The opportunity
Instacart’s Catalog Operations team powers the data that makes shopping effortless. Catalog data represents the vast majority of what customers see when they browse, search, and buy.
What you'll do
Own data quality outcomes for the Health and Meals pillar by defining: accuracy and coverage goals for critical attributes (e.g., nutrition, dietary tags, allergens, preparation/meal context) and driving measurable improvements across the catalog.
Design, test, and operationalize LLM pipelines in partnership with Catalog: Engineering and ML, including prompt iterations, evaluation frameworks, and human-in-the-loop QA.
Develop robust SQL analyses to monitor health of the catalog, identify root: causes, prioritize fixes, and communicate performance and impact to cross-functional stakeholders.
Establish and continuously refine taxonomies, attribute definitions, and: normalization standards; author SOPs and quality guidelines that scale across internal teams, external content providers, and BPOs.
Manage day-to-day execution with external vendors and data partners (e.g.: BPOs), setting SLAs, creating QA workflows, and implementing sampling plans that improve precision and recall at scale.
Partner with Product, DS, and XFN teams to scope experiments, validate: assumptions, and translate insights into roadmaps that elevate discovery, search relevance, and conversion for health and meal oriented use cases.
What they're looking for
- Experience using AI tools (e.g. Claude Code, Codex) in your day to day.
- Experience with data wrangling, QA automation, and scaling manual processes.
- Experience building dashboards in Looker, Tableau, or Mode to track operational and quality KPIs.
- Track record of delivering results in dynamic, ambiguous environments while: communicating effectively with technical and non-technical audiences.
- Background in ecommerce, grocery/CPG data, or technology/startups.
