19 hours ago
Base Salary
$152k - $221k/yr
Responsibilities
- Drive technical wins for complex Cloud AI workloads and support adoption from technical evaluation through customer ramp.
- Develop and prototype functional, customer-tailored solutions, proofs of concept, and demos to secure customer buy-in.
- Provide deep technical consultation and act as a technical advisor while building lasting customer relationships.
- Create reusable solutions and assets from customer engagement learnings with the Go-To-Market team.
- Document, prioritize, and drive resolution of customer feature requests and issues with Product and Engineering teams.
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 machine learning model development or deployment.
- Experience with AI agent orchestration frameworks, agentic design patterns, or integrating models into autonomous workflows through advanced API prompting or RAG.
- Experience engaging with and presenting to technical stakeholders and executive leaders.
- Preferred: Master's degree in Computer Science, Engineering, Mathematics, or a technical field.
- Preferred: Experience building machine learning solutions, scalable distributed systems, emerging cloud technologies, deep learning frameworks, AI accelerators, model architectures, or machine learning APIs.
Benefits
- US base salary of $152000-$221000, plus a 42.86% bonus target, equity, and benefits.
Tech Stack
Categories
Solutions Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.