Full-Time

Product Manager

Core Products

Posted on 8/18/2026

Youlify

Youlify

No salary listed

Palo Alto, CA, USA

In Person

Bachelor's

Category
Product (1)
Required Skills
LLM
Product Management
Machine Learning
Product Design
Data Analysis
Requirements
  • A minimum of 4 years of product management experience.
  • Strong analytical and systematic thinking, including the ability to reason through ambiguous, undocumented, or contradictory rule sets and produce clear, defensible answers.
  • Experience building product logic in a rules-heavy, ambiguous domain such as compliance, insurance, tax, legal technology, trust and safety, or a similar domain.
  • Experience evaluating artificial intelligence or machine learning model outputs, ideally in a product context, and assessing model tradeoffs using real data rather than headline benchmarks.
  • Strong quantitative and data literacy, including comfort working with structured data, statistics, and drawing sound conclusions.
  • Excellent written communication for documenting judgment calls and decision logic clearly and precisely.
  • Comfort with ambiguity and self-directed research.
  • A bachelor's degree in Computer Science, Engineering, Statistics, or another STEM field.
Responsibilities
  • Research and interpret payer policy, coding guidelines, and billing rules, and make clear, defensible judgment calls where rules are ambiguous, contradictory, or undocumented.
  • Translate judgment calls into product requirements that the engineering team can build against.
  • Review feedback and evaluations from in-house medical coders and billers on artificial intelligence output quality, and reconcile inconsistent or conflicting input into a well-reasoned final decision grounded in policy.
  • Own the process for labeling and evaluating artificial intelligence output quality over time.
  • Evaluate the underlying artificial intelligence technology by analyzing real outputs, transactional data, and performance patterns to decide when changes are worthwhile.
  • Guide ongoing improvement of the artificial intelligence models behind the product with engineering and define what better performance means for specific use cases.
  • Design how artificial intelligence agents coordinate with one another and improve accuracy on complex tasks.
  • Analyze product and claims data to identify patterns, edge cases, and opportunities to improve accuracy.
  • Design product features that shape how humans and artificial intelligence interact.
  • Partner with Forward Deployed Product Managers to understand how policy and model decisions affect real customers and incorporate that context into product decisions.
  • Own and continuously refine the internal logic and decision framework so it remains 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 but is not required.
  • Experience evaluating artificial intelligence or machine learning model outputs in a product context is preferred.

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