Director of Applied AI/ML Science - Ads

Faire
San Francisco
Workplace: HybridFull timeUSD 276,000 - 379,500 annuallyFunction: Executive & General ManagementExperience: 8+ yearsSkills: ["Communication","Cross-functional partnering","Leadership","Mentoring","Operating in ambiguity"]

Own the end-to-end data vision and strategy for the Ads business, spanning retrieval/ranking ML, bidding and auction systems, and the data engineering/ETL foundation that powers org-wide decision-making. Lead and grow a team of Applied Scientists and Analytics/Data Engineers, set the roadmap and operating model, and partner with Product, Engineering, Design, and Strategy & Analytics to embed data/ML early and drive measurable business impact.

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FursaFursa
Faire
Faire
2 months ago

Director of Applied AI/ML Science - Ads

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Last checked: 1 hour agoStatus: Live

Job Summary

Own the end-to-end data vision and strategy for the Ads business, spanning retrieval/ranking ML, bidding and auction systems, and the data engineering/ETL foundation that powers org-wide decision-making. Lead and grow a team of Applied Scientists and Analytics/Data Engineers, set the roadmap and operating model, and partner with Product, Engineering, Design, and Strategy & Analytics to embed data/ML early and drive measurable business impact.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Executive & General Management
Seniority: Director level

Key Responsibilities

  • •Define the holistic data vision and strategy for Ads across retrieval/ranking ML, auction/bidding systems, and data engineering/ETL foundations.
  • •People-manage and grow the Ads Data team (Applied Scientists and Analytics/Data Engineers), including hiring, mentoring, and building technical culture.
  • •Own the long-term technical roadmap aligned to company and Ads org strategy, translating it into priorities, staffing plans, and execution.
  • •Partner with cross-functional leaders to design and run the team’s operating model (planning cadence, prioritization, roadmap reviews, rituals).
  • •Drive business impact through hands-on contribution to high-priority ML/algorithmic problems when needed and advance the team’s ability to scale delivery.

Pay and Benefits

Salary: USD 276,000 - 379,500 annually
Equity and Bonus:Equity

Key Requirements

  • •8+ years of experience in data science, applied ML, or ML engineering, ideally with exposure to ads, search, recommendation systems, marketplaces, or auctions.
  • •4+ years managing technical teams of 5+ people, including senior ICs.
  • •Direct experience with ads marketplaces, auction systems, or search/recommendation systems.
  • •Ability to set technical vision and strategy and translate it into roadmaps, priorities, and measurable outcomes.
  • •Comfort operating across ML modeling (bidding, auction, ranking, relevance) and data engineering/analytics infrastructure.
Experience:8+ yearsAdsSearchRecommendation systemsMarketplacesAuctionsMachine learning
Skills:CommunicationCross-functional partneringLeadershipMentoringOperating in ambiguity
Languages:English
Tech Stack:ETL

Company Brief

Faire
Operates a wholesale marketplace connecting independent retailers with emerging and established brands, providing ordering, logistics, and payment solutions to help small businesses discover and stock unique products.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Headquarters: San Francisco, United States
Founded: 2017
WebsiteLinkedIn