Greenhouse ·
full-timeSenior Product Analytics Engineer - Ads
Faire · San Francisco, CA
Faire operates a wholesale marketplace platform that connects independent retailers with brands globally, leveraging data and machine learning to streamline the wholesale process. As a Senior Product Analytics Engineer within the Ads division, you will be responsible for the end-to-end management of the ads data foundation and modeling infrastructure. This role involves designing and optimizing scalable data pipelines, translating complex business requirements into production-grade data systems, and collaborating closely with product, engineering, and machine learning teams. A significant focus of this position is the integration of AI into analytical workflows to automate routine tasks and improve data consumption. The ideal candidate is a seasoned professional with a strong background in analytics and data engineering, specifically in building high-performance storage and processing systems. You should be proficient in Python and SQL, with hands-on experience in data warehousing, ETL processes, and workflow tools like Airflow or dbt. This position is well-suited for a candidate who enjoys technical leadership, mentoring team members, and driving data-driven innovation within a high-growth advertising domain.
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 a product analytical engineer, you will own the end-to-end ads data foundation and models. You will partner closely with cross-functional teams in Product, Engineering, ML Applied Sciences, and Strategy & Analytics (S&A) to support product launches and roadmaps by designing and building data capabilities that inform and drive insights. You will lead the path in using AI to boost productivity and transform how analytical engineering operates—leveraging AI to streamline data pipeline development and operations, improve data consumption workflows, and automate routine analytical tasks. In this role, you'll see a direct link between your work, company growth, and user satisfaction. Join us and be part of a team that values data-driven innovation and excellence. What you’ll do The ideal candidate will possess a perfect blend of analytics and data engineering expertise, along with strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on company-wide data initiatives. Lead the design, implementmentation, and optimization of end-to-end and scalable data pipelines and models for a domain defining the architecture, feature requirements, roadmap. Collaborate with engineers, product managers, S&A, and ML applied scientists to translate business requirements into production-grade data systems and insights. Build and maintain data infrastructure, pipelines, and models that ensure data quality, consistency, and accessibility for analytical workflows. Redefine how we build, maintain, and scale data systems by embedding AI into our daily workflows. Mentor team members on best practices for scalable data engineering and quantitative problem-solving. Ensure and promote data quality standards for accurate and reliable insights. Embrace emerging technologies with enthusiasm. Qualifications 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases. Preferred experiences within Ads domain. Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders. Production-level development experience in Python. Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance. Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms. Experience with Airflow, Docker, DBT or similar analytics workflow tools. Bachelor’s or Master’s degree in Computer Science, Math, Physics, or a related technical field. Salary Range California: the pay range for this role is $ 196,000 to $ 269,500 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: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helpin
| Role | Senior Product Analytics Engineer - Ads |
|---|---|
| Company | Faire |
| Location | San Francisco, CA |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-01 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Senior Product Analytics Engineer - Ads at Faire: frequently asked questions
- What is the salary for this role?
- Faire has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Senior Product Analytics Engineer - Ads position remote, hybrid or onsite?
- The listing gives San Francisco, CA as the location and does not state a work mode.
- What is the application deadline?
- Faire has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Senior Product Analytics Engineer - Ads role?
- Use the Apply button on this page. It opens the original listing on boards.greenhouse.io, where you submit your application with the company.
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['Based in San Francisco or Seattle', 'Masters degree required', '8+ years experience']