Top Tech Jobs & Startup Jobs

Manage strategic DME provider accounts, strengthening partnerships, improving supplier performance, and identifying growth opportunities. Lead performance discussions, corrective actions, escalations, reporting, contract documentation, and cross-functional initiatives. Analyze operational data to identify risks, recurring failures, and process improvements that enhance reliability and patient outcomes. Serve as the primary liaison between provider partners and internal teams while supporting account retention, expansion, and operational alignment.

Lead the migration from legacy Azure services to a Kubernetes-based, containerized microservices platform. Design, build, and scale infrastructure, implement observability (monitoring/alerting/logging), drive incident response and SLOs, automate with IaC and CI/CD, optimize cost and networking, mentor teams, and document systems to ensure reliable, scalable healthcare platform operations.

Own the future-state product strategy and roadmap for Revenue Cycle Management across the DME order lifecycle. Lead discovery, workflow analysis, requirements, prioritization, scrum execution, delivery, adoption, measurement, and iteration. Partner with RCM Operations, Finance, Data, Engineering, and leadership to simplify fragmented processes, improve scalability and financial performance, reduce manual work, and deliver impactful workflow and product solutions.

Leads Synapse Health’s HR technology strategy, HRIS roadmap, compensation philosophy, benchmarking, pay equity, and salary structures. Oversees a Compensation Analyst, builds scalable People shared services, manages HR technology and benefits vendors, and automates manual workflows. Partners with the Chief People Officer on executive-level compensation recommendations and AI enablement while driving system implementations, integrations, process improvements, and workforce-ready operating models.

The Director will translate people strategy into structured programs and transformation initiatives. Responsibilities include building project management practices, leading employee engagement and performance management strategies, managing organizational change, developing People team playbooks, enabling AI-supported workflows, advancing culture initiatives, and redesigning scalable People operations. The role partners with senior leaders, People Partners, Learning and Development, and Communications to improve organizational effectiveness and execution.

Lead and build a data science organization to create a prediction engine for vendor matching, order routing, and supply chain optimization. Anchor projects to P&L, design measurement and experiment frameworks, ship rapid wins, hire and coach data scientists, work hands-on in modeling and technical design, partner with product and engineering (Snowflake), and evolve systems toward agentic AI while reporting impact in dollar terms.

Build, ship, and own end-to-end ML models for vendor matching, order routing, and supply-chain optimization. Partner with data engineering to productionize models, quantify impact, document work, and implement decision logic components toward agentic AI in a fast-moving healthcare startup environment.

Own end-to-end modeling for vendor matching, order routing, and supply-chain optimization. Build predictive, causal, RL and OR solutions; design autonomous decision logic; quantify counterfactual impact; ship production models with data engineering; mentor senior data scientists; write technical design docs; partner on quarterly priorities and expand into revenue cycle and finance domains.

Lead enterprise business development for Synapse Healths Equip business targeting hospice, SNF, LTC and post-acute organizations. Manage full sales cycle, build C-suite relationships, negotiate large contracts, collaborate cross-functionally to onboard customers, represent the company at industry events, and mentor junior BD staff to drive national growth and revenue.

Own and deliver reliable, secure software in a regulated healthcare environment. Drive solutions from ambiguity to production, build automation to reduce developer toil, mentor engineers, champion AI-assisted coding, and optimize database performance and schemas.