Faire

1 week ago

Director of Data, Ads

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours 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

Website LinkedIn

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Faire

1 week ago

Director of Data, Ads

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

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

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Headquarters: San Francisco, United States

Founded: 2017

Website LinkedIn