Sprinter Health

Operations

• Own high-priority patient operations initiatives from problem definition through execution, measurement, and iteration
• Identify operational bottlenecks that prevent patients from booking, completing, or receiving care
• Conduct recurring quality assurance reviews to understand why appointments fail to complete and translate findings into operational fixes
• Design and run manual pilots to improve appointment completion, patient re-engagement, scheduling workflows, and service delivery
• Develop lightweight models, reports, or analyses to identify appointments or patient segments at higher risk of failure
• Scope new partner-requested services end to end, including the operating model, manual execution plan, expected value, and tracking methodology
• Roll out proven workflows to frontline teams and monitor performance through regular check-ins, documentation, and feedback loops
• Partner with Clinical Operations to ensure workflows support a high-quality patient experience, patient safety, and clinical standards, not just operational throughput
• Work with Product and Engineering to translate successful manual workflows into scalable systems and product requirements
• Build clear project plans, define milestones, manage stakeholders, and drive cross-functional initiatives to completion
• Balance strategic analysis with direct execution when needed, including coordinating schedules, re-engaging patients, or helping frontline teams troubleshoot workflows
• Monitor initiative performance using data tools and translate operational data into clear recommendations
• Communicate progress, risks, tradeoffs, and outcomes to leadership and cross-functional partners

Strategy & Operations, Healthcare – Patient Operations

Medical Billing and Coding

• Review and abstract professional medical records, including provider notes, encounters, and supporting documentation.
• Assign ICD-10-CM, CPT, HCPCS, and applicable modifiers accurately, following national and payer-specific coding guidelines.
• Validate that all codes are supported by provider documentation; query providers for clarification when necessary.
• Maintain coding quality metrics (accuracy, productivity, and compliance) as defined by leadership.
• Participate in internal and external coding audits; provide feedback to improve documentation and coding processes.
• Stay current with updates to CPT, ICD-10, HCPCS, and CMS risk adjustment guidelines.
• Maintain confidentiality and adhere to all HIPAA and compliance standards.

Medical Coder

Recruitment

• Collaborate with hiring managers to understand staffing needs and develop tailored recruitment strategies for both clinical and operations roles, in a fast-paced, high-volume hiring environment.
• Manage multiple high-volume requisitions simultaneously across clinical and operations functions, balancing speed, quality, and candidate experience.
• Screen, interview, and assess candidates to determine qualifications, skills, and overall fit for roles.
• Build and maintain relationships with healthcare professionals and operations candidates to understand career goals, preferences, and availability, enabling long-term pipeline development.
• Own the end-to-end recruitment process, including job postings, candidate sourcing, scheduling, interviewing, background checks, offer negotiation, and onboarding coordination, ensuring operational efficiency and consistency.
• Stay current with industry trends, market conditions, and regulatory changes to ensure compliance with healthcare staffing requirements.
• Maintain accurate and up-to-date records of candidate interactions and recruitment activity in the applicant tracking system (currently Lever), ensuring clean data and scalable recruiting operations.
• Leverage recruiting data and metrics to identify opportunities to improve hiring efficiency, candidate quality, and recruiting operations processes.

High Volume Recruiter – Temp

Machine Learning Engineer

• Build and lead Sprinter’s ML engineering function as the company’s first dedicated ML engineering hire
• Define Sprinter’s ML platform and deployment paradigm across training, serving, features, monitoring, retraining, and governance
• Make foundational build-versus-buy, architecture, tooling, and platform decisions that future models and engineers will build on
• Design and build production training and inference pipelines that are reliable, observable, and maintainable
• Package models for deployment and serve predictions through APIs, batch jobs, or other production workflows
• Build clean interfaces between data systems, models, and product systems so ML can be consumed safely and reliably
• Maintain feature pipelines and ensure features remain fresh, correct, and consistent between training and serving
• Implement monitoring for model performance, drift, data quality, latency, cost, reliability, and production behavior
• Prevent training-serving skew, silent degradation, and model regressions before they become production issues
• Automate retraining, validation, deployment, rollback, and other production ML workflows where appropriate
• Establish reproducibility, versioning, model governance, and operational readiness practices as company defaults
• Partner with engineering, data platform, product, operations, and applied science teams to productionize models and improve handoffs
• Write design docs, define technical standards, and bring the broader engineering organization along on key ML infrastructure decisions
• Set the technical bar for ML engineering by helping interview, mentor, and eventually hire engineers who follow

