Top Tech Jobs & Startup Jobs

Build and optimize growth systems that increase patient bookings and engagement. Design experiments across messaging, outreach, and in-product booking flows; develop backend systems for experimentation and activation; monitor funnel metrics; analyze drop-offs; prioritize growth opportunities; and collaborate with product, design, data, and operations teams. The role emphasizes rapid experimentation, product-led growth, and measurable improvements in activation, conversion, retention, and booking.

Own the company’s financial model and reporting processes, build dashboards, conduct complex analyses, and provide strategic insights on unit economics, margins, patient growth, acquisition costs, provider capacity, and partnerships. The role partners cross-functionally with leadership in a fast-growing healthcare startup and requires strong financial modeling, communication, and analytical skills.

Build and maintain internal developer platforms, shared services, CI/CD pipelines, cloud infrastructure, observability systems, automation, and self-service tooling. Partner with engineering teams to improve development workflows, deployment reliability, operational efficiency, and developer productivity. Lead foundational technical projects from architecture through rollout and ongoing maintenance while balancing scalability, reliability, and developer experience.

Provides on-site technology support for field clinicians delivering in-home healthcare. Responsibilities include configuring and shipping device kits, onboarding and offboarding users, Tier 2 troubleshooting, device monitoring, inventory management, repairs, training, documentation, and enforcing security and HIPAA protocols. The role supports mobile devices, diagnostic equipment, connectivity, and device management systems while maintaining clinician readiness and technology uptime across two Atlanta locations.

Build and own backend and full-stack systems for partner integrations and patient access. Design scalable platform capabilities for multi-state healthcare programs, convert partner requirements into reusable systems, collaborate with product, data, operations, and clinical teams, and lead projects from architecture through rollout. The role also includes shaping technical direction and mentoring engineers.

Design and maintain billing data systems that reconcile patient engagement data, codify auditable billing logic in BigQuery SQL, automate data cleanup with Python or Google Sheets scripting, and generate accurate, version-controlled invoice files. Investigate mismatches and edge cases, document workflows, and collaborate with Finance, Sales, Engineering, and Product to improve billing inputs and processes.

Own the clinical platform strategy and roadmap, including the validated patient record, patient identity, service catalog, composition grammar, and configurable authoring tools. Lead the extended clinical partner network platform, publish and version internal and external contracts, manage migrations and deprecations, and collaborate with clinical, partnerships, AI, engineering, and health plan stakeholders to scale care delivery.

Own the clinical platform foundation, including validated patient records, patient identity, service catalog, composition grammar, authoring tools, and external clinical partner integrations. Define the multi-year product vision and roadmap, create configurable healthcare workflows, version platform contracts, manage migrations and deprecations, and collaborate with clinical, partnerships, AI, engineering, and health-plan stakeholders to expand patient access at scale.

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.