Opportunity at
FaireSenior Product Analytics Engineer - Ads
Faire is a technology wholesale marketplace operating a global platform that connects independent retailers with product creators using machine learning and data. The company is seeking…
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About This Role
Faire is a technology wholesale marketplace operating a global platform that connects independent retailers with product creators using machine learning and data. The company is seeking a Senior Product Analytics Engineer to join its growing Ads Data team in San Francisco. In this full-time role, you will take ownership of the end-to-end ads data architecture, building foundational models and scalable pipelines that inform product launches and company growth. This position…
Job Description
Faire is a technology wholesale marketplace operating a global platform that connects independent retailers with product creators using machine learning and data. The company is seeking a Senior Product Analytics Engineer to join its growing Ads Data team in San Francisco. In this full-time role, you will take ownership of the end-to-end ads data architecture, building foundational models and scalable pipelines that inform product launches and company growth.
This position is well-suited for a data professional who combines engineering capabilities with analytical expertise, and who is enthusiastic about utilizing artificial intelligence to optimize data workflows and automate routine engineering operations. You will operate in a hybrid setup, working from the San Francisco office three days per week.
As part of the role, you will collaborate closely with engineering, product management, machine learning, and analytics partners to translate business requirements into production-grade infrastructure. Faire provides a collaborative environment equipped with enterprise tools, competitive compensation including equity, and comprehensive employee benefits.
Responsibilities
- Design, build, and optimize scalable end-to-end data pipelines and models for the Ads domain
- Partner with engineers, product managers, and data scientists to translate business needs into reliable data systems
- Construct and maintain data infrastructure that guarantees accessibility, consistency, and high quality
- Integrate artificial intelligence into daily engineering routines to enhance pipeline development and analytical operations
- Mentor team members on quantitative problem-solving and scalable engineering best practices
- Promote strict data quality standards to ensure accurate analytical insights
Requirements
- At least four years of professional experience in data engineering and analytics roles focused on modeling and large-scale data processing
- Production-level coding experience in Python
- Advanced SQL expertise for query optimization and robust data model design
- Extensive background in big data technologies, ETL processes, and data warehousing concepts
- Familiarity with analytics workflow tools such as Airflow, Docker, or dbt
- Demonstrated leadership and communication abilities for driving cross-functional projects
Qualifications
- Prior professional background within the Ads domain
- Bachelor or Master degree in Mathematics, Computer Science, Physics, or a related technical discipline
Core Skills
Benefits
- Competitive salary ranging from $196,000 to $269,500 per year for California workers
- Equity options
- Comprehensive benefits package
- Flexibility to work remotely for up to four weeks per year
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is this job located?
This position is based in San Francisco with a hybrid work structure. Employees go into the office three days per week on Tuesdays, Thursdays, and a flex day of their choosing.
What is the salary range for this role?
For candidates based in California, the annual base salary range spans from $196,000 to $269,500, supplemented by equity and benefits.
What level of experience is required?
Applicants must have at least four years of experience in data engineering and analytics roles centered around large-scale data processing and data modeling.
Is remote work permitted?
Yes, hybrid employees have the flexibility to work remotely for up to four weeks each year.
Sample Interview Questions
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