Jobs / Canada / Maplebear INC D/b/a Instacart

Engineering Manager, Catalog

Maplebear INC D/b/a Instacart · 🇨🇦 Canada - Remote (ON, AB, BC, or NS Only) · Remote

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  • No government sponsor record hereNo government sponsor record covers this employer in this country.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeCanada has no single salary bar: the employer usually needs a positive LMIA. Pay at or above the provincial median wage + 20% (e.g. C$36.92/h in Ontario) puts it in the high-wage stream. Source: https://www.canada.ca/en/employment-social-development/services/foreign-workers/median-wage.html, rules effective 2026-07-17.
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Sponsor Radar — Maplebear INC D/b/a Instacart

Sponsorship not verified for this country

No government sponsor record covers this employer in this country.

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Maplebear INC D/b/a Instacart →

About the role

We're transforming the grocery industry 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. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart is the North American leader in online grocery, and we’re building the operating system for the grocery industry so people can access the food they love and more time to enjoy it together. We’re looking for an Engineering Manager to lead our Catalog Enrichment team. This team builds the AI-native platform and pipelines that create, enrich, and maintain product attributes across a catalog of tens of millions of products from more than 100,000 retailer locations. Catalog data is the foundation of our marketplace: when attributes are complete and accurate, search returns the right results, recommendations feel personal, and advertisers can target with confidence. In this role, you’ll lead a team of engineers building systems that blend large language models, classical inference, workflow orchestration, and human review into configurable pipelines that non-engineers can run. You’ll also own the ML-facing interfaces to catalog data, including policies that govern how attributes are sourced, shared, and licensed across downstream models and customer surfaces. You will partner closely with ML, product, operations, search, ads, and retailer teams to drive measurable impact across Instacart’s ecosystem. About the Job This is a fast-paced, highly cross-functional environment. You’ll thrive if you enjoy building platforms at scale, turning ambiguity into clarity, and mentoring engineers while rolling up your sleeves on hard technical problems. • 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 in

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Source: Greenhouse (employer board) First seen: 2026-08-18 Last confirmed: 2026-10-03 How our data works → Report this job

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