Regional AI Sales Specialist, Google Cloud

Google; Singapore; On-site; SGD 154,000 - 207,000; Full time

Job summary

A global technology leader in Singapore is looking for a Regional AI Sales Specialist to lead enterprise transitions from AI exploration to strategic production. The ideal candidate will have extensive experience in enterprise technology sales, cloud solutions, and AI/ML, alongside fluency in Mandarin for effective communication with clients. You will guide customers through their journey and shift the conversation towards creating business value and measurable ROI. This role offers the opportunity to work in an innovative and rapidly growing environment while helping businesses implement cutting-edge technology solutions.

Qualifications

• 10 years of experience in enterprise technology sales.
• 3 years of experience in cloud, data, analytics, or AI/ML.
• Ability to communicate in Mandarin fluently.

Responsibilities

• Guide customers through the pilot-to-production journey.
• Shift conversations to business cases and model ROI.
• Position AI agents within the industry context.

Skills

Enterprise