Instacart

grocery

EngineeringManager,Software

CA$196–207k Ontario, Canada; British Columbia, Canada Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Engineering Manager, Software at Instacart. Skills: leading a team of engineers, building AI-native platform and pipelines, managing ML-facing interfaces, driving autonomous pipeline construction, owning ML-facing catalog data layer, partnering with cross-functional teams. 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 investm”

What You'll Achieve.

drive measurable impact across Instacart’s ecosystem; set and meet SLAs on core attributes and model usage

Industry & Context.

grocery
Problems you'll solve

turning ambiguity into clarity; rolling up sleeves on hard technical problems

Eligibility Requirements

on-call

What They're Looking For.

Must Have

7+ years of software engineering experience, 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, Foundation in distributed systems, data pipelines, and workflow orchestration, Ownership of data quality, coverage, or compliance commitments, Excellent written and verbal communication skills

Nice to Have

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

What You'll Do.

and grow a team of engineers who build the platform

and interfaces that power catalog enrichment and ML access to catalog data

Define and execute the technical roadmap

balancing new platform investments with reliability

and developer experience

Build and operate an AI-native enrichment platform that blends LLMs

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

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

and retailer teams to streamline data flows end to end and remove integration friction

human-readable controls for source prioritization

and compliance to ensure auditable governance

Boost developer and operator productivity via AI-assisted integration testing

investigation tooling

Set and meet SLAs on core attributes and model usage

Contribute hands-on to architecture discussions

especially in new or exploratory areas

How You'll Work.

Team & Collaboration

Partner closely with ML, product, operations, search, ads, and retailer teams; Partner with ML, search, ads, commerce, and retailer teams to streamline data flows end to end and remove integration friction; Proven success partnering across ML, product, and operations to deliver outcomes that require alignment and shared goals

Communication Scope

Excellent written and verbal communication skills; ability to translate complex technical work for diverse audiences

Process & Methodology

Define and execute the technical roadmap

Full Job Description

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 th

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