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Instacart invites the world to share love through food. This is how homemade is made.
Director of Engineering, Catalog Content
Location
California + 17 moreAll locations: California | Colorado | Connecticut | Hawaii | Illinois | Maine | New Hampshire | New Jersey | New York | Oregon | Maryland | Massachusetts | Pennsylvania | Rhode Island | Texas | Vermont | Virginia | Washington
Posted
60 days ago
Salary
$254K - $321K / year
Seniority
Lead
Job Description
Director of Engineering, Catalog Content
Instacart
• Own the end-to-end technical strategy for an agentic catalog platform, combining distributed systems, data pipelines, and AI/ML-driven automation to ingest, normalize, enrich, and validate product content at scale. • Lead, organize, and scale a multi-team engineering organization of approximately 40+ total reports (including managers and senior ICs), setting clear goals, establishing robust operating mechanisms, and developing talent. • Deliver platform reliability and quality by setting and meeting availability, latency, and accuracy SLAs; mature on-call, incident response, observability, and data-quality guardrails. • Partner cross-functionally with Product, ML, Data Science, and Operations to prioritize roadmaps, run experiments, and ship features that improve discovery, search relevance, substitution quality, pricing accuracy, and regulatory compliance. • Drive build/buy decisions, vendor selection, and budget stewardship for key capabilities (e.g., vector search, embeddings, OCR, image understanding, and content moderation) while ensuring privacy, security, and brand safety. • Champion a culture of transparency, inclusion, and continuous improvement—aligning teams to clear outcomes, sharing progress openly, and celebrating wins that grow the pie for customers, shoppers, retailers, and brands.
Job Requirements
- 15+ years of professional software engineering experience building and operating large-scale platforms or data-intensive systems.
- 7+ years of experience leading engineering managers and multiple teams, with direct responsibility for organizations of 30+ engineers.
- Proven experience delivering large-scale data pipelines and services (batch and streaming) in cloud environments (e.g., AWS or GCP), including event-driven architectures and microservices.
- Demonstrated ownership of platform reliability and data quality with defined SLAs/SLOs, on-call practices, and incident management.
- Track record shipping production systems that leverage ML/AI (e.g., LLMs, information retrieval, content understanding, or automated data enrichment) and integrating them into user-facing or platform workflows.
- Experience hiring, coaching, and performance-managing engineering managers and senior engineers; building diverse, high-performing teams.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Strong cross-functional collaboration experience with Product, Data Science/ML, and Operations to define roadmaps and deliver measurable business outcomes.
Benefits
- Annual equity grants
- Highly market-competitive compensation
- Flexible work arrangements
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