This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Ads AI Analytics Lead based in the United States.
This role sits at the intersection of advertising analytics, machine learning, and applied AI, with a direct impact on how large-scale ad systems optimize performance and deliver business outcomes. You will design and build the intelligence layer behind next-generation ad agents that analyze campaign performance, diagnose inefficiencies, and recommend high-impact actions. Working within an AI-first environment, you will translate complex advertising data into structured semantic systems that power automated decision-making across budgets, bidding, and creative optimization. This position offers the opportunity to shape how advanced analytics and generative systems improve ROAS, pacing accuracy, and overall advertiser outcomes. You will collaborate closely with product, data science, and engineering teams to ship production-grade AI systems with measurable business impact. The role is highly cross-functional and experimental, combining rigorous analytics engineering with real-world applied AI deployment at scale.
Accountabilities:
- Define and maintain Ads ontologies and semantic frameworks covering campaigns, budgets, bids, creatives, audiences, and placements.
- Build and optimize dbt models and curated data marts in Snowflake with robust data contracts, testing, and quality standards.
- Design and implement data pipelines for structured and unstructured Ads data using modern orchestration and transformation tools.
- Develop retrieval-augmented generation (RAG) workflows for Ads intelligence, including hybrid search, ranking, and evaluation systems.
- Create agent reasoning frameworks, tool definitions, and policy guardrails for AI-driven Ads decision-making systems.
- Design and execute experimentation frameworks, including A/B tests and uplift analyses to measure business impact.
- Establish evaluation metrics for AI systems, including precision, recall, latency, calibration, hallucination rate, and cost efficiency.
- Translate advertising business challenges into measurable agent behaviors and performance KPIs such as ROAS, CPA, CTR, CVR, pacing, and incrementality.
- Build dashboards and reporting layers to communicate insights using visualization tools and analytics platforms.
- Collaborate with engineering and product teams to ship scalable, production-ready AI and analytics systems.
- Continuously improve model outputs and system performance through iterative experimentation and feedback loops.
Requirements
- 3–6 years of experience in analytics engineering, data science, or applied AI roles.
- 2+ years of experience working with advertising, retail media, or e-commerce data domains.
- Strong proficiency in SQL and Python, with hands-on experience in dbt and Snowflake or BigQuery.
- Deep understanding of data modeling, testing frameworks, and data contract principles.
- Experience building and orchestrating data pipelines using tools such as dbt and Airflow.
- Familiarity with data visualization tools such as Looker, Tableau, Power BI, or equivalent platforms.
- Solid understanding of advertising performance metrics including ROAS, CPA, CTR, CVR, LTV, and auction dynamics.
- Experience designing and running A/B tests, uplift models, or other experimentation frameworks.
- Understanding of machine learning concepts applied to recommendations, forecasting, or optimization problems.
- Strong communication skills with a proven ability to deliver insights that influence business decisions.
- Experience working with evaluation frameworks, guardrails, and human-in-the-loop validation systems.
- Ability to operate in fast-paced, cross-functional environments and deliver production-grade data or AI systems.
- Familiarity with workflow automation tools and modern AI/ML product development practices is a plus.
Benefits
- Competitive US-based salary ranging from $131,000 to $165,000, depending on location.
- Equity grants and eligibility for annual refresh awards.
- Fully remote work with flexible arrangements under a “flex-first” culture.
- Comprehensive medical, dental, and vision insurance coverage.
- Paid time off, holidays, and parental leave benefits.
- 401(k) retirement savings plan.
- Opportunity to work on cutting-edge AI-driven advertising systems at scale.
- Strong culture of experimentation, innovation, and data-driven decision-making.
- Career growth opportunities within advanced analytics and AI product development domains.