Artificial Intelligence Sales Specialist III, Google Cloud

As a Cloud AI Transformation Sales Specialist, you will manage the growth strategy for enterprise accounts, a patch/group of accounts or a strategic industry. You’ll leverage experience engaging with executives to build on existing relationships, establish relationships in new areas, and act as a business partner to understand our customer's issues and goals. You will advocate the innovative power of our products and solutions to make organizations more productive, collaborative, and mobile.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

The US base salary range for this full-time position is $134,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Lead technical and commercial engagements with enterprise customers, from initial discovery and solution architecture to contract negotiation and implementation oversight.
• Design and architect innovative, cloud-based solutions that address business issues, leveraging expertise in infrastructure, data analytics, and application development.
• Build and present compelling proofs-of-concept (POCs) and technical demonstrations to showcase the value and feasibility of proposed solutions.
• Lead cross-functional teams including customer engineers, product managers, and partners to ensure implementation and customer adoption. Externally, cultivate and maintain C-level relationships, acting as a primary technical advisor to CIOs, CTOs, and their leadership teams.
• Drive business growth by growing spend within the existing customer base and acquiring new enterprise logos.

Minimum qualifications:

• Bachelor's degree in Business or Computer Science, or a related technical field, or equivalent practical experience.
• 10 Years of experience in a client-facing technical role such as a Technology Sales, Solutions Architect, Cloud Architect, or Executive Sales Engineer.
• Experience identifying AI use cases to solve customer issues or selling AI technology to clients.
• Experience with cloud technologies including infrastructure, database, and analytics services.
• Experience with commercial and legal negotiations, working with Procurement, Legal, and Business teams.
• Experience leading and working with cross-functional teams (technical and non-technical).

Preferred qualifications:

• 8 years of experience designing and building production-grade applications on public cloud platforms or 10 years selling cloud technology.
• Experience with modern application development practices, including Continuous Integration/Continuous Deployment (CI/CD), containerization (Docker, Kubernetes), and microservices architecture.
• Experience working with internal and external technical leads to inventory software estates, define migration plans, and build business cases.
• Experience growing an existing customer base and acquiring new logos to increase spend and accelerate consumption business.
• Experience cultivating C-level relationships and collaborating with executive stakeholders.
• Proficiency in one or more programming languages (e.g., Python, Java, Go).