Customer Developer, Cloud AI, Google Cloud

As a Practice Customer Developer (CE) with a specialty in Cloud AI at Google Cloud, 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, 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.

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.

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.

Salary: $162,000 – $166,000 CAD + 42.86% bonus target + equity + benefits.

Bachelor's degree or equivalent practical experience; 6 years of experience with cloud native architecture in a customer-facing or support role; experience with ML model development or deployment; experience with AI agent orchestration frameworks such as LangGraph, CrewAI, or AutoGen.