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Engineering Manager, Software

Engineering ManagerEngineering ManagerFull TimeRemoteLeadTeam 1,001-5,000Since 2012H1B SponsorCompany SiteLinkedIn

Location

Canada

Posted

22 days ago

Salary

$196K - $207K / year

Seniority

Lead

Bachelor Degree7 yrs expEnglishAirflowDistributed Systems

Job Description

Engineering Manager, Software

Instacart

• 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.

Job 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

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Job Closed