Ads AI Analyst

Job Description

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Ads AI Analyst in Canada. This role sits at the intersection of advertising analytics, machine learning, and AI-driven product development, focused on building intelligent systems that optimize advertising performance at scale. You will design and operationalize the semantic and data foundations that power next-generation Ads AI agents, enabling automated insights, recommendations, and decision-making across campaigns. The position plays a critical role in improving revenue efficiency and advertiser outcomes by leveraging advanced analytics, experimentation, and retrieval-based AI systems. You will work in a highly cross-functional environment, partnering with product, data science, and engineering teams to translate complex advertising challenges into scalable AI solutions. This is a highly technical and impactful role where your work directly influences ROAS, pacing accuracy, and commercial performance. You will help shape the future of automated advertising intelligence in a fast-moving, data-first organization.
• Accountabilities: Define and maintain Ads data ontologies, including campaigns, budgets, creatives, audiences, bids, and placements. Build and optimize dbt models and curated datasets in Snowflake or equivalent warehouse environments. Design and manage data pipelines, ensuring high-quality, tested, and well-documented data contracts. Develop and improve retrieval-augmented generation (RAG) workflows for Ads intelligence systems. Ingest, structure, and enrich unstructured advertising data into retrieval-ready datasets for AI agents. Define evaluation frameworks for Ads AI systems, including precision, recall, latency, and hallucination metrics. Design and run A/B tests and uplift experiments to measure impact and improve model and agent performance. Translate advertising business problems into AI agent behaviors and measurable KPIs (ROAS, CTR, CVR, pacing, etc.). Collaborate closely with engineering, product, and data science teams to deploy production-ready AI systems. Monitor and optimize performance of Ads intelligence systems to ensure reliability, accuracy, and scalability. Requirements: 3–6+ years of experience in analytics engineering, data science, applied AI, or data product roles. 2+ years of experience working with advertising, e-commerce, or retail data domains. Strong proficiency in SQL and Python for data modeling, analysis, and automation. Hands-on experience with dbt and Snowflake or BigQuery, including data modeling and testing. Experience building and orchestrating data pipelines using tools such as dbt and Airflow. Strong understanding of advertising metrics such as ROAS, CTR, CPA, CVR, LTV, and incrementality. Experience designing A/B tests, uplift experiments, and evaluation frameworks for data or AI systems. Familiarity with BI tools such as Tableau, Looker, Power BI, or Mode. Strong understanding of ML concepts including forecasting, anomaly detection, and recommendation systems. Excellent communication skills with a proven ability to deliver production-grade data or AI products. Nice to have: experience with RAG systems, evaluation guardrails, and human-in-the-loop workflows. Nice to have: exposure to retail media platforms such as Amazon Ads, Google Ads, Meta Ads, or similar ecosystems. Benefits: Competitive annual compensation aligned with the Canadian market (~115,000–121,500 CAD base salary) Equity grant and annual refresh equity opportunities Fully remote work with Flex First culture across eligible Canadian provinces Comprehensive health, dental, and vision coverage Paid time off and flexible vacation policy Access to learning and professional development resources Inclusive, collaborative, and innovation-driven work culture Opportunity to work on large-scale AI-powered advertising systems Exposure to cutting-edge applied AI and experimentation frameworks Strong cross-functional collaboration in a high-impact product environment
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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