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.

As an Ads AI Analyst, you will be at the forefront of AI-driven advertising intelligence, turning complex data into actionable insights that optimize campaign performance and revenue growth. In this role, you will design and build AI agents that analyze advertising campaigns, diagnose issues, and recommend actions to improve key performance metrics such as ROAS, pacing, and conversion outcomes. You will collaborate closely with product, data science, and engineering teams to deploy production-grade AI solutions, contributing directly to measurable business impact. The environment is highly dynamic and data-intensive, offering the opportunity to work with cutting-edge machine learning tools, advanced analytics, and large-scale data pipelines. Your work will influence strategic decisions and enable smarter, faster, and more scalable advertising solutions.

Accountabilities:

• Define ontologies, metrics, and data structures for campaigns, budgets, bids, creatives, audiences, and placements.
• Build and maintain data pipelines, dbt models, and curated marts in Snowflake or similar platforms, ensuring clear data contracts, quality tests, and SLOs.
• Ingest, enrich, and publish unstructured advertising content, creating retrieval-ready datasets for AI agents.
• Design, evaluate, and iterate on retrieval workflows, agent reasoning, and human-in-the-loop processes to optimize ad recommendations.
• Establish evaluation frameworks to measure precision, recall, latency, calibration, hallucination rates, and cost-effectiveness.
• Run A/B and uplift experiments to quantify performance improvements and guide ongoing optimization.
• Translate complex advertising problems into actionable agent behaviors and track KPIs such as ROAS lift, pacing accuracy, and forecast precision.

Requirements:

• 3–6 years of experience in analytics engineering, data science, or applied AI, with strong SQL and Python skills.
• 2+ years of domain expertise in advertising, retail, or e-commerce analytics.
• Advanced proficiency in Python, SQL, dbt, and cloud data warehouses (Snowflake or BigQuery).
• Experience designing and orchestrating data pipelines using dbt and Airflow.
• Familiarity with data visualization tools such as Tableau, Mode, Power BI, or Looker.
• Strong understanding of ad performance metrics (ROAS, CPA, CTR, CVR, LTV, pacing, auction dynamics, incrementality).
• Proven ability to design offline/online evaluations, run A/B tests, and deliver production AI or analytics solutions.
• Excellent communication skills for collaborating with cross-functional stakeholders and presenting insights.
• Knowledge of ML concepts for bid, keyword, and budget recommendations; experience with human-in-the-loop QA and evaluation frameworks.
• Preferred: experience with retail media platforms, workflow automation tools, low-code platforms, or ad forecasting/anomaly detection models.

Benefits:

• Competitive salary range: $115,000 – $121,500 CAD, with eligibility for equity grants.
• Flexible remote work arrangements under a Flex First policy.
• Comprehensive benefits package including healthcare, dental, vision, and retirement plans.
• Opportunities for career growth and advancement in a cutting-edge AI and advertising environment.
• Access to ongoing learning, professional development, and training programs.
• Collaborative, inclusive, and innovative workplace culture.

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.
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