Executive Partner – Chief Audit Executives
Gartner
Partner Intelligence Lead II – Ads
Instacart
full-time
Posted on:
Location Type: Remote
Location: Remote • California, Colorado, Connecticut, District of Columbia, Hawaii, Illinois, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Oregon, Pennsylvania, Rhode Island, Texas, Vermont, Virginia, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $127,000 - $170,000 per year
Job Level
Senior
Tech Stack
AirflowBigQueryPythonSQLTableau
About the role
- Own the intelligence behind our Ads agents.
- Design the Ads semantic/context layer and build vertical AI agents that analyze campaigns, diagnose performance, and recommend actions that improve ROAS, pacing, and partner outcomes.
- Partner with Ads GTM, Product, Data Science, and Engineering to ship production agents with measurable lift.
- Define Ads ontologies and metrics for campaigns, budgets, bids, creatives, audiences, and placements.
- Build dbt models and curated marts in Snowflake with clear data contracts, tests, and SLOs.
- Ingest and enrich unstructured Ads content and publish retrieval‑ready datasets using our managed search/vector services.
- Design and evaluate retrieval workflows (RAG) with existing services for hybrid search and re‑ranking; set quality/latency targets and iterate via experiments.
- Design agent reasoning and policies on ads, including tool definitions and human‑in‑the‑loop approvals.
- Establish evaluation suites covering precision/recall, calibration, hallucination rate, latency, and cost.
- Run A/B or uplift experiments to quantify impact and guide iteration.
- Translate Ads problems into agent behaviors and own KPIs such as ROAS lift, pacing accuracy, RCA precision/recall, forecast MAPE, and time‑to‑insight.
Requirements
- 4–7 years in analytics engineering, data science, or applied AI with strong SQL and Python.
- 2+ years of domain expertise in ads, retail, or e-commerce data.
- Advanced Proficiency in Python and SQL, with experience using dbt and Snowflake or BigQuery, including skills in data modeling, testing, and managing data contracts.
- Deep Expertise in orchestrating data pipelines using dbt and Airflow
- Experience with at least one data visualization tool (Tableau, Mode, Power BI, Looker, or similar)
- Ability to design offline/online evaluations and run A/B or uplift tests
- Fluency in Ads analytics concepts such as ROAS, CPA, CTR, CVR, LTV, pacing, auction dynamics, and incrementality.
- Strong stakeholder communication with a track record of shipping production data or AI systems that drove business impact.
- Understanding of ML models to drive recommendations on bid, keywords, and budgets
- Experience with evaluation and guardrail frameworks and human‑in‑the‑loop QA.
Benefits
- Competitive salary
- Health insurance
- Flexible work arrangements
- Professional development opportunities
- New hire equity grant
- Annual refresh grants
- Paid time off
- Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythondbtSnowflakeBigQuerydata modelingdata testingdata pipeline orchestrationA/B testingevaluation frameworks
Soft skills
stakeholder communicationproblem translationiteration guidancecollaboration
