Customer Success jobs in Canada

As a Principal Customer Success Engineer at Cerebras, you will play a critical hands-on role in ensuring the success of our strategic customers. As part of our growing Customer Success and Support team, you will be responsible for enabling our customers to unlock the full value of our systems and services.

You will lead deep technical engagements across a portfolio of high-value accounts, guiding onboarding, integration, performance optimization, and production scaling. You’ll be the go-to technical partner for customer engineering teams, while collaborating closely with internal stakeholders in Product, Engineering, Sales, and Support.

This is a senior individual contributor role for an experienced customer-facing technologist who thrives at the intersection of Generative AI models and applications, AI infrastructure, and customer enablement.

• Drive technical success of Cerebras customers;
  • Serve as the technical lead throughout the customer journey—from onboarding to production scaling—ensuring smooth deployment and long-term value realization.
  • Partner with customers to uncover new opportunities where Cerebras products can drive value, from scaling existing AI workloads to enabling novel applications.
  • Architect integrations and deployment plans aligned with customer goals.
• Serve as a trusted advisor and technical escalation point for our customers;
  • Provide architectural guidance and best practices for GenAI workflows and applications, model deployment, and performance optimization.
  • Collaborate directly with customer engineering teams to optimize performance, debug complex issues, and remove blockers.
  • Work closely with Support and Engineering teams to manage escalations and drive fast, effective resolution of critical issues.
• Partner cross-functionally to champion the customer experience;
  • Share field insights with Product and Engineering to inform roadmap decisions.
  • Work with Sales and Solution Architects to align on customer success plans and identify growth opportunities.
  • Collaborate with Marketing to highlight successful deployments and customer impact.
• Mentor and elevate the broader Customer Success and Support team;
  • Provide technical leadership, documentation, and reusable assets to scale success across the organization.
  • Contribute to internal playbooks and onboarding for Customer Success Engineers and Support Engineers.

• Bachelor’s or Master’s degree in a technical field such as Computer Science, Electrical Engineering, or related discipline.
• 10+ years of professional experience, with 5–7+ years in customer-facing technical roles (e.g., Customer Success Engineering, Solutions Engineering, Technical Account Management).
• Strong foundation in LLM inference workloads, AI/ML systems, distributed computing, and infrastructure.
• Experience deploying and optimizing LLM inference workloads, with a solid understanding of latency, throughput, and token-level. performance metrics, as well as inference toolchains, APIs, and optimization techniques relevant to large-scale model serving is a strong plus.
• Exceptional communication and collaboration skills; ability to interface with developers, architects, and executive stakeholders.
• Comfortable leading complex technical discussions and resolving high-severity issues in real time.
• Passion for customer advocacy and delivering measurable impact through high-touch engagement.