Product Manager, AI Agents

About the role

Superdial is developing AI agents to automate healthcare revenue cycle operations, focusing on high-volume tasks like claims follow-up and benefits verification. As we expand into advanced workflow automation and multimodal data gathering, we need a Product Manager to help build, test, and launch new AI agent products. This role involves defining requirements, analyzing feedback, testing product behavior, and tracking agent performance.

Key facts

What you'll do

• Drive the creation and enhancement of AI agent workflows, including outbound voice and inbound agent experiences.
• Collaborate with Product and Engineering to produce clear requirements, user stories, and launch materials.
• Translate complex healthcare revenue cycle operations into actionable product inputs.
• Analyze customer feedback, operational issues, and product data to find areas for improvement.
• Support quality assurance and launch readiness through test cases, issue tracking, and post-launch monitoring.
• Assess agent performance based on workflow completion, reliability, and customer impact.
• Work with Operations and Customer Success to understand product functionality and areas needing improvement.
• Assist with customer pilots by organizing feedback and tracking open questions.
• Develop internal documentation, workflow guides, and release notes to clarify product behavior.
• Contribute to establishing consistent patterns for deploying AI agents across customers.

Requirements

• 4+ years in product management, product operations, implementation, solutions, or a similar analytical, cross-functional role.
• Demonstrated ownership or significant contribution to product discovery, requirements definition, delivery, and post-launch iteration.
• Experience bringing a product or feature to market, including defining launch needs and gathering post-launch insights.
• Strong product judgment to synthesize customer needs, operational realities, and business priorities into clear plans.
• Ability to quickly learn complex workflows and translate ambiguous inputs into clear requirements and documentation.
• Comfort working closely with Engineering, Operations, Customer Success, Sales, and leadership.
• Excellent organization and attention to detail, managing multiple inputs reliably.
• Strong analytical skills to use data, examples, and feedback for problem-solving and recommendations.
• Clear written and verbal communication to align teams and ensure follow-through.
• Strong interest in applied AI, automation, healthcare technology, or complex software products.

Nice to have

• Experience with AI, automation, workflow, or data-intensive software products.
• Familiarity with healthcare revenue cycle management, payer/provider workflows, or RCM services.
• Experience supporting QA, customer pilots, or post-launch monitoring.
• Familiarity with integrations, APIs, data ingestion, dashboards, or customer-specific configurations.
• Ability to read basic SQL or use AI-assisted tools for product behavior exploration.
• Experience creating product documentation, enablement materials, or internal operating guides.
• Exposure to GCP tools like BigQuery, Vertex AI, or related data and AI infrastructure.

Skills & tools

• Applied AI
• Automation
• Workflow software
• Data analysis
• SQL (basic, nice to have)
• GCP tools (BigQuery, Vertex AI, Cloud Functions, Cloud Run, Pub/Sub - nice to have)

Practical notes

This role is for an early-career product builder who is technically curious, organized, and customer-focused, eager to apply AI to solve healthcare operational problems. You will report to the VP of Product.