Director of Data, Ads

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.

Comfort operating across a broad technical surface area — from ML modeling (bidding, auction, ranking, relevance) to data engineering and analytics infrastructure — with enough depth to earn credibility with ICs across all of these areas.

Strong track record partnering with cross-functional partners to define team operating models and drive cross-functional execution.

Prior experience building or scaling a data/applied science org from an early stage.

San Francisco: the pay range for this role is $276,000 to $379,500 per year.

This role will also be eligible for equity and benefits. 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.

Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday).

Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.

Why you’ll love working at Faire

Move fast:

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 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.

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, mentoring, setting career development paths, and building a strong technical culture as the team scales through hypergrowth.