Job Description
📋 Description Define ad data frameworks, ontologies, and metrics across campaigns and assets. Build and maintain data models, datasets, and analytics pipelines with scalable engineering. Develop AI agents to analyze ads, diagnose issues, and improve campaigns. Design retrieval-augmented workflows (search, ranking, grounding, evaluation) for AI insights. Create and optimize agent reasoning systems, tools, and governance with safeguards. Establish evaluation frameworks and dashboards to measure quality, accuracy, latency, cost, impact. Run experiments and A/B tests to quantify improvements in advertising metrics. Collaborate with product, engineering, data, sales, and business teams. Own end-to-end projects from data infra and modeling to AI logic, deployment. Improve operational efficiency via automation, tooling, and AI workflows. 🎯 Requirements 4–7 years in analytics engineering, data science, or applied AI. Advanced Python and SQL; experience building production data/AI solutions. Experience with advertising, retail, or e-commerce data. Hands-on dbt and cloud platforms (Snowflake/BigQuery) with modeling, testing, governance. Experience with Airflow-like tools for data pipelines and reliability. Design and evaluate experiments and A/B tests to measure impact. Strong knowledge of ROAS, CPA, CTR, CVR, LTV, pacing, and auctions. Experience delivering production data/AI systems with measurable outcomes. Familiarity with AI evaluation methods, guardrails, retrieval workflows, and human-in-the-loop. Experience with BI tools such as Looker, Tableau, Mode, or Power BI. Bachelor’s degree in CS/Engineering/Statistics or equivalent. Experience building AI-powered products, agents, retrieval systems, or retail media assets is a plus. 🎁 Benefits Competitive CA$140,000–CA$148,000 base salary. Eligibility for equity grants and annual refresh opportunities. Flexible remote work model for eligible Canadian provinces. Opportunity to build AI solutions with direct impact on ads performance and growth. Collaborative, cross-functional environment with product, engineering, data, and commercial teams. Access to professional development opportunities and resources. Contribute to cutting-edge AI initiatives in a fast-evolving tech environment.
