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Instacart

Senior

Engineering Manager, Catalog Enrichment at Instacart — leading an AI-native platform team enriching tens of millions of grocery products

Instacart is hiring an Engineering Manager to lead the Catalog Enrichment team, which builds the AI-native platform and pipelines (blending LLMs, classical ML, workflow orchestration, and human review) that create and maintain product attributes across tens of millions of SKUs from 100,000+ retailer locations. The role requires 7+ years of engineering experience with 2+ years as a people leader, deep distributed-systems/data-pipeline background, and ownership of the ML-facing data layer including governance and licensing policy.

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What this interview tests

  • Engineering management: building/leading teams operating production data or ML platforms
  • Architecting pipelines that blend LLMs, classical ML, rules, and human review
  • Workflow orchestration systems (e.g., Temporal, Airflow, Flink) in production
  • Data governance: source prioritization, rights management, licensing, auditability
  • Data quality/coverage/compliance ownership and SLA frameworks
  • Cross-functional partnership across ML, search, ads, commerce, and retailer teams

Common question themes

Tell me about a production data or ML platform team you led, including batch and streaming components

How do you decide when to use an LLM vs. classical ML vs. a deterministic rule for a data pipeline

Describe your experience with a workflow orchestration system in production

How would you design governance controls that separate internal model inputs from customer-facing data

Tell me about a data quality or compliance SLA you owned and how you met it

How do you drive alignment across ML, product, and operations teams with different goals

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