Job Description

Locations

• Canada, ON, ON, Canada
• Canada, ON, Toronto, Toronto, ON, Canada

Salary

Skills Required

• - 10+ years of management of technical, enterprise customer facing resources or equivalent experienceintermediate
• - 10+ years of infrastructure architecture, database architecture and networking experienceintermediate
• - Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.intermediate

Required Qualifications

• - 10+ years of management of technical, enterprise customer facing resources or equivalent experience (experience, 10 years)
• - 10+ years of infrastructure architecture, database architecture and networking experience (experience, 10 years)
• - Bachelor's degree (degree)
• - Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc. (experience)

Preferred Qualifications

• - Strong familiarity with Canada’s startup ecosystem, including government programs (IRAP, SR&ED), AI research hubs, and local funding dynamics. (experience)

Responsibilities

• Leadership & People Management
• * Lead, mentor, and grow a high-performing team of Startup Solutions Architects across Canada.
• * Set technical priorities, coach on career development, and create a culture of builder-first, hands-on engagement with startups.
• * Ensure consistent execution of technical depth and startup empathy across the team.
• * Partner closely with Canadian startup account managers, BD teams, and ecosystem programs (VCs, accelerators, incubators).
• Regional Technical Strategy
• * Develop and execute the technical engagement strategy for Canada’s startup ecosystem.
• * Tailor global mechanisms to Canadian needs, with emphasis on GenAI, data strategy, and regulated industries.
• * Represent AWS in Canada’s startup and research communities, building relationships with universities, accelerators, and industry groups.
• * Provide input to global SA leadership on trends emerging from Canada (AI/ML, fintech, climate tech).
• Hands-On Technical Leadership
• * While primarily a manager, stay hands-on enough to maintain credibility with founders and CTOs.
• * Guide startups on cloud-native architectures, Kubernetes/EKS, DevOps/SRE practices, and serverless-first design.
• * Provide expertise on GenAI workloads: foundation model usage, training/fine-tuning, inference scaling, and cost optimization.
• * Advise on data strategy: proprietary data as a moat, data labeling, pipelines, compliance (especially PIPEDA in Canada), and ML readiness.
• Scaling & Mechanism Building
• * Drive creation of reference architectures, reusable assets, and enablement programs that scale across the Canada SA org.
• * Build technical enablement programs for Canadian founders, including workshops on cloud-native, AI/ML, and data foundations.
• * Partner with Canadian accelerators (Creative Destruction Lab, NextAI, Communitech, etc.) to deliver impactful technical programming

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