Lead Product Manager, AI Agents

About the role

Superdial is developing AI agents to automate complex administrative tasks within healthcare revenue cycle operations. This role involves leading a core product area for these agents, focusing on their reliability, utility, and scalability. You will contribute to a new category of applied AI, ensuring agents deliver measurable impact in critical healthcare workflows.

Key facts

What you'll do

• Manage a key AI agent product area, aiming to enhance agent reliability, workflow completion, customer value, and scalability.
• Formulate product strategy, define priorities, establish success metrics, and manage roadmap decisions with various internal teams.
• Gain a deep understanding of healthcare revenue cycle processes and translate customer requirements into clear product specifications.
• Utilize product data, operational insights, customer feedback, and production behavior to identify issues, discover opportunities, and guide prioritization.
• Collaborate closely with Engineering to scope, build, test, launch, and refine product enhancements.
• Validate new AI agent features with customers and internal teams through pilots, production data, and feedback loops.
• Establish metrics for measuring agent quality, workflow completion, reliability, escalation, customer value, and operational efficiency.
• Provide clear product guidance to go-to-market and customer-facing teams, including supported use cases and value propositions.
• Create repeatable product patterns and operating procedures to facilitate scalable deployments across customers.

Requirements

• 7+ years of relevant experience, including 4+ years in product management or a product ownership role in B2B software.
• Proven experience managing a significant product area, product line, or complex customer-facing capability, from strategy to post-launch iteration.
• Background in AI, automation, data-intensive, workflow, healthcare, revenue cycle, or technically complex software where quality depends on system behavior and operational performance.
• Strong interest in applied AI and comfort collaborating with Engineering to improve agent behavior and automation quality.
• Ability to quickly grasp healthcare revenue cycle workflows, such as claims, eligibility, benefits verification, or prior authorization.
• Strong technical understanding, including working with Engineering, Data, and Operations on product behavior, integrations, and data quality.
• Robust analytical judgment to define success metrics, diagnose root causes, and make data-driven product decisions.
• Customer-facing experience, with the ability to ask precise questions, synthesize complex needs, and communicate effectively with diverse stakeholders.
• Strong product execution skills, including scoping work, managing tradeoffs, clarifying requirements, and driving delivery in a dynamic environment.
• Experience defining success metrics for a product area and using data, feedback, and operational insights to evaluate quality and guide prioritization.
• Comfort operating in an early-stage, high-growth environment with evolving priorities.

Nice to have

• Direct experience in healthcare revenue cycle management, payer/provider workflows, or related RCM services.
• Experience building or deploying AI agents, LLM-powered products, voice AI, or automation platforms.
• Familiarity with modern AI infrastructure and tooling, such as LLM APIs, agent frameworks, or vector databases.
• Experience in a GCP-based environment, including tools like BigQuery, Vertex AI, or Cloud Functions.
• Experience with products involving integrations, APIs, data ingestion, or customer-specific workflow configuration.
• Ability to read SQL, inspect logs, analyze product behavior, or prototype with AI-assisted tools.

Skills & tools

• Applied AI
• Automation
• Data analysis
• Product strategy
• Roadmap management
• Customer feedback analysis
• API integrations
• Data ingestion
• Workflow logic
• GCP (BigQuery, Vertex AI, Cloud Functions, Cloud Run, Pub/Sub) (preferred)
• SQL (preferred)

Practical notes

• Full benefits package includes medical, dental, vision, and 401(k).
• This role is based in Burlingame, CA, with a hybrid work model.