AI Agents Operations Associate

Requirements

• Highly detail-oriented with strong pattern recognition
• Comfortable working in ambiguous, fast-changing environments
• Strong communication skills (written + verbal)
• Ability to break down real-world workflows and edge cases
• Excited about AI and its real-world applications
• Willingness to be onsite and occasionally embedded with customers
• Scrappy, proactive, and willing to take ownership
• Experience in operations, QA, support, or healthcare environments
• (Desirable) Exposure to call center workflows or customer support systems
• (Desirable) Familiarity with structured testing or QA processes

• We’s looking for an AI Agents Operations Associate to join our team on the front lines of deploying and improving our voice agents
• Test and QA live AI agents
• Work directly with real patient call flows
• Embed within customer operations when needed
• Help ensure our agents perform reliably in high-stakes healthcare environments
• You won’t just be observing — you’ll be actively shaping how AI systems behave in production
• This role is designed as a launchpad into an Implementation Manager role within ~6 months, for candidates who demonstrate strong ownership and execution
• Test end-to-end call flows (scheduling, rescheduling, cancellations, intake, etc.)
• Identify bugs, edge cases, and breakdowns in agent behavior
• Log, categorize, and prioritize issues across severity levels (critical / major / minor)
• Validate that agent actions are correctly reflected in downstream systems (e.g., EHR)
• Embed with customer front desk / call center teams when needed
• Operate as a live scheduler to deeply understand workflows
• Act as a bridge between customer operations and engineering
• Surface real-world insights to improve agent performance
• Support QA processes across internal and offshore teams
• Review call transcripts, recordings, and agent decisions at scale
• Help define and refine QA frameworks, rubrics, and best practices
• Ensure consistency and quality across all testing workflows
• Partner closely with engineering, product, and operations teams
• Provide structured feedback to improve agent logic and performance
• Help iterate quickly on deployments in fast-moving environments
• Work on real AI systems in production — not demos or prototypes
• Direct exposure to customers and live environments
• High ownership early in your career
• Clear path to Implementation Manager in ~6 months
• Be part of scaling AI across large healthcare systems
• This is not a traditional entry-level role
• You’ll be working at the intersection of:
• AI systems
• Healthcare operations
• Real-world deployment
• If you’re excited about building, testing, and scaling AI in production environments, this role will give you unmatched exposure and growth