Engineering Manager, Software

🕒 May 14

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Instacart

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🛍️ eCommerce

🚗 Transport

🛒 Retail

💰 $232M Venture Round on 2021-11

eCommerce • Transport • Retail

Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. Instacart emphasizes diversity, equity, and belonging in its work culture.

📋 Description

• Lead, mentor, and grow a team of engineers who build the platform, pipelines, and interfaces that power catalog enrichment and ML access to catalog data. • Define and execute the technical roadmap, balancing new platform investments with reliability, observability, and developer experience for a growing user base. • Build and operate an AI-native enrichment platform that blends LLMs, classical ML, rules, workflow orchestration, and human review into pipelines non-engineers can configure and run. • Drive the evolution toward autonomous pipeline construction, where users express goals in plain language and the system assembles, evaluates, and optimizes workflows. • Own the ML-facing catalog data layer, including canonical product metadata and the policy controls that separate internal model inputs from customer-facing use cases. • Partner with ML, search, ads, commerce, and retailer teams to streamline data flows end to end and remove integration friction. • Advocate for clear, human-readable controls for source prioritization, rights management, licensing, and compliance to ensure auditable governance. • Boost developer and operator productivity via AI-assisted integration testing, investigation tooling, and on-call automation; set and meet SLAs on core attributes and model usage. • Contribute hands-on to architecture discussions, design reviews, and code reviews, especially in new or exploratory areas.

🎯 Requirements

• 7+ years of software engineering experience, including 2+ years managing engineers as a people leader. • Experience leading teams that build and operate production data or ML platforms, including both batch and streaming components. • Strong foundation in distributed systems, data pipelines, and workflow orchestration, with demonstrated build/buy/partner decision-making. • Ownership of data quality, coverage, or compliance commitments, with examples of frameworks and processes used to meet them. • Excellent written and verbal communication skills, including the ability to translate complex technical work for diverse audiences. • Experience with catalog, commerce, or product data platforms operating at large scale. • Hands-on experience with workflow orchestration systems (e.g., Temporal, Airflow, Flink) and running them in production. • Experience shipping applied AI/ML features in production and understanding trade-offs across LLMs, classical ML, deterministic rules, and human review. • Proven success partnering across ML, product, and operations to deliver outcomes that require alignment and shared goals. • Familiarity with data governance, rights management, and licensing controls in multi-stakeholder environments. • Experience building pipeline builders, low-code/no-code tooling, or internal platforms used by non-engineers. • Background in developer productivity tooling, including AI-assisted testing and investigation workflows. • Success operating in fast-growing environments where both the platform and team are evolving.

🏖️ Benefits

• Highly market-competitive compensation • New hire equity grant • Annual refresh grants