AI Sales Specialist, Google Cloud
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in enterprise technology sales.
- 3 years of experience in cloud, data, analytics, or AI/ML.
Preferred qualifications:
- Experience in promoting Large Language Models (LLMs), agents, or generative technologies.
- Experience in the regulatory and operational data tests of the industries (e.g., Financial Services Industry (FSI), Retail, Telecommunication, Manufacturing).
- Experience with working at a cloud provider, system integrator, or AI-native firm.
- Ability to build business cases involving consumption economics.
- Ability to explain AI agents, Retrieval-Augmented Generation (RAG), fine-tuning, vector search, and inference scaling.
- Ability to plan territories, stakeholder mapping, and execute multi-stage agreement cycles.
About the job
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.In this role, you will lead the enterprise transition from Artificial Intelligence (AI) exploration to production.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 that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Guide customers through the pilot-to-production journey. Distinguish between model Application Programming Interfaces (API) and full platform value, and drive decisions.
- Shift conversations to business cases. Model Total Cost of Ownership (TCO), explain inference cost scaling, and articulate the ROI of build versus buy decisions.
- Navigate the value patterns such as business generation (e.g., customer experience), efficiency (e.g., automation), and decision augmentation (e.g., insight).
- Position Artificial Intelligence (AI) agents within the context of the industry. Explain how data proximity, governance, and operational coherence (e.g., Machine Learning Operations (MLOps) on Vertex AI create an engaged advantage.
- Leverage a team of Field Sales Representative (FSR) and customer engineers, and activate partners to scale industry-specific plays and accelerate implementation. Assess agreement maturity. Commit to numbers based on technical reality and executive sponsorship.
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