Senior Engineering Manager (Ranking & Relevance)
Core
Lead the team building retrieval and machine-learned ranking systems that decide which therapists a patient sees, in what order, and why, across search, matching, and personalization in a healthcare marketplace.
Role type
Senior Engineering Manager (Ranking & Relevance)
Builds
Intelligent match-making systems for a three-sided marketplace connecting patients, therapists, and payers.
Domain
Healthcare technology / Machine Learning / Marketplace
Deliverable
production ML models
Required skills
Managing software and ML engineers, owning conversion/relevance metrics end-to-end, reliability and instrumentation, negotiating multi-stakeholder tradeoffs, defining AI-augmented engineering workflows
Preferred skills
Experience in clinical domains with sensitive data, building evaluation and monitoring for ranking systems, reconciling competing incentives in product design
Technologies
Learning-to-rank, retrieval systems, feature pipelines, online experimentation
Responsibilities
Lead the shift from filter-based to intelligent learning-to-rank systems, resolve competing objectives between patient conversion, provider activation, and payer efficiency, build outcome-aware ranking using patient-reported outcomes, establish evaluation and drift detection for weekly shipping, hire and set standards for the ML engineering team
Seniority
Senior, hands-on IC manager
