The opportunity
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community.
What you'll do
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.
What they're looking for
- 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.
- –6 years in analytics engineering, data science, or applied AI with strong SQL and Python.
- + years of domain expertise in ads, retail, or e-commerce data.