Machine Learning Engineer – Staff

Manager

• Oversee the daily operations of the clinical field team
• Develop and implement policies and procedures to maintain high standards of care
• Monitor patient care quality
• Recruit, train, and manage the clinical Sprinter team
• Ensure compliance with healthcare regulations
• Control expenses, and allocate resources effectively
• Address patient concerns
• Work closely with the Clinical Manager team and cross functional teams

Clinical Manager – Travel Required

AI Research Scientist

• Turn ambiguous healthcare, product, and operational problems into well-posed ML, AI, ranking, optimization, NLP, or LLM-based tasks
• Build strong baselines and improve on them efficiently using the right modeling approach for the problem
• Develop models across traditional ML, deep learning, NLP, and LLM-based approaches where appropriate
• Design offline and online evaluations that are honest, measurable, and predictive of real-world impact
• Choose metrics suited to imbalanced, delayed, noisy, and partially observed healthcare outcomes
• Run careful error analysis and use it to improve model quality, product fit, and operational usefulness
• Identify label leakage, selection bias, confounding, and other data artifacts before they reach production
• Explore messy real-world data, assess label quality, and determine whether a problem is ready for modeling
• Partner with ML engineering to productionize models reliably and define what production-readiness requires
• Work with clinical stakeholders and subject-matter experts to validate assumptions, review model errors, and understand edge cases
• Explain model tradeoffs, uncertainty, limitations, and expected impact clearly to product, operations, clinical, and leadership teams
• Write experiment docs, summarize findings, and help teams make informed decisions about when and how to deploy AI systems
• Pressure-test whether results are real, robust, and useful before recommending production use

Applied Scientist, AI

Analytics Engineer

• Build canonical data models that create a shared source of truth across the company
• Define and maintain core business, operational, financial, product, and customer-facing metrics
• Model data in dbt or equivalent transformation tooling so dashboards, self-serve analytics, and customer reports pull from trusted tables
• Write tests, documentation, and data quality checks that catch issues before they reach users
• Create clear definitions for tables, fields, and metrics so teams understand what the data means and when to use it
• Reconcile metric definitions across internal teams, external reporting needs, and payer customer expectations
• Trace data lineage and debug dashboards, reports, or tables that change unexpectedly
• Partner with analysts, data scientists, operations, finance, product, engineering, and customer-facing teams to understand data needs and translate them into reliable models
• Help build reusable reporting frameworks that make onboarding new payers faster and less manual
• Partner with the data platform team to evolve warehouse tables, improve data architecture, and strengthen data contracts
• Improve warehouse cost, performance, and maintainability
• Support PHI-aware data access patterns and help ensure sensitive healthcare data is modeled and used responsibly

Senior Analytics Engineer

AI Engineer

• Help define and drive Sprinter’s AI enablement strategy across engineering, operations, clinical, data, finance, and other functions
• Embed with teams to understand their workflows, identify high-leverage AI use cases, and translate business needs into working technical solutions
• Build bespoke agents, background workflows, internal tools, and automations that solve real operational, clinical, and engineering problems
• Create reusable playbooks, prompt libraries, skill libraries, workflow templates, and reference architectures that teams can self-serve
• Stand up shared context and knowledge systems that help AI tools ground answers in Sprinter’s data, documentation, codebases, and organizational context
• Evaluate, configure, and recommend AI tools, making practical build-versus-buy decisions based on team needs, safety, scalability, and cost
• Tune AI coding assistants and agentic workflows to Sprinter’s codebases, conventions, and development practices
• Build evaluation sets, benchmarks, and review patterns that help teams separate useful AI outputs from convincing-but-wrong ones
• Establish safe, repeatable deployment patterns for AI-built applications, internal tools, models, workflows, and data tables
• Partner with SRE, IT, Security, Legal, and clinical stakeholders on tool approval, deployment, access patterns, and PHI-safe guardrails
• Run recurring office hours, trainings, hackathons, and hands-on enablement sessions that build AI fluency across the company
• Measure AI adoption, productivity gains, quality improvements, and operational impact in ways that go beyond usage or token counts
• Communicate AI strategy, adoption progress, risks, and opportunities to individual contributors, managers, and executive leadership
• Help non-experts move quickly while ensuring patient safety, privacy, and quality are built into the workflow from the start

