Customer Developer, Cloud AI, Google Cloud

Google; Southwestern Ontario; Hybrid; CAD 162,000 - 166,000; Full time

Job summary

Google Cloud accelerates organizations by delivering enterprise-grade solutions. As a Practice Customer Developer (CE) with a specialty in Cloud AI, you will partner with technical sales teams to differentiate Google Cloud for customers, provide deep technical consultation, and build prototypes and demos to win complex workloads.

You will work with Platform CEs to write code for proofs-of-concept, document customer requirements, and influence product direction.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with machine learning model development or deployment.
• Experience with AI agent orchestration frameworks and agentic design patterns.
• Experience engaging with technical stakeholders and executive leaders.

Responsibilities

• Drive the technical win for complex workloads within Cloud AI to ensure rapid adoption and support the sales cycle.
• Provide deep technical consultation to customers and build lasting relationships.
• Develop prototypes, proofs-of-concept, and demos to sell specialized AI workloads.
• Collaborate with Go-to-Market and Platform teams to reuse learnings and assets.
• Document and prioritize customer feature requests and issues with product teams.

Skills

Cloud native architecture

ML model development

AI agent orchestration

Executive communication

Technical stakeholder engagement

Education

Bachelor's degree or equivalent

Tools

PyTorch

TensorFlow

Jax

Ray

Job description

This posting is for an existing vacancy.

Google utilizes AI tools to assist in assessing candidates in our hiring processes.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Waterloo, ON, Canada.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with Machine Learning model development or deployment.
• Experience with AI agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen), agentic design patterns (e.g., tool-use, multi-agent collaboration), or integrating models into autonomous workflows via advanced API prompting or RAG.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Preferred qualifications

• Master's degree in Computer Science, Engineering, Mathematics, or a technical field.
• Experience building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
• Experience architecting and developing software or infrastructure for scalable, distributed systems.
• Experience learning and working with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
• Experience with deep learning frameworks (e.g., PyTorch, Tensorflow, Jax, Ray), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), or using machine learning APIs.

About The Job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and developers teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Practice Customer Developer (CE) with a specialty in Cloud AI, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas, in partnership with Platform CEs, to be writing code to develop prototypes, proofs-of-concept, and demos to sell new, highly specialized solutions to customers. You will solve AI-centered customer challenges and provide a critical feedback loop to influence product development.

You will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will blend sales expertise, market knowledge, and technical engagement to prove the value of the Google Cloud portfolio.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Canada: $162000 - $166000 (CAD) + 42.86% bonus target + equity + benefits

Responsibilities

• Drive the technical win for complex workloads within Cloud AI to ensure rapid and successful adoption, primarily supporting the sales cycle from technical evaluation through customer ramp.
• Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
• Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships.
• Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.
• Work within Product and Developers management systems to document, prioritize and drive resolution of customer feature requests and issues.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .