Customer Developer, Cloud AI – Google – Toronto, ON

Google Cloud is looking for a Customer Developer specializing in Cloud AI to join their team in Toronto or Waterloo, Ontario. This is a mid-level, technically intensive role that sits at the intersection of cloud architecture, machine learning, and customer-facing sales engineering — a rare combination that puts you front and centre with enterprise clients across Canada and beyond.

In this role, you’ll work alongside technical sales teams to demonstrate the value of Google Cloud’s AI portfolio, building prototypes, proofs-of-concept, and demos that directly influence purchasing decisions. If you’re the kind of person who thrives on translating complex AI capabilities into tangible business outcomes, this is a role worth exploring.

About the Role: Customer Developer, Cloud AI

As a Practice Customer Developer (CE) with a specialty in Cloud AI, you’ll partner with platform engineers and sales Googlers to accelerate technical wins and drive adoption of complex, specialized AI workloads. You’ll be hands-on — writing code, developing prototypes, and crafting custom demos — to help customers understand how Google Cloud’s cutting-edge AI solutions can address their most pressing business challenges. Your work spans the full sales cycle, from technical evaluation through to customer onboarding and ramp.

Beyond the technical build work, you’ll serve as a trusted advisor, engaging directly with executive stakeholders and domain experts to understand requirements and present solutions persuasively. You’ll also feed learnings from customer engagements back into the product roadmap, acting as a critical link between Google Cloud’s customers and its internal product and development teams. Strong organizational, communication, and presentation skills are essential in this environment.

Benefits and Salary

Google offers a competitive compensation package for this role. The listed salary range in Canada is $162,000 – $166,000 CAD, plus a 42.86% bonus target, equity, and a comprehensive benefits package. Individual pay is determined based on job-related skills, experience, and relevant education or training. Google’s benefits are known to be extensive — visit the Google Careers site to learn more about what’s included.

Responsibilities

This role blends technical development with customer engagement in a fast-moving, high-stakes environment. Every day, you’ll be working to translate Google Cloud’s AI capabilities into real-world solutions that help enterprise customers succeed — and feeding those insights back into the product teams to make Google Cloud even stronger.

• Drive technical wins for complex Cloud AI workloads, supporting the sales cycle from technical evaluation through to customer ramp
• Develop prototypes and demos by combining direct coding, sales strategy, and customer context to build functional, tailored solutions that earn buy-in from domain experts
• Provide deep technical consultation to customers, acting as a trusted advisor and building lasting relationships with both technical and executive stakeholders
• Contribute to reusable assets by leveraging learnings from customer engagements to develop shareable solutions with the Go-To-Market team
• Document and prioritize customer feature requests and issues within Product and Developer management systems to influence the product roadmap

Requirements / Skills

Google is looking for a candidate who brings deep cloud and AI expertise alongside the interpersonal skills needed to engage credibly with enterprise clients. The ideal person is as comfortable writing code as they are presenting to a C-suite audience, and they stay curious about emerging technologies in the cloud and AI space.

• Bachelor’s degree or equivalent practical experience in a relevant field
• 6+ years of experience with cloud native architecture in a customer-facing or support role
• Machine Learning experience with model development or deployment in production environments
• AI agent orchestration experience with frameworks such as LangGraph, CrewAI, or AutoGen, including agentic design patterns like tool-use, multi-agent collaboration, or RAG-based workflows
• Stakeholder engagement skills — proven ability to present to and influence both technical teams and executive leaders
• Preferred: Master’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline
• Preferred: Experience with deep learning frameworks (PyTorch, TensorFlow, JAX, Ray), AI accelerators (TPUs, GPUs), or model architectures such as transformers, encoders, and decoders

How to Apply

To apply, visit the official Google Careers posting using the link below. Make sure your resume is up to date and reflects your cloud and AI experience before submitting.

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