I

Infinitus

AI-powered automation of healthcare admin calls

Forward Deployed Product Manager

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

About the Job

Requirements

  • At least 5 years of experience in Product Management, entrepreneurship, or a similar role involving end-to-end product ownership.
  • Strong technical fluency, including experience working with AI-powered products, writing and evaluating prompts, and understanding technical architectures well enough to troubleshoot issues.
  • Proficiency with SQL and data analysis, with the ability to translate performance metrics into actionable product decisions.
  • Demonstrated experience owning customer-facing deliverables and driving measurable business or commercial outcomes.
  • Ability to explain complex technical concepts clearly to engineering, clinical, business, and customer stakeholders.
  • Strong product judgment and the ability to make thoughtful decisions around scope, quality, timelines, and competing priorities.
  • Ability to operate independently in ambiguous, fast-moving environments and take accountability for outcomes.
  • Willingness to work directly with technical teams and contribute hands-on to building and improving products.
  • Confidence navigating difficult customer conversations, communicating tradeoffs, and taking ownership when things do not go as planned.
  • Must be authorized to work in the United States without employer sponsorship.

Responsibilities

  • Own the product from initial customer scoping and statement of work through pilot launch, conversion to ongoing revenue, and continued performance.
  • Partner directly with customers to understand their needs, establish measurable outcomes, and translate requirements into clear technical specifications.
  • Collaborate with forward deployed engineers, applied AI engineers, conversation designers, and clinical experts to develop integrated AI agents using Infinitus Studio.
  • Build and refine conversation flows, orchestration logic, escalation pathways, evaluations, and test scenarios to improve agent performance.
  • Identify product limitations, troubleshoot issues, and work with engineering to implement solutions or practical workarounds; make tradeoffs around scope, timelines, and launch readiness.
  • Design and execute evaluations against performance, reliability, and safety standards; partner with clinical evaluators to ensure critical safety requirements are met before deployment.
  • Use performance data and customer feedback to improve agent effectiveness, demonstrate value, and drive conversion from pilot programs to ongoing commercial partnerships.
  • Serve as the primary customer contact for product progress, technical challenges, and roadmap discussions, communicating decisions, tradeoffs, and timelines clearly and proactively.
  • Take ownership of production issues, operational dependencies, and unexpected challenges to ensure successful delivery and ongoing performance.
  • Share insights from customer deployments with core product and engineering teams to influence improvements that scale across customers.

Desired Qualifications

  • An engineering degree or previous software engineering experience.
  • Experience developing, deploying, or managing conversational AI agents, large language model-powered applications, or workflow automation products.
  • Previous experience in healthcare, health technology, or another regulated or high-stakes industry.
  • Familiarity with clinical workflows, patient communications, or healthcare operations.
  • Experience taking technical products from pilot or proof of concept to commercial deployment.
  • Experience working with cross-functional teams that include engineering, product, clinical, and customer-facing stakeholders.

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

Recently Posted Jobs

Explore more opportunities at Infinitus

See more jobs