About This Role
This role is for an Operations Manager who thrives on solving complex operational problems using code, data, and product intuition. The position involves automating and scaling manual workflows within healthcare operations, working at the intersection of product, data, and implementation. It suits someone who can build and modify tools, evaluate outcomes, and ship measurable improvements.
Responsibilities
- Design, test, and operationalize automations across the stack
- Work hands-on with Product, Engineering teams, and customers to map and rebuild workflows
- Create systems that scale
- Own one or more automation surfaces end-to-end, including instrumentation, workflow mapping, SQL/data analysis, tool changes, experiment evaluation, rollout, monitoring, and post-launch debugging
- Use SQL, APIs, scripts, and emerging tools (including LLMs and harnesses) to automate manual claim-related workflows and improve scalability
- Collaborate closely with Product, Engineering, and Account Management to influence roadmap priorities and scale successful solutions
- Build dashboards and reporting pipelines to monitor productivity, quality, and financial outcomes
- Identify bottlenecks and automate fixes
- Investigate metric drops relentlessly until a root cause is identified
- Validate dashboard queries before trusting the output
- Work comfortably with raw logs, database records, and edge cases
- Translate domain expert knowledge into scalable automation
- Apply rigorous critical thinking to LLM outputs and build appropriate guardrails
- Ship useful tools early and iterate rather than over-engineer a perfect design doc
Requirements
- 2+ 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
Nice to have:
- 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
