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About the Role
Partner with technical sales teams to differentiate Google Cloud, serving as a technical expert to accelerate adoption of complex, specialized workloads. Leverage deep product expertise to write code for prototypes, POCs, and demos. Solve AI customer issues and provide feedback to influence product development. Blend sales expertise, market knowledge, and technical engagement to prove the value of the Google Cloud portfolio.
Responsibilities
- Drive the technical win for workloads within Cloud AI to ensure rapid and successful adoption, primarily supporting the business cycle from technical evaluation through customer ramp.
- Combine business strategies, 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 (GTM) team.
- Work within product and engineering management systems to document, prioritize, and drive resolution of customer feature requests and issues.
Requirements
- Bachelor’s degree or equivalent practical experience.
- 10 years of experience with cloud native architecture in a customer-facing or support role.
- Experience with AI agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen), agentic design patterns (e.g., tool-use, multi-agent collaboration), and integrating models into autonomous workflows via advanced API prompting and RAG.
- Experience with machine learning model development and deployment.
- Experience engaging with, and presenting to, technical stakeholders and executive leaders.
- Experience using programming languages to design demos, prototypes, or workshops for customers.
- Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
- Experience in architecting and developing software or infrastructure for scalable, distributed systems.
- Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., LLMs, Diffusion, and Multimodal Models).
- Experience developing and deploying Generative AI applications, with a focus on implementing RAG pipelines, integrating vector databases, and orchestrating LLM interactions via APIs.
- Experience in the hospitality, travel, power, manufacturing or energy industry.
- Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
Skills
- Cloud AI
- Cloud native architecture
- AI agent orchestration frameworks
- Agentic design patterns
- API prompting
- RAG
- Machine learning model development
- Machine learning model deployment
- Programming languages
- Software architecture
- Infrastructure architecture
- Distributed systems
- Machine learning solutions
- LLMs
- Diffusion Models
- Multimodal Models
- Generative AI applications
- Vector databases
- LLM interactions
- Technical consultation
- Prototyping
- Customer relationship building
- Reusable solutions development
- Problem-solving
Experience Level
- 10 years of experience
Education Level
- Bachelor’s degree or equivalent practical experience
- Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience
Salary/Compensations
- US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits
Benefits
- 42.86% bonus target
- equity
- benefits
About the Company
- 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 engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.