Senior Product Analytics Engineer - Ads

Faire
San Francisco
Workplace: HybridFull timeUSD 196,000 - 269,500 annuallyFunction: Data Analytics & Business IntelligenceExperience: 4+ yearsEducation: mastersSkills: ["Communication","Leadership","Mentoring","Data quality focus","Stakeholder collaboration"]

Own the end-to-end Ads data foundation and models, designing scalable pipelines and production-grade data systems that power analytics for product launches and roadmaps. Partner with Product, Engineering, ML Applied Sciences, and Strategy & Analytics to translate business needs into reliable insights. Lead data quality, accessibility, and workflow improvements, including embedding AI to streamline pipeline development and automate routine analytical engineering tasks.

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Faire
Faire
16 hours ago

Senior Product Analytics Engineer - Ads

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Own the end-to-end Ads data foundation and models, designing scalable pipelines and production-grade data systems that power analytics for product launches and roadmaps. Partner with Product, Engineering, ML Applied Sciences, and Strategy & Analytics to translate business needs into reliable insights. Lead data quality, accessibility, and workflow improvements, including embedding AI to streamline pipeline development and automate routine analytical engineering tasks.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and optimize end-to-end scalable data pipelines and models for Ads domain architecture, features, and roadmap.
  • •Collaborate with engineers, product managers, S&A, and ML applied scientists to turn 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.
  • •Embed AI into daily workflows to improve productivity by streamlining pipeline development/operations and automating routine analytical tasks.
  • •Mentor team members on scalable data engineering and quantitative problem-solving while promoting data quality standards.

Pay and Benefits

Salary: USD 196,000 - 269,500 annually
Perks:Equity

Key Requirements

  • •4+ years in analytics and data engineering focused on data modeling, large-scale data processing, and tooling for analytics/data science use cases.
  • •Experience designing and optimizing production data pipelines, models, and workflows for analytics.
  • •Production-level development experience in Python and strong SQL skills for well-architected data models and query performance.
  • •Deep knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
  • •Experience with Airflow, Docker, DBT (or similar analytics workflow tools) and a bachelor’s or master’s degree in a technical field.
Experience:4+ yearsAds
Education:Master's in Computer Science, Math, Physics, or related technical field
Skills:CommunicationLeadershipMentoringData quality focusStakeholder collaboration
Tech Stack:PythonSQLAirflowDockerDBTETLData warehousingBig dataAI

Company Brief

Faire
Operates a wholesale marketplace connecting independent retailers with emerging and established brands, providing ordering, logistics, and payment solutions to help small businesses discover and stock unique products.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Headquarters: San Francisco, United States
Founded: 2017
WebsiteLinkedIn