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Youlify

Product Manager - Core Products

Technical Product ManagementUpdated on Nov 11
Full-timePalo Alto, CA, USA

About the Job

Requirements

  • A minimum of 4 years of product management experience is required.
  • Strong analytical and systematic thinking is required, including the ability to reason through ambiguous, undocumented, or contradictory rules and reach a clear, defensible answer.
  • Experience building product logic in a rules-heavy, ambiguous domain such as compliance, insurance, tax, legal technology, or trust and safety is required.
  • Experience evaluating AI or machine-learning model outputs is required, preferably in a product context, with the ability to assess model tradeoffs using real data rather than headline benchmarks.
  • Strong quantitative and data literacy is required, including comfort working with structured data and statistics and drawing sound conclusions.
  • Excellent written communication is required to document judgment calls and decision logic clearly and precisely.
  • The role requires comfort with ambiguity and self-directed research, including independent analysis and collaboration.
  • A bachelor's degree in Computer Science, Engineering, Statistics, or another STEM field is required.

Responsibilities

  • Research and interpret payer policy, coding guidelines, and billing rules, and make clear, defensible judgment calls when rules are ambiguous, contradictory, or undocumented.
  • Translate judgment calls into product requirements for the engineering team.
  • Systematically review in-house medical coder and biller feedback and evaluations of AI output quality, and reconcile conflicting input into a final decision grounded in policy.
  • Own and improve the process for labeling and evaluating AI output quality over time.
  • Evaluate the AI's underlying technology on an ongoing basis by analyzing real outputs, transactional data, and performance patterns to determine whether changes are worthwhile.
  • Guide ongoing improvement of the product's AI models with engineering and define what better performance means for the use cases.
  • Design how AI agents work and coordinate with one another, and improve accuracy on more complex tasks.
  • Analyze product and claims data to identify patterns, edge cases, and opportunities to improve accuracy.
  • Design product features that shape human-AI interactions and reflect the product logic and judgment calls.
  • Partner with Forward Deployed Product Managers to understand how policy and model decisions affect customers and incorporate that context into product decisions.
  • Own and continuously refine the internal logic and decision framework to keep it consistent, well-documented, and easy to hand off as the team grows.

Desired Qualifications

  • Direct experience with medical coding, billing, or payer policy is a plus.
  • Experience evaluating AI or machine-learning model outputs in a product context is preferred.

About the Company

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