# Engineering Manager, Software, Catalog Enrichment

**Company:** [Instacart](https://hotfix.jobs/companies/instacart)
**Location:** Remote
**Role:** Engineering Management
**Salary:** CA$196k – CA$207k/yr
**Experience:** 7+ years
**Skills:** Distributed Systems, Data Pipelines, Workflow Orchestration, Machine Learning, LLMs, Classical Machine Learning, Temporal, Airflow, Flink, Streaming Data, Data Governance, Rights Management, Licensing, Observability, Integration Testing
**Posted:** 2026-08-05

> Leads and grows an engineering team building AI-native catalog enrichment platforms and ML-facing data interfaces at scale. The role requires substantial software engineering and people-management experience, plus expertise in distributed systems, data pipelines, and workflow orchestration.

## Job Description

## Responsibilities
- Lead, mentor, and grow a team of engineers building the platform, pipelines, and interfaces that power catalog enrichment and ML access to catalog data.
- Define and execute the technical roadmap, balancing platform investments with reliability, observability, and developer experience.
- Build and operate an AI-native enrichment platform combining LLMs, classical ML, rules, workflow orchestration, and human review.
- Drive 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 policy controls for internal model inputs and customer-facing use cases.
- Partner with ML, search, ads, commerce, and retailer teams to streamline data flows and remove integration friction.
- Establish human-readable controls for source prioritization, rights management, licensing, and compliance.
- Improve developer and operator productivity through AI-assisted integration testing, investigation tooling, and on-call automation.
- Set and meet SLAs for core attributes and model usage.
- Contribute to architecture discussions, design reviews, and code reviews.

## Requirements
- 7+ years of software engineering experience, including 2+ years managing engineers as a people leader.
- Experience leading teams building and operating production data or ML platforms with batch and streaming components.
- Strong foundation in distributed systems, data pipelines, and workflow orchestration.
- Demonstrated build, buy, and partner decision-making.
- Experience owning data quality, coverage, or compliance commitments.
- Excellent written and verbal communication skills.

## Nice-to-haves
- Experience with catalog, commerce, or product data platforms at large scale.
- Production experience with workflow orchestration systems such as Temporal, Airflow, or Flink.
- Experience shipping applied AI/ML features and evaluating trade-offs among LLMs, classical ML, deterministic rules, and human review.
- Cross-functional partnership experience with ML, product, and operations teams.
- Familiarity with data governance, rights management, and licensing controls.
- Experience building pipeline builders, low-code/no-code tooling, or internal platforms for non-engineers.
- Developer productivity tooling experience, including AI-assisted testing and investigation workflows.
- Experience operating in fast-growing environments where the platform and team are evolving.

## Compensation and Benefits
- Base pay for Canadian candidates: **CA$196,000–CA$207,000 CAD**.
- Compensation depends on permanent work location, experience, and required skills.
- Eligible for a new hire equity grant and annual refresh grants.
- Benefits are provided according to the employee’s work location.

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