Senior Product Analytics Engineer - Ads, AI Data Pipelines

Faire Wholesale Inc.; San Francisco (CA); Hybrid; USD 196,000 - 270,000; Full time

Benefits offered by this job

Equity

Benefits

Hybrid work model

Remote work up to 4 weeks/year

Job summary

Faire is a technology wholesale platform powering the shop local movement. As a Product Analytical Engineer in the Ads Data team, you will own the end-to-end ads data foundation and models, partnering with Product, Engineering, ML Applied Sciences, and Strategy & Analytics to support launches and roadmaps with data capabilities that inform insights.

You will lead the path in using AI to boost productivity, streamline data pipeline development and operations, and automate routine analytical

Qualifications

• 4+ years in analytics and data engineering focused on data modeling and large-scale processing.
• Strong SQL with well-architected data models and query optimization.
• Deep experience with data warehousing, ETLs, big data tech, analytics platforms.
• Experience with Airflow, Docker, DBT or similar analytics workflow tools.
• Bachelor’s or Master’s in CS, Math, Physics, or related technical field.

Responsibilities

• Lead end-to-end data pipelines and models for scalable analytics.
• Collaborate with product, engineering, ML, and strategy teams to translate requirements.
• Build and maintain data infrastructure ensuring data quality and accessibility.
• Embed AI into daily workflows to improve data operations.
• Mentor teammates on scalable data engineering and quantitative problem solving.
• Ensure data quality standards for reliable insights.
• Embrace emerging technologies with enthusiasm.

Skills

Analytics & data engineering

Data modeling

SQL

Data warehousing concepts

Stakeholder collaboration

Leadership

Large-scale data processing

Education

Bachelor's or Master’s in CS/Math/Physics

Tools

Airflow

Docker

DBT

Job description

Faire is a technology wholesale platform powering the shop local movement. As a Product Analytical Engineer in the Ads Data team, you will own the end-to-end ads data foundation and models, partnering with Product, Engineering, ML Applied Sciences, and Strategy & Analytics to support launches and roadmaps with data capabilities that inform insights.

You will lead the path in using AI to boost productivity, streamline data pipeline development and operations, and automate routine analytical