Senior Product Manager, Match
Role Overview
Own shared Match Platform infrastructure that powers matching, personalization, embeddings, and evaluation across multiple product surfaces.
Partner with engineering, data science, machine learning, analytics, and marketplace operations to improve match quality and relevance and increase reuse of shared capabilities.
Key Skills for This Role
Full Job Posting
Role overview
Own shared Match Platform infrastructure that powers matching, personalization, embeddings, and evaluation across multiple product surfaces.
Partner with engineering, data science, machine learning, analytics, and marketplace operations to improve match quality and relevance and increase reuse of shared capabilities.
Responsibilities
- Drive the roadmap for AI-powered search, recommendation, and matching, including retrieval, ranking, personalization infrastructure, and shared model and feature foundations.
- Own AI/ML product strategy and balance long-term platform investments with near-term product-surface needs.
- Apply AI approaches to intent understanding, embedding-based and neural retrieval, personalized ranking, and real-time indexing.
- Set strategy for human labeling programs, offline evaluation, online experimentation, and shared data, labels, features, and outcomes.
- Lead cross-functional alignment across product, engineering, ML, data science, analytics, design, and operations.
- Define instrumentation, key metrics, and operating cadences to measure product improvements; track emerging AI techniques and tools.
What it takes
- Product-management experience working directly on search, recommendation, ranking, or large-scale information-retrieval systems.
- Marketplace or other two-sided-context experience is preferred.
- Deep AI/ML fluency across retrieval, ranking signals, embeddings, model tuning, and evaluation, with ability to translate technical concepts into product decisions.
- Demonstrated success leading experimentation and A/B testing programs and applying results to roadmap and design decisions.
- Ability to turn ambiguous needs into technically feasible requirements, prioritize effectively, and drive inclusive cross-functional alignment.
Workplace
- The role requires working in the Toronto office three days per week.
Benefits
- Benefits include healthcare coverage for the candidate and family, RRSP/DPSP retirement plans, mental health support, wellness reimbursement, supplemental vacation, and an Employee Stock Purchase Plan.
Application and interview information
- Upwork says this posting is for an existing vacancy. Interview recording and transcript summarization use an AI-enabled tool; candidates may opt out when scheduling.
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