Primary record

Senior Product Manager, Search Algorithms

Faire Indexed employerNew York City, NY; San Francisco, CA · New York, New York, United States · San Francisco, California, United States
Source-hosted applyChecked 3h agoOther
Apply at Faire

Faire receives this application through Greenhouse. Babu Careers does not claim delivery.

Workplace

hybrid

Employment

Other

Published

Aug 11, 2026

Closes

No date supplied

The role

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 find

Requirements

Department: Product