Ads AI Analytics Lead

This is a fully remote position, open to applicants in California, +18 more states.

📋 Description

• Develop ontologies and metrics for advertising campaigns, budgets, bids, creatives, audiences, and placements.

• Create dbt models and curated marts in Snowflake with well-defined data contracts, tests, and service level objectives (SLOs).

• Ingest and enhance unstructured Ads content, then publish retrieval-ready datasets utilizing our managed search/vector services.

• Design and assess retrieval workflows (RAG) using existing services for hybrid search and re-ranking; set quality and latency targets while iterating through experiments.

• Craft agent reasoning and policies pertaining to ads, including tool definitions and human-in-the-loop approval processes.

• Develop evaluation suites that cover precision and recall, calibration, hallucination rates, latency, and costs.

• Conduct A/B or uplift experiments to measure impact and inform future iterations.

• Convert Ads challenges into agent behaviors and take ownership of key performance indicators (KPIs) such as ROAS lift, pacing accuracy, RCA precision/recall, forecast MAPE, and time-to-insight.

⛳️ Requirements

• 3–6 years of experience in analytics engineering, data science, or applied AI, with a strong command of SQL and Python.

• Over 2 years of industry experience in ads, retail, or e-commerce data.

• Advanced skills in Python and SQL, with experience in dbt and Snowflake or BigQuery, including data modeling, testing, and managing data contracts.

• Extensive expertise in orchestrating data pipelines using dbt and Airflow.

• Familiarity with at least one data visualization tool (Tableau, Mode, Power BI, Looker, or similar).

• Capability to design offline and online evaluations and conduct A/B or uplift tests.

• Proficiency in Ads analytics concepts such as ROAS, CPA, CTR, CVR, LTV, pacing, auction dynamics, and incrementality.

• Strong communication skills with stakeholders and a proven history of delivering production data or AI systems that have led to business impact.

• Knowledge of machine learning models to inform recommendations on bids, keywords, and budgets.

• Experience with evaluation and guardrail frameworks, along with human-in-the-loop quality assurance.

🏝️ Benefits

• Competitive salary

• New hire equity grant

• Annual refresh grants

• Flexible work arrangements