Operations Automation Engineer

Job Description

Operations Manager, Automation Development | Commure

The Tone:
This is a full-time role at Commure, located in Mountain View, CA. Commure is building the AI Operating System for healthcare, creating the foundation for how care is delivered, documented, and financed. This role is crucial for solving complex operational problems using code, data, and product understanding. The work directly contributes to automating and scaling manual healthcare operations, leading to immediate and measurable improvements in patient care and overall efficiency.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: In-person, Mountain View, CA
• Pay: $80000–$120000 yearly
• Mission: This person will automate and scale traditionally manual workflows that underpin healthcare operations, from claim submissions to payment posting.
• Tech Stack: SQL, APIs, scripts, LLMs, harnesses, Python, web automation tools (Zapier, Retool, custom scripts), cloud

What You’ll Actually Do
• Own Processes: You will own one or more automation surfaces end-to-end, including instrumentation, workflow mapping, data analysis, tool changes, experiment evaluation, rollout, monitoring, and post-launch debugging.
• Design Automations: You will use SQL, APIs, scripts, and emerging tools to automate manual claim-related workflows and improve system scalability.
• Collaborate Cross-Functionally: You will work closely with Product, Engineering, and Account Management teams to influence roadmap priorities and scale successful solutions.
• Analyze and Optimize: You will build dashboards and reporting pipelines to monitor productivity, quality, and financial outcomes, identifying bottlenecks and automating fixes.

The Must-Haves
• Background: Mid-level role focused on operations, consulting, or data-heavy roles within a tech company or fast-paced startup.
• Experience: 2+ years of experience in operations, consulting, or data-heavy roles. Proven ability to manage complex projects end-to-end, working autonomously in ambiguous, fast-changing environments.
• Skills: Strong SQL fluency for querying, analyzing, and structuring data; excellent problem-solving and systems-thinking skills to diagnose root causes and design scalable solutions; comfort working with raw logs, database records, and edge cases.
• Bonus: Experience with AI Automation Infrastructure (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.