We’re seeking a Principal Manager, Startup Solutions Architecture to lead our technical engagement with the Canadian startup ecosystem. This role combines people leadership, technical depth, and regional expertise. The successful candidate will manage a team of Solutions Architects, set technical strategy for the Canada region, and directly support founders and CTOs of early-stage and high-growth startups.
Canada’s startup ecosystem has distinct strengths — AI research hubs in Toronto, Montréal, and Edmonton; strong communities in fintech, climate tech, and health tech; and government-backed innovation programs that provide early funding. The Manager for Canada must understand these dynamics and ensure our SA team is both deeply technical and locally relevant, helping Canadian startups scale on AWS while building globally competitive businesses.


Key job 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