SuperDial
Lead Agent Product Manager
$150K–$225K
Burlingame, CA · Hybrid · Manager · Full-time · Posted Jul 8, 2026
- Experience
- 5+ years; experience may be in product management, product operations, implementation, solutions, technical operations, customer operations, data operations, or a similarly analytical and cross-functional role.
About the job
Build, launch, and improve AI agent products that automate healthcare revenue cycle workflows, using customer feedback, operational insights, and performance data.
What you'll do
- Own improvements to AI agent workflows and translate complex operational needs into product requirements.
- Partner with Product and Engineering on requirements, QA, launches, monitoring, and post-launch iteration.
- Analyze customer feedback, agent performance, and operational issues; support pilots and create internal documentation.
What they ask for
- 5+ years in product management, product operations, implementation, solutions, technical or customer operations, data operations, or a similar analytical, cross-functional role.
- Demonstrated ownership of complex product or workflow initiatives, including discovery, requirements, delivery, launch, and iteration.
- Strong product judgment, analytical skills, organization, and ability to translate ambiguous inputs into clear recommendations and requirements.
- Clear written and verbal communication and ability to work across Engineering, Operations, Customer Success, Sales, and leadership.
Nice to have
- Experience with AI, automation, workflow, data-heavy, or technically complex software products; healthcare revenue cycle exposure.
- Experience with QA, pilots, implementation, monitoring, integrations or APIs, SQL, or GCP tools.
Pay
$150K – $225K (currency not stated; compensation type not specified)
Tools
SQL, GCP, BigQuery, Vertex AI, Cloud Functions, Cloud Run, Pub/Sub
AI focus
Build, test, launch, monitor, and improve production AI agents for healthcare revenue cycle workflows, including voice, workflow automation, evidence gathering, and inbound agent experiences.
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