SuperDial
Lead Product Manager, AI Agents
Burlingame, CA
Sponsorship not specified$200k-$250kDetected 13 days ago
SQLBigQueryVector DatabasesGCPLLMsAgentic AIProduct ManagementProduct StrategyCadenceCommunication
About the role
- This role is ideal for a product leader who is technically fluent, customer-centered, analytical, and energized by ambiguity.
- Why SuperDial Healthcare operations are filled with critical, high-volume workflows that still rely heavily on manual effort.
- We recently closed our Series B and are entering an exciting stage of company and product growth.
Responsibilities
- Own a core AI agent product area focused on improving agent reliability, workflow completion, customer value, and scalability.
- Partner closely with Engineering to scope, build, QA, launch, and iterate on product improvements.
- Support go-to-market and customer-facing teams with clear product guidance, including supported use cases, product direction, and how capabilities create customer value.
- Analytical and hands-on: You use data to answer questions, validate hypotheses, diagnose root causes, and make practical product decisions.
- This is a rare opportunity to build applied AI in a domain where reliability, quality, and measurable customer impact matter deeply.
- As a Lead Product Manager, AI Agents at SuperDial, you will report to the VP of Product and own a core AI agent product area.
- You will join early in the development of our Product function and help shape not only what we build, but how we build.
Requirements
- Technically curious: You are energized by applied AI and excited to understand how AI agents, automation, and modern product tooling can be applied to real customer workflows.
- Systems-oriented: You are comfortable working through complex workflows, data inputs, integrations, edge cases, and operational dependencies.
- Customer-centered: You enjoy getting close to users, understanding how work actually gets done, and turning customer pain points into clear product direction.
- 7+ years of relevant experience, including 4+ years in product management or a product-adjacent ownership role within a B2B software environment.
- Experience owning a meaningful product area, product line, or complex customer-facing capability, including strategy, roadmap, prioritization, execution, launch, and post-launch iteration.
- Strong technical fluency, including the ability to work with Engineering, Data, and Operations on product behavior, integrations, APIs, data ingestion, data quality, and workflow logic.
- Strong analytical judgment, including the ability to define success metrics, diagnose root causes, and use data to guide product decisions.
- Customer-facing experience, with the ability to ask precise questions, synthesize complex needs, and communicate clearly with technical, operational, and executive stakeholders.
- Experience defining success metrics for a product area and using data, customer feedback, production behavior, and operational insights to evaluate quality, diagnose issues, and guide prioritization.
- Comfort operating in an early-stage, high-growth environment where priorities evolve quickly and process is still being built.
Compensation
- Compensation, Benefits & Work Location
Benefits
- Develop a deep understanding of healthcare revenue cycle workflows and translate customer needs into clear product requirements.
- SuperDial is building AI agents that do real work inside healthcare revenue cycle operations.
Company info
- agents that operate in production, inside complex healthcare systems, for customers who need measurable outcomes.
- In this role, you will work directly with customers and internal operators, partner closely with a strong technical team, help define how AI agent capabilities are measured and scaled, and play an important role in building the Product function during a key stage of company growth.
- This is a meaningful opportunity for someone who wants to be close to the customer, close to the technology, and close to the decisions that shape a company's next stage of growth.
- Test and validate new AI agent capabilities with customers and internal teams using pilots, production data, and feedback loops.
- Build repeatable product patterns, playbooks, and operating systems that help SuperDial scale deployments across customers.
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This listing is sourced directly from SuperDial's careers page and normalized into a canonical job model.