Jobs at Sprinter Health

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.

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.

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.

Provide after-hours and weekend travel support: monitor channels, handle flight/hotel/transport disruptions, rebook travel per SOPs, escalate high-impact issues, document actions, and hand off unresolved items to weekday Logistics.

Provide in-home diagnostic and preventative services including venipuncture, specimen collection, diabetic foot and retina screenings, ECGs, and basic point-of-care testing. Maintain supplies/PPE, document care via mobile tools, label and coordinate specimen transport, and deliver compassionate, patient-centered care while working independently and traveling between homes.

Provide in-home phlebotomy and other low-acuity diagnostic services (venipuncture, specimen collection, ECGs, retinal images, diabetic foot screens). Travel between patient homes using your own vehicle, ensure proper labeling and transport of specimens, document care using mobile charting tools, and maintain professional, compassionate patient interactions while meeting required certifications and vaccination requirements.

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.

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.

As a Patient Engagement Specialist I, you will contact patients via outbound calls, educate them on healthcare services, and help schedule appointments while collaborating with healthcare professionals.

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.

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.

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.

Support development, administration, and coordination of clinical training for Sprinters and Advanced Practice Providers. Manage onboarding schedules, LMS records, competency assessments, training logistics, and reporting. Partner cross-functionally to maintain training materials, support trainers, and improve clinician readiness through virtual and in-person programs.

The role involves providing clinical guidance to a Nurse Practitioner, ensuring adherence to healthcare regulations, and participating in quality improvement initiatives.