Staff Product Manager, Search Algorithms

Role overview Own product development for search ranking on a wholesale marketplace platform that connects independent retailers with brands from around the world. The role sits within the Discovery pillar and focuses on ranking algorithms, partnering closely with engineering and data science to turn product insight into a durable roadmap.

Responsibilities - Develop and execute a strategy that elevates the search experience through ranking algorithmic iterations. - Own a search ranking roadmap that is analytically grounded, clearly prioritized, and tied to business outcomes. - Direct the analytical work of the pod alongside a dedicated strategy and analytics partner to identify opportunities and diagnose failure modes. - Determine the right sequencing of opportunities, balancing foundational technical investments against near-term volume delivery. - Define and refine metrics for search ranking performance and retailer experience. - Build trusted partnerships across ML platform, discovery infrastructure, and adjacent search teams. - Represent the team's strategy and progress to leadership.

Requirements - Bachelor's degree or equivalent experience. - 7+ years of product management experience, including direct ownership of search or ranking systems, ideally at a marketplace or e-commerce company. - Strong prioritization instincts and a track record of sequencing the highest-impact opportunities. - Technical fluency comfortable engaging with technical white papers and holding informed conversations with engineering and data science counterparts. - Execution rigor across complex, multi-dependency work.

Nice to have - Direct experience with search ranking algorithms rather than adjacent search product surfaces.

Benefits and work setup - Pay range of $220,000 to $302,500 USD per year for San Francisco-based candidates, plus eligibility for equity and benefits. - Hybrid schedule of 3 days per week in office on Tuesdays, Thursdays, and a third flex day, with the flexibility to work remotely up to 4 weeks per year. - Access to modern enterprise AI tooling and a benefits package designed to support life inside and outside of work.