Staff Product Engineer - Search FX (Discovery Experience)

$231k - $318k • New York City, NY; San Francisco, CA

Posted 1mo ago

Remote Work Policy

On-site

Categories

Applied AI Engineer

About the job

Faire is a technology wholesale platform connecting independent retailers with global product discovery. We are seeking a Staff Product Engineer to join our Discovery Search team (Search FX). This role will be a primary technical architect for our retailer-facing search surfaces, owning the technical roadmap for search, recommendations, and Gen-AI experiences. You will bridge the gap between high-scale infrastructure and user experience, unifying retrieval, ranking, and personalization into a cohesive, high-performance system. You will integrate LLM-powered capabilities, solve complex scale problems, and drive cross-functional impact while mentoring the team.

Responsibilities

  • Define the end-to-end architecture for Faire's search and discovery experience.
  • Integrate LLM-powered capabilities, such as natural language search and intelligent query understanding.
  • Build high-scale, low-latency systems for product discovery.
  • Partner with Data Science, Product, and Design to iterate on ranking models and UX components.
  • Mentor and lead the engineering team, fostering excellence and ownership.
  • Lead the design of composable grids, intent-aware routing, and orchestration layers.
  • Leverage LLMs to modernize query understanding and improve accuracy.
  • Drive initiatives to increase retrieval candidates while maintaining search latency.
  • Develop AI-driven features like 'Search Missions' to recover failed search sessions.
  • Work with client engineers on SDUI and React Server Components for dynamic search layouts.
  • Take accountability for the reliability and observability of the search funnel.

Requirements

  • 7+ years of professional software engineering experience.
  • 3+ years as a technical leader driving complex, cross-team projects.
  • Strong user-first mindset and ability to translate business problems into technical direction.
  • Experience partnering with Data Science to deploy and leverage machine learning and gen-AI systems in search.
  • Knowledge of search/query processing, including traditional, semantic, and hybrid frameworks (e.g., Elasticsearch, Lucene).
  • Strong programming skills in Kotlin or Java.
  • Experience with high-performance backend systems, Protocol Buffers, and MySQL.
  • Demonstrated ability to contribute to team strategy and influence organizational roadmap.

Benefits

  • Equity
  • Benefits

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