Ads AI Analytics Lead II

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Define Ads ontologies and canonical metrics across campaigns, budgets, bids, creatives, audiences, and placements to power consistent reasoning and recommendations.
• 2
  Build robust dbt models and curated marts in Snowflake or BigQuery with clear data contracts, tests, SLOs, and monitoring.
• 3
  Design and evaluate RAG workflows with explicit quality and latency targets and iterate via offline/online experiments to improve performance.
• 4
  Establish evaluation suites and dashboards tracking precision/recall, calibration, hallucination rate, latency, and cost and drive continuous model and system improvements.
• 5
  Partner with Ads Product, Ads Engineering, Sales leadership, Data Engineering, and R&D to align roadmaps, de-risk launches, and ship high-quality production agents.

RequirementsAI-extracted

• 4-7 years of experience in analytics engineering, data science, or applied AI, with advanced proficiency in Python and SQL.
• 2+ years working with ads, retail, or e-commerce data.
• Hands-on experience with dbt and Snowflake or BigQuery, including data modeling, testing, documentation, and managing data contracts.
• Experience orchestrating data pipelines with Airflow or a similar scheduler, including alerting and on-call support for data SLOs.
• Ability to design and run offline/online evaluations and A/B or uplift tests, with familiarity with experiment design and statistical inference.

Perks & BenefitsAI-extracted