Operations Manager, Infrastructure

Ovii's Interpretation of the Role

The Operations Manager, Infrastructure will own and automate high‑impact healthcare workflow processes using SQL, Python, APIs and emerging AI tools. You’ll design end‑to‑end solutions, build data‑driven dashboards, and partner across product, engineering and account teams to deliver measurable operational outcomes.

Role Snapshot

• Own end‑to‑end operational workflows
• Design and automate claim‑related processes
• Build data‑driven dashboards and reporting pipelines
• Collaborate with product, engineering and account teams
• Drive measurable impact on healthcare operations

Must-Have Requirements

• SQL
• Python
• operations
• consulting
• data‑heavy roles

Nice-to-Have Signals

• API integration
• Workflow automation tools (Zapier, Retool, custom scripts)
• LLM experience (optional)
• Healthcare operations knowledge (optional)
• healthcare operations
• claims/billing systems
• API workflow integration
• LLM‑enabled automation

Work Setup

• Location: Mountain View, United States
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Salary range
• Visa sponsorship
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Take full ownership of key verticals or client workflows from discovery through deployment
• Design, test and operationalize automation using SQL, APIs, scripts and emerging AI tools
• Build dashboards and reporting pipelines to monitor productivity, quality and financial outcomes
• Identify bottlenecks, automate fixes and ensure repeatable, scalable processes
• Partner with Product, Engineering and Account Management to influence roadmap priorities

Good Fit If You Have

• Experience in healthcare operations, claims or billing systems (bonus)
• Hands‑on experience with workflow automation platforms such as Zapier or Retool (bonus)
• Familiarity with large language models for automation (bonus)
• Background in fast‑paced startup or tech consulting environments