Director, Product Management - Search & Match
New
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BOLDRecruitment Technology
This position is 100% remote, work from home. BOLD can hire full-time residents of the following U.S. States & Territories: Arizona, California, Colorado, Connecticut, District of Columbia (Washington D.C) Florida, Georgia, Illinois, Indiana, Kentucky, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Puerto Rico, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, and Wisconsin.Full-TimeDirector
SalaryStarting pay range $170,000 — $240,000 USD
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Job Details
- Experience
- 8–10+ years
- Required Skills
- Machine LearningProduct ManagementData science
Requirements
- 8–10+ years of product management experience.
- Significant experience leading two-sided marketplaces, search engines, recommendation systems, or match platforms.
- Proven executive presence with exceptional presentation and storytelling abilities.
- Strong business sense with the ability to connect algorithmic performance to platform health.
- Expertise in balancing dual stakeholder needs for B2C and B2B search workflows.
- Experience shaping product strategies, managing engineering trade-offs, and maximizing investment ROI.
- Skilled at building trust and alignment across matrixed organizations.
- Demonstrated success coaching, mentoring, and leading product managers.
- Bachelor’s degree in a technical, quantitative, or business field, or equivalent experience.
Responsibilities
- Define and own the multi-year strategy and roadmap for Search & Match, linking algorithmic advancements to business outcomes.
- Drive search, ranking, and recommendation strategies for both consumer-facing job discovery and B2B recruiter search mechanics.
- Govern functional team capacity, compute/infrastructure investments, and feature prioritization for operational efficiency.
- Translate performance, algorithmic models, and marketplace dynamics into executive narratives and board-ready presentations.
- Build cross-functional coalitions across Engineering, Data Science, UX, and Commercial teams.
- Orchestrate execution at scale for match scoring, candidate indexing, and recommendation feeds.
- Establish performance metrics for search precision, recall, latency, and marketplace liquidity.
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