Own end-to-end automation of healthcare operations workflows using SQL, APIs, scripts, and AI tools. Requires 3+ years in operations or data-heavy roles, strong SQL skills, and the ability to manage complex projects autonomously.
120k – 160k
On-site3+ YOEBusiness Operations
About the role
What You'll Do
Own high-impact processes: Own one or more automation surfaces end-to-end: instrumentation, workflow mapping, SQL/data analysis, tool changes, experiment evaluation, rollout, monitoring, and post-launch debugging.
Design and automate workflows: Use SQL, APIs, scripts, and emerging tools (including LLMs and harnesses) to automate manual claim-related workflows and improve scalability.
Collaborate cross-functionally: Work closely with Product, Engineering, and Account Management to influence roadmap priorities and scale successful solutions.
Analyze and optimize: Build dashboards and reporting pipelines to monitor productivity, quality, and financial outcomes; identify bottlenecks and automate fixes.
What You Bring
3+ years of experience in operations, consulting, or data-heavy roles at a tech company or fast-paced startup.
Strong SQL fluency - comfortable querying, analyzing, and structuring data to drive insights and automation.
Excellent problem-solving and systems-thinking skills; able to diagnose root causes and design scalable solutions.
Proven ability to manage complex projects end-to-end, working autonomously in ambiguous, fast-changing environments.
Bonus Qualifications
Experience with AI Automation Infrastructure, such as: Prompt Iteration, Evaluations, Failure Analysis, Agent Workflows, Hallucination / Leakage / Overfitting Risks, Human-in-the-Loop Design, Confidence Thresholds, Auditability, Production Monitoring.
Experience in healthcare operations, claims, or billing systems.
Experience building or integrating workflows via APIs, Python, or web automation tools (Zapier, Retool, custom scripts, etc.).
Experience with agentic workflow development, building orchestration scripts and validation scripts, and working with the cloud.
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