Engineering Manager, Software

This is a fully remote position, open to applicants in Canada.

📋 Description

• Lead, mentor, and develop a team of engineers responsible for creating the platforms, pipelines, and interfaces that facilitate catalog enrichment and machine learning access to catalog data.

• Define and implement the technical roadmap, balancing investments in new platforms with reliability, observability, and an enhanced developer experience for an expanding user base.

• Build and manage an AI-native enrichment platform that integrates large language models (LLMs), classical machine learning, rules, workflow orchestration, and human review into pipelines that non-engineers can configure and operate.

• Propel the transition towards autonomous pipeline construction, allowing users to articulate goals in straightforward language, while the system assembles, evaluates, and optimizes workflows.

• Own the machine learning-facing catalog data layer, encompassing canonical product metadata and the policy controls that distinguish internal model inputs from customer-facing applications.

• Collaborate with machine learning, search, advertising, commerce, and retail teams to optimize data flows from end to end and eliminate integration barriers.

• Advocate for transparent, human-readable controls for source prioritization, rights management, licensing, and compliance to ensure accountable governance.

• Enhance developer and operator productivity through AI-assisted integration testing, investigative tools, and on-call automation; establish and fulfill service level agreements (SLAs) on core attributes and model usage.

• Actively participate in architecture discussions, design reviews, and code reviews, particularly in new or exploratory areas.

⛳️ Requirements

• Over 7 years of software engineering experience, including more than 2 years in a leadership role managing engineers.

• Proven experience in leading teams that develop and maintain production data or machine learning platforms, incorporating both batch and streaming components.

• Strong background in distributed systems, data pipelines, and workflow orchestration, with demonstrated capability in build/buy/partner decision-making.

• Accountability for data quality, coverage, or compliance commitments, with examples of frameworks and processes utilized to achieve them.

• Exceptional written and verbal communication skills, with the ability to convey complex technical work to diverse audiences.

• Experience with catalog, commerce, or product data platforms functioning at a large scale.

• Hands-on experience with workflow orchestration systems (e.g., Temporal, Airflow, Flink) and their operation in production environments.

• Experience in delivering applied AI/ML features in production, with an understanding of the trade-offs among LLMs, classical machine learning, deterministic rules, and human review.

• Proven track record of successful collaboration across machine learning, product, and operations to achieve outcomes that necessitate alignment and shared objectives.

• Familiarity with data governance, rights management, and licensing controls in environments with multiple stakeholders.

• Experience in developing pipeline builders, low-code/no-code tools, or internal platforms utilized by non-engineers.

• Background in developer productivity tools, including AI-assisted testing and investigative workflows.

• Successful experience in rapidly evolving environments where both the platform and the team are in development.

🏝️ Benefits

• Highly market-competitive compensation

• New hire equity grant

• Annual refresh grants