Senior AI Enablement Engineer

General

• Conduct virtual wellness visits directly to patients in their homes
• Review case load and prepare technology
• Collaborate with in-home clinical team members (Sprinters)
• Perform health risk assessments, medication reviews, and cognitive screenings
• Provide comprehensive care coordination including preventive care, medication management, referrals, and documentation of findings

Family Practice Nurse Practitioner – North Carolina, South Carolina Licensed

Clinical Operations

• Follow up with field employees on timesheet submissions, PTO entries, and sick time
• Validate weekly mileage and hours are submitted in accordance with policy and protocols
• Review and abstract supporting documentation for mileage and time submissions
• Maintain support metrics as defined by leadership
• Prepare weekly and monthly operational reports for the In-Home Director and Clinical Managers
• Manage administrative escalation trackers and ensure timely follow-up on open items
• Maintain confidentiality and adhere to all HIPAA and compliance standards

Clinical Operations Coordinator – Temporary

Full-stack Engineer

• Design and ship experiments that drive patient bookings — from message copy tests and outreach timing to new in-product booking flows
• Optimize multi-channel engagement across SMS, phone, email, and mail to reach patients who typically don’t schedule care
• Run rapid brainstorms and sizing exercises to prioritize the next set of growth bets
• Define and monitor funnel metrics to understand drop-off, activation, and conversion
• Share insights through clear reporting and experiment reviews with cross-functional partners
• Test unconventional tactics (like door-knocking pilots) and simulate outreach volume to match clinical supply and demand

Growth Team – Software Engineer, Mid-Level

• Your day will begin by reviewing and following up on inbound requests received from existing outreach campaigns
• Throughout the day you will utilize deep prospecting techniques to outreach patients in a personalized and engaging way
• You will utilize an auto-dialer tool that makes 150 to 200 outbound calls to patients every day
• You will talk to about 80 to 100 patients and book an average of 19 appointments each day
• You will use strong communication skills to build trust with prospective patients and caregivers to encourage and motivate them to schedule their appointments
• As you connect with patients, you will help educate them on the importance of receiving their ordered services as well as the benefits receiving them in-home with Sprinter Health
• To support you in your role, you will build a strong understanding of the care model of each of our partners to support any outstanding questions patients may have
• You will collaborate with other representatives and healthcare professionals to ensure a seamless patient experience
• As different customer situations arise, you will escalate questions and concerns to other teams for additional support
• Other duties and/or projects as assigned

Patient Engagement Specialist I

• Begin your day by reviewing your case load and preparing your technology
• Using easy and modern technology, navigate through your schedule for the day and partner with clinical in-home team members
• Make a warm and welcoming connection with a diverse range of patients and prepare to collect relevant information and perform various services
• Engage in proactive care by conducting thorough health risk assessments, medication reviews, and cognitive screenings
• Work directly with Sprinters to evaluate vital signs, arrange blood draws, and carry out necessary tasks to address the specific needs of the patient
• Provide comprehensive care coordination and management, including preventive care interventions, medication management, referrals to specialists, and documentation of findings

Family Nurse Practitioner, TX, LA, OK Licensed

• Review your case load and prepare your technology
• Navigate through your schedule and partner with clinical in-home team members
• Make warm and welcoming connections with a diverse range of patients
• Conduct thorough health risk assessments, medication reviews, cognitive screenings and empower patients
• Work directly with Sprinters to evaluate vital signs, arrange blood draws, and address specific patient needs
• Provide comprehensive care coordination and management, including preventive care interventions and documentation of findings

Family Nurse Practitioner, Oklahoma Licensed

• Conduct virtual wellness visits directly to patients
• Perform health assessments, medication reviews, and cognitive screenings
• Collaborate with in-home team members for patient care
• Provide comprehensive care coordination and management
• Make meaningful connections with diverse patients