Customer Engineer III, AI/ML, Google Cloud

Position Overview

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

When leading companies choose Google Cloud, it’s a huge win for spreading the power of cloud computing globally. As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to customers. You will engage with customers to understand their business and technical requirements, help design innovative cloud solutions, and troubleshoot technical challenges. Join a team of Googlers in an inclusive environment that values equal opportunities for success.

Key Responsibilities

• Work with the team to identify and qualify business opportunities, understand customer technical objections, and develop strategies to resolve technical blockers.
• Share AI/ML expertise to support technical customer relationships through technology advocacy, product briefings, proof-of-concept work, and collaborating with product management.
• Demonstrate and prototype integrations with Google Cloud products in customer and partner environments.
• Recommend integration strategies, enterprise architectures, platforms, and infrastructure required for complete solutions on Google Cloud.
• Travel to customer sites, conferences, and events as needed, acting as a public advocate for Google Cloud.

Required Qualifications

• Bachelor’s degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience engaging with and presenting to technical stakeholders and executive leaders.
• Experience with Machine Learning model development and deployment.
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Jax, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning APIs.

Preferred Qualifications

• Master’s degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
• Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
• Experience in architecting and developing software or infrastructure for scalable, distributed systems.
• Experience in data and information management related to big data trends and issues within businesses.
• Ability to quickly learn and work with emerging technologies, methodologies, and solutions in the cloud/IT technology space.

Benefits & Perks

• Compensation: US base salary range of $147,000-$218,000 plus bonus, equity, and benefits.
• Access to cutting-edge cloud technologies and Google Cloud products.
• Inclusive workplace with equal opportunities and professional growth.
• Opportunities to work on impactful projects in a global organization.