Senior Product Manager, Search Algorithms

About Faire

Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

About this role

The Discovery pillar's mission is to make it easy and delightful for retailers to find brands and products their customers will love. This role owns a product roadmap for one of our search algorithm areas — ranking, retrieval, or query understanding — the largest discovery surface by order volume.

This role sits at the intersection of data science, marketplace strategy, and execution. You'll work closely with a world-class data science team to define goals, get into the weeds of the data, and maintain the execution velocity that lets us keep improving these systems.

What you'll do

• Own a roadmap for your search algorithm area that is analytically grounded, clearly prioritized, and connected to business outcomes such as retention, reorder rate, and buyer conversion.
• Direct the analytical work of your pod — partnering with dedicated strategy & analytics and data science partners to identify opportunities, diagnose root causes of failure modes, interpret outputs, and turn findings into clear priorities.
• Refine the offline and online metrics that help us understand the retailer's search experience and the performance of each system component.
• Run a tight operation across many moving parts — ML platform dependencies, retrieval/ranking coupling, feature engineering cycles, model architecture changes — and proactively unblock bottlenecks.
• Build trusted partnerships across ML Platform, Discovery Infrastructure, and adjacent Search and Personalization teams, managing your team's bandwidth while delivering on shared goals.
• Represent your team's strategy and progress to leadership, connecting algorithmic work to marketplace outcomes.

Qualifications

• Bachelor's degree or equivalent experience
• 4+ years of product management experience at a high-growth tech company, or 5+ years as a data scientist or machine learning engineer with 1-2 years transitioned into a product management role.
• Deep comfort working in data — you independently generate insights by knowing how to slice and frame analytical questions, and could hold your own sparring with data scientists on methodology and interpretation
• Strong goal definition...