Ads AI Analyst

This is a fully remote position, open to applicants in Canada.

📋 Description

• Define ontologies and metrics for advertisements, including campaigns, budgets, bids, creatives, audiences, and placements.

• Create dbt models and curated marts in Snowflake, ensuring clear data contracts, testing, and service level objectives (SLOs).

• Ingest and enhance unstructured advertisement content, publishing retrieval-ready datasets through our managed search and vector services.

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

• Develop reasoning agents and policies for ads, incorporating tool definitions and human-in-the-loop approval processes.

• Establish evaluation suites that encompass precision and recall, calibration, hallucination rates, latency, and cost.

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

• Convert advertisement challenges into agent behaviors and take ownership of key performance indicators 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 domain knowledge in advertising, retail, or e-commerce data.

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

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

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

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

• Familiarity with advertising analytics concepts including 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 generated business impact.

• Understanding of machine learning models to provide recommendations on bids, keywords, and budgets.

• Experience with evaluation frameworks and guardrails, as well as human-in-the-loop quality assurance.

🏝️ Benefits

• Competitive compensation

• Equity grants

• Annual refresh grants

• Flex First remote work policy