Manager, AI Platform Engineering , Agent Platform Organization

Benefits

Parental leave

6 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

6 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Offered From the posting source checked Jun 20, 2026
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Offered From the posting source checked Jun 20, 2026

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

CAD 154K-258K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

U.S. benchmark only; posted salary is not compared across countries or currencies.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Manager, AI Platform Engineering , Agent Platform Organization Toronto, Ontario, CAN We are looking for a Manager of AI Platform Engineering to lead a team of AI platform engineers building and operating the data pipelines, models, and platform infrastructure that power core analytics, science and AI intatives. You will own the delivery and operational health of multiple business domains, build and mentor a high-performing team, and help evolve our self-service offerings from reactive dashboards to proactive agent driven approaches. Your team will use AI development IDEs and generative AI tooling daily, and will build multi-agent solutions that automate common data engineering and BI tasks (e.g. pipeline generation, data quality enforcement, testing, and operational response). You will guide this evolution, helping your engineers develop fluency with agentic tooling while maintaining the data engineering fundamentals that everything depends on. You will also help your engineers develop and deploy agents, that solve common Analytics use cases around monitoring, anomaly detection, and insight generation. You will also partner with business intelligence, applied science, and product teams to translate data needs into technical roadmaps, and contribute to shared platform infrastructure when the work calls for it. Basic Qualifications: - 3+ years of engineering team management experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps - - 7+

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