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Infinitus

AI-powered automation of healthcare admin calls

Product Manager - Payor Agents

Product ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 5 years of product management experience, including ownership of a product or product line and a record of setting strategy and delivering results.
  • A hands-on, detail-oriented approach, with comfort working in data, tickets, specifications, and customer calls, and following problems to their root cause.
  • Experience in healthcare, ideally payor, pharmacy benefit, specialty pharma, or patient support workflows, with a clear understanding of where the system breaks down.
  • Systems-thinking ability and comfort designing workflows where software, artificial intelligence, and human operations are all part of the product.
  • Fluency with data, including defining metrics, building or owning dashboards, and making evidence-based decisions.
  • Experience with integrations, data partnerships, or platform products.
  • Ability to operate in a regulated, safety-first environment where accuracy and compliance are essential.
  • Ability to work cross-functionally and directly with customers on difficult problems.

Responsibilities

  • Own the Payor Agents product strategy and roadmap, including how the product evolves with each interaction and remains reliable as the payor and pharmacy benefit manager landscape changes.
  • Define the channel and fallback model for selecting digital, automated, or live methods to obtain answers, including when to switch channels or involve a human expert.
  • Diagnose task success and failure by payor, pharmacy benefit manager, customer, and reason, and prioritize improvements with the greatest impact on quality, reliability, and success rates.
  • Develop features and logic to handle incomplete or inaccurate customer data.
  • Determine which data sources to build, buy, or partner for, and reduce over-reliance on any single source.
  • Define success measures and dashboards that connect the product to patient and customer outcomes, including success rate, turnaround time, accuracy, and cost.
  • Lead pilots, go-lives, and ongoing customer engagement for Payor Agents, making customer delivery repeatable and successful.
  • Analyze task-level data and customer feedback to identify patterns, root causes, and opportunities, and translate them into a prioritized roadmap.
  • Write specifications, define requirements and acceptance criteria, and partner with engineering through delivery and launch.
  • Design and refine routing, fallback, and escalation rules and logic, and measure their impact.
  • Evaluate and onboard new data sources and partners when existing sources are not solving customer problems.
  • Participate in customer and prospect calls before and after the sale to diagnose problems, set expectations, and build trust.
  • Work with Sales and Customer Success to understand customer needs and translate them into a roadmap.
  • Partner with Operations and Enablement to roll out new capabilities and keep pilots lean.
  • Partner with the AI Hub Product Manager on the Hub's strategy and solutions, and align executives and cross-functional teams around priorities.
  • Keep requests and tickets organized and visible so teams can trust the process.
  • Mentor teammates and help run the team's operating rhythm.

Desired Qualifications

  • A curious, accountable startup mindset and comfort with ambiguity and wearing several hats.

About the Company

Infinitus

AI-powered automation of healthcare admin calls

Infinitus.ai builds an AI-powered digital assistant, Eva, to automate administrative B2B conversations in healthcare. It handles tasks like benefit verification, prior authorization, and prescription savings calls by making automated calls to commercial and government payors and PBMs on behalf of healthcare providers. The AI platform continuously learns from each call and stays up to date with payor guidelines for over 1000 therapies and procedures across 30 disease states to maintain accuracy. Compared with human operators, Eva completes tasks around 30% faster and with about 10% higher quality, saving time and boosting provider productivity. The company sells its AI platform as a service to healthcare providers, including payors, PBMs, and pharmacies, with the goal of increasing efficiency and improving patient outcomes in the US healthcare system.

Company size
201-500
Company stage
Series B
Total funding
$51.4M
Headquarters
San Francisco, CA
Founded
2019

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