Faire

Director of Data, Ads

San Francisco, CA · Director

Sponsorship not specified$276k-$380kDetected 1 day ago

Machine LearningData EngineeringData ScienceStatisticsCadenceResearchLeadershipCommunicationMentoring

About the 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.
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.

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.
Own the team's long-term technical roadmap, ensuring it's tightly aligned to company and Ads org strategy, and translate that roadmap into clear priorities, staffing plans, and execution.
Partner with cross-functional leaders to design and run the team's operating model - planning cadence, prioritization frameworks, roadmap reviews, and cross-team rituals - so Ads Data operates as a high-leverage, well-run function as it grows.
Drive significant business impact through hands-on contribution to high-priority ML/algorithmic problems when needed, while building the team's ability to deliver this work independently and at scale.
Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.

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.
Excellent communication skills, with the ability to flex between technical depth and business-level narrative depending on the audience.
Demonstrated ability to set technical vision and strategy for a team or org, and to translate that strategy into roadmaps, priorities, and measurable outcomes.
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.
Comfort with ambiguity and rapid change - this team is young and growing fast, and the role requires building process and structure while the ground is still shifting.
Great to Haves
Academic background in Computer Science, Machine Learning, Statistics, Math, Operations Research, or a related field
PhD a plus.
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.
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.

At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe.
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 own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
We're looking for smart, resourceful and passionate people to join us as we power the shop local movement.

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