Engineering Manager, Software, Catalog Enrichment

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engineering Manager, Software, Catalog Enrichment based in Canada.

This role offers the opportunity to lead a team building AI-powered platforms that shape how millions of products are discovered, organized, and experienced by customers. You will oversee the development of large-scale data and ML systems that improve product information quality, search relevance, and personalization. The position combines engineering leadership, technical strategy, and hands-on problem solving in a highly collaborative environment. You will work across machine learning, product, operations, and commerce teams to deliver scalable solutions with measurable business impact. This is an opportunity to influence the future of intelligent data platforms while mentoring engineers and driving technical excellence. Ideal for a leader who enjoys solving complex platform challenges, building teams, and creating systems that transform customer experiences.

Accountabilities:: Lead, mentor, and develop a team of software engineers responsible for building platforms, pipelines, and interfaces that power catalog enrichment and ML access to product data.

Define and execute the technical roadmap, balancing platform innovation with reliability, scalability, observability, and developer experience.

Build and evolve AI-native enrichment systems that combine large language models, machine learning, workflow orchestration, rules-based systems, and human review processes.

Drive the development of intelligent pipeline automation that enables users to create, evaluate, and optimize workflows through intuitive experiences.

Own the architecture and evolution of ML-facing data systems, including product metadata management, governance policies, and data-sharing frameworks.

Partner with cross-functional teams including machine learning, search, advertising, operations, and business stakeholders to improve data flows and platform capabilities.

Establish clear controls and processes for data quality, source prioritization, rights management, licensing, and compliance.

Improve engineering productivity through automation, AI-assisted tooling, testing frameworks, investigation workflows, and operational improvements.

Participate in technical architecture discussions, design reviews, and code reviews while contributing hands-on to complex engineering challenges.

Requirements:

7+ years of software engineering experience, including at least 2 years managing engineering teams as a people leader.

Proven experience leading teams that build and operate production-scale data platforms, ML systems, or complex backend infrastructure.

Strong understanding of distributed systems, data pipelines, workflow orchestration, and architectural decision-making.

Experience owning data quality, reliability, compliance, or operational commitments through effective processes and frameworks.

Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.

Experience building scalable platforms in fast-growing environments with evolving technical and organizational needs.

Familiarity with catalog, commerce, or product data platforms operating at significant scale is a strong advantage.

Hands-on experience with workflow orchestration technologies such as Temporal, Airflow, or Flink is preferred.

Experience delivering AI or ML-powered products in production, including understanding trade-offs between LLMs, traditional machine learning, rules-based approaches, and human review.

Background in data governance, licensing, rights management, internal platforms, or developer productivity tooling is an asset.

Strong leadership mindset with the ability to inspire teams, create alignment, and drive impactful outcomes.

Benefits:

Competitive annual base salary range of CA$196,000–CA$207,000.

Eligibility for new hire equity grants and annual equity refresh opportunities.

Flexible remote work model with the ability to work from home, an office, or another preferred workspace.

Comprehensive benefits package designed to support employee health and well-being.

Opportunities for professional growth, learning, and career development.

Chance to work on large-scale technology challenges impacting millions of customers and businesses.

Collaborative environment focused on innovation, ownership, and building impactful products.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1