Customer Developer, Cloud AI, Startups, Google Cloud

Customer Developer, Cloud AI, Startups, Google Cloud

Google
• San Francisco, CA, USA;
Toronto, ON, Canada; +7 more

This posting is for a new vacancy. The following details apply where applicable, including region-specific benefits and requirements.

The application window may be open until a future date based on business needs. By applying to this position you will have an opportunity to share your preferred working location from the following:
San Francisco, CA, USA;
Toronto, ON, Canada;
Austin, TX, USA;
Boulder, CO, USA;
Irvine, CA, USA;
Seattle, WA, USA;
Sunnyvale, CA, USA;
Los Angeles, CA, USA;
San Diego, CA, USA
.

• Build partner specific, go-to-market solutions to reduce business cycles and drive partner business as measured through pipeline and business growth.
• Own the technical relationship with partners, enabling pilots or proofs-of-concept, supporting partners toward customer acceptance of the technical proposal, leading to an agreement, and assisting during the migration phase to ensure successful deployment.
• Build trusted advisory relationships and make recommendations on integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution and optimize Google Cloud effectiveness.

• Bachelor's degree or equivalent practical experience.
• 1 year of experience with cloud native architecture in a customer-facing or support role.
• Experience with AI agent orchestration frameworks (e.g., Lang Graph, CrewAI, Auto Gen), agentic design patterns (e.g., tool-use, multi-agent collaboration), and integrating models into autonomous workflows via advanced API prompting and retrieval-augmented generation (RAG).
• Experience with machine learning model development and deployment.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Experience with programming or technical proficiencies to demo, prototype, or workshop with customers.

• 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 working with startups.
• Experience with frameworks for deep learning (e.g., PyTorch, Tensor Flow, Jax, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), or using machine learning APIs.
• Ability to learn, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.

When leading companies choose Google Cloud, it accelerates the spread of cloud computing globally. 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 product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

In this role, you will partner with technical business teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of specialized workloads. You will develop prototypes, proofs-of-concept, and demos to promote new, highly specialized solutions to customers in collaboration with Platform CEs. You will solve AI-centered customer issues and provide feedback to influence product development.

You will engage with customers to understand their business and technical requirements, and persuasively present practical solutions on Google Cloud.

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 to help developers build more sustainably, with customers in more than 200 countries and territories.

For United States Applicants:

The US base salary range for this full-time position is $84,000-$120,000 + bonus + equity + benefits. Our salary ranges are determined by…