, clinician routing, logistics, and device integrations. Design APIs, data models, and services, solve scheduling/dispatch challenges, integrate external health systems, and own projects from 0->1 while collaborating with product, data, ops, and clinical teams.

Provide clinical oversight and mentorship to a Nurse Practitioner, review medical records, ensure telemedicine-compliant clinical guidelines and state/federal regulatory adherence, participate in quality improvement, and support clinical audits and case reviews.

The Staff Product Manager, AI Clinical Tools will focus on developing AI-based solutions for optimal patient access and clinician workflow enhancements in healthcare, while collaborating with various teams to create impactful tools.

Lead regional market strategy and execution for new and existing territories: design operating models, capacity and workforce planning, schedule mobile clinicians, translate commercial commitments into operational plans, monitor KPIs, diagnose bottlenecks, and run ad hoc strategic projects to enable scalable market launches and expansions.

Lead and develop a team of engineers, focusing on recruitment, mentorship, and performance management, while driving technical excellence in a fast-paced environment.

The Senior Product Manager will enhance patient access through AI clinical tools, manage product strategy, engage stakeholders, and lead product development efforts.

The Senior Customer Success Manager leads customer interactions, ensuring satisfaction, retention, and expansion. They collaborate cross-functionally, use data for recommendations, and drive revenue targets while advocating for customer needs within the company.

Provide real-time support to mobile clinicians via Slack, phone, and Zendesk; troubleshoot operational and tech issues; escalate to operations or clinical managers; document patterns and support operational projects and process documentation.

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.