Director of Applied AI/ML Science - Ads
AI summary of the role
Faire is seeking a Director of Data to lead the Ads Data team, owning the end-to-end data vision and strategy for the ads business.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Define the holistic data vision and strategy for Ads, spanning retrieval/ranking ML, bidding/marketplace/auction systems, and data engineering/ETL.
- People-manage and grow the full group of Applied Scientists and Analytics Engineers on the Ads Data team.
- Own the team's long-term technical roadmap, ensuring alignment with company and Ads org strategy.
- Partner with cross-functional leaders to design and run the team's operating model, including planning cadence and prioritization frameworks.
What you’ll bring
- 8+ years of experience in data science, applied ML, or ML engineering roles, ideally with exposure to ads, search, recommendation systems, marketplaces, or auctions.
- 4+ years of experience managing technical teams of 5+ people, including senior ICs.
- Direct experience with ads marketplaces, auction systems, or search/recommendation systems.
- Demonstrated ability to set technical vision and strategy for a team or org.
Technologies
applied science · machine learning · search ads relevance · query understanding · personalization · bidding · auction design · bid optimization · data engineering · ETL
About Faire
Wholesale marketplace connecting independent retailers and brands with discovery, ordering, payments, logistics, and inventory tools in one platform.
Series G · 1000–2000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
important parts of Faire's business, and the Ads Data team — now three years old — is entering a period of hypergrowth. As Director of Data for Ads, you will own the end-to-end data vision and strategy for the Ads business — from the applied science and ML powering our marketplace to the data foundation underneath it. You'll lead and grow a team spanning Applied Scientists and Analytics/Data Engineers, set the technical vision and roadmap for the group, and partner closely with cross-functional leaders in Product, Engineering, Design, and Strategy & Analytics (S&A) to define how the Ads org operates — its planning cadence, prioritization framework, and execution rigor. This is a rare opportunity to shape, from an early stage, the technical and organizational backbone of one of Faire's most important growth engines. What You'll Do Define the holistic data vision and strategy for Ads,
More from the job description
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 Ads is one of the fastest-growing and most strategically important parts of Faire's business, and the Ads Data team — now three years old — is entering a period of hypergrowth. As Director of Data for Ads, you will own the end-to-end data vision and strategy for the Ads business — from the applied science and ML powering our marketplace to the data foundation underneath it. You'll lead and grow a team spanning Applied Scientists and Analytics/Data Engineers, set the technical vision and roadmap for the group, and partner closely with cross-functional leade [... source excerpt omitted ...] rk, and execution rigor. This is a rare opportunity to shape, from an early stage, the technical and organizational backbone of one of Faire's most important growth engines. What You'll Do Define the holistic data vision and strategy for Ads, spanning retrieval/ranking ML (search ads relevance, query understanding, personalization), bidding/marketplace/auction systems (auction design, bid optimization, pacing, budget allocation, advertiser ROI), and data engineering/ETL (pipelines, data foundations, and analytics that power decision-making across the org). People-manage and grow the full group of Applied Scientists and Analytics Engineers on the Ads Data team — hiring, mento [... source excerpt omitted ...] er frameworks, hiring bar). Represent Ads Data in company-level strategic conversations, ensuring data and ML considerations are embedded early in product and business planning. Qualifications 8+ years of experience in data science, applied ML, or ML engineering roles, ideally with exposure to ads, search, recommendation systems, marketplaces, or auctions. 4+ years of experience managing technical teams of 5+ people, including senior ICs. Direct experience with ads marketplaces, auction systems, or search/recommendation systems. Demonstrated ability to set technical vision and strategy for a team or org, and to translate that strategy into roadmaps, priorities, and measurable out
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