Product Manager, AI Agents

SuperDial

1d•$145,000 - $175,000

About The Position

SuperDial is building AI agents that perform real work within healthcare revenue cycle operations, automating high-volume tasks like claims status follow-up, eligibility verification, benefits verification, prior authorization, and payer communications. Having recently secured Series B funding, the company is entering a significant growth phase. As SuperDial expands its offerings beyond outbound payer calls to include advanced workflow automation, multimodal evidence gathering, and inbound agent experiences, they are seeking an Associate Product Manager. This individual will be instrumental in building, testing, launching, and refining AI agent products in production. The role involves reporting to the VP of Product and collaborating closely with Product, Engineering, Operations, Customer Success, and Sales teams. Key responsibilities include defining requirements, organizing customer and operational feedback, testing product functionality, monitoring agent performance, and creating internal documentation. This position is ideal for an early-career product professional who is technically inquisitive, highly organized, customer-focused, and eager to learn how applied AI can address operational challenges in the healthcare sector.

Requirements

2+ years of experience in product management, product operations, implementation, solutions, technical operations, customer operations, data operations, or a similarly analytical and cross-functional role.
Strong interest in applied AI, automation, healthcare technology, workflow software, or technically complex products.
Ability to learn complex workflows quickly and turn messy information into clear requirements, documentation, and action items.
Comfort working with technical and operational teams to understand product behavior, customer requirements, and production issues.
Strong analytical instincts, including comfort using data, examples, and feedback to understand problems and recommend next steps.
Excellent organization and attention to detail, with the ability to manage multiple inputs and follow up reliably.
Clear written and verbal communication across Product, Engineering, Operations, Customer Success, Sales, and leadership teams.
Comfort operating in an early-stage, high-growth environment where priorities evolve quickly and process is still being built.

Nice To Haves

Experience working on AI, automation, workflow, data-heavy, or technically complex software products.
Exposure to healthcare revenue cycle management, payer/provider workflows, claims status, eligibility, prior authorization, denials, billing operations, or RCM services.
Experience supporting product launches, QA, customer pilots, implementation, or post-launch monitoring.
Familiarity with integrations, APIs, CSV/data ingestion, dashboards, logs, or customer-specific workflow configuration.
Ability to read basic SQL or use AI-assisted tools to explore product behavior.
Experience creating product documentation, enablement materials, workflow playbooks, release notes, or internal operating guides.
Exposure to GCP tools such as BigQuery, Vertex AI, Cloud Functions, Cloud Run, Pub/Sub, or related data and AI infrastructure.

Responsibilities

Support the development and improvement of AI agent workflows across areas such as outbound voice, workflow automation, evidence gathering, and inbound agent experiences.
Partner with Product and Engineering to write clear requirements, user stories, acceptance criteria, product notes, and launch materials.
Learn SuperDial’s core healthcare revenue cycle workflows and help translate operational complexity into clear product inputs.
Review customer feedback, operational escalations, product data, and agent outputs to identify patterns and surface improvement opportunities.
Support QA and launch readiness, including test cases, edge-case review, issue tracking, internal documentation, and post-launch monitoring.
Help evaluate agent performance across workflow completion, reliability, escalation patterns, and customer impact.
Partner with Operations and Customer Success to understand where product behavior is working well, where it breaks down, and what needs to improve.
Support customer pilots by organizing feedback, tracking open questions, and helping determine what is ready to scale.
Create internal documentation, workflow guides, enablement materials, and release notes that make product behavior easier to understand across teams.
Contribute to repeatable product and operating patterns that help SuperDial deploy AI agents more consistently across customers.