Faire

Faire

Senior Engineering Manager - Discovery

San Francisco, CA · Senior

Sponsorship not specified$231k-$318kDetected 2 days ago
Machine LearningLLMsA/B TestingLeadershipCommunicationCollaboration

About the role

  • The Discovery Experience team at Faire sits at the intersection of search, evaluate, and personalization - shaping how retailers find the products they love.
  • As a leader in Discovery, you will shape not only team execution, but also the longer-term technical and organizational direction of discovery at Faire - influencing strategy across product engineering, ML, and infrastructure.
  • You'll help unify retrieval, ranking, personalization, and UX into a cohesive system, while enabling fast experimentation and measurable business impact.

Responsibilities

  • Drive the integration of Algo and AI/LLM-powered capabilities into the discovery experience - from natural language search to intelligent query understanding and personalized results.
  • Partner with product and design to raise the bar on search UX, ensuring the experience is intuitive, accessible, and optimized for how retailers actually shop.
  • Champion observability and quality across the discovery stack, building the right instrumentation to understand user behavior and proactively improve the experience.
  • Drive cross-functional collaboration across relevance, ML, infrastructure, and product engineering to deliver cohesive, end-to-end discovery improvements.
  • Have experience building search or discovery products end-to-end, with a strong appreciation for the interplay between UX, relevance, and infrastructure.
  • Have a user-first mindset: you think deeply about search UX, query understanding, and how small UI decisions drive big differences in retailer satisfaction and conversion.
  • Have a strong background in building and shipping consumer or B2B product features at scale, with experience collaborating closely with product and design.
  • Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.

Requirements

  • 8+ years of experience in engineering roles, with at least 3+ years in engineering leadership positions.
  • Hands-on familiarity with AI and ML-powered product development, including experience integrating or shipping LLM-based features, semantic search, or personalization systems.
  • Strong product sensibility and communication skills, with the ability to translate ambiguous business problems into clear technical direction.
  • Experience driving cross-functional initiatives and aligning engineering roadmaps with product and business priorities.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Demonstrated experience working on search, discovery, recommendations, or related product domains - either on the UX/product side or the relevance/infrastructure side (ideally both).

Skills

  • Faire is a technology wholesale platform built on the belief that the future is local.
  • Best in

Compensation

  • San Francisco: The salary range for this role is $231,000 - $318,000 per year.
  • Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location.
  • The base pay range provided is subject to change and may be modified in the future.
  • Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year.
  • The salary range for this role is $231,000 - $318,000 per year.

Benefits

  • This role will also be eligible for equity and benefits.
  • Define and execute the technical vision for Faire's discovery experience, spanning search UX, recommendations, and AI-powered discovery, ensuring every retailer can effortlessly find what they're looking for.
  • Lead, mentor, and grow a team of engineers focused on the retailer-facing discovery surface, fostering a culture of craft, ownership, and continuous learning.

This listing is sourced directly from Faire's careers page and normalized into a canonical job model.