Customer Developer, Cloud AI – Google Cloud – Toronto, ON

This Customer Developer role on the Cloud AI team at Google Cloud in Toronto, ON pays $162,000 to $166,000 CAD a year, plus a bonus target, equity and benefits.

You’ll work with technical sales teams to win and grow complex AI workloads. That means writing code for prototypes, proofs-of-concept and demos that show customers what Google Cloud can do for their business.

About the Role: Customer Developer, Cloud AI

Your focus is the technical win for Cloud AI workloads, from technical evaluation through customer ramp. You’ll partner with Platform CEs on Google’s most strategic product areas and solve AI-centred customer challenges. The work mixes sales strategy with hands-on development, so customer domain experts see a working solution built for them.

You’ll also act as a technical advisor who builds lasting customer relationships, and you’ll pass what you learn in the field back to the product teams. Along the way you’ll contribute reusable solutions and assets with the Go-To-Market team and track customer feature requests and issues through Google’s product and developer management systems.

Benefits and Salary

The Canada pay range is $162,000 to $166,000 CAD a year. It comes with a 42.86% bonus target, equity and benefits.

Individual pay depends on job-related skills, experience, and relevant education or training.

Responsibilities

The duties below cover the sales cycle, hands-on prototyping and customer advisory work, plus the feedback you pass back to Google’s product teams.

• Drive the technical win for workloads within Cloud AI so adoption is quick and successful, mainly by supporting the sales cycle from technical evaluation through customer ramp.
• Combine sales strategy with direct development and prototyping to deliver functional, customer-tailored solutions that win over customer domain experts.
• Advise customers technically and build lasting relationships with them.
• Write code for prototypes, proofs-of-concept and demos that sell new, specialized solutions.
• Contribute reusable solutions and assets with the Go-To-Market team, drawing on what you learn in customer engagements.
• Document, prioritize and drive resolution of customer feature requests and issues in Google’s Product and Developers management systems.
• Solve AI-centred customer challenges and give product teams feedback that influences development.
• Present practical solutions on Google Cloud after learning each customer’s business and technical requirements.

Requirements / Skills

The minimum is a bachelor’s degree or equivalent practical experience and 6 years of cloud native architecture experience in a customer-facing or support role. A master’s degree and deeper machine learning experience are listed as preferred.

• Bachelor’s degree or equivalent practical experience (required).
• 6 years of cloud native architecture experience in a customer-facing or support role (required).
• Machine learning model development or deployment experience (required).
• AI agent orchestration experience (required), such as LangGraph, CrewAI or AutoGen, agentic design patterns like tool-use and multi-agent collaboration, or integrating models into autonomous workflows through advanced API prompting or RAG.
• Engaging with and presenting to technical stakeholders and executive leaders (required).
• Master’s degree in Computer Science, Engineering, Mathematics or a technical field (preferred).
• Building machine learning solutions with specific architectures such as deep learning, LSTM or convolutional networks (preferred).
• Architecting and developing software or infrastructure for scalable, distributed systems (preferred).
• Learning and working with new technologies, methodologies and solutions in the cloud/IT space (preferred).
• Deep learning frameworks such as PyTorch, TensorFlow, Jax or Ray, AI accelerators such as TPUs or GPUs, model architectures such as encoders, decoders or transformers, or using machine learning APIs (preferred).
• Organizational, communication and presentation skills for working with customers.

How to Apply

To apply, visit the official job posting using the link below. Make sure your resume is up to date before submitting.

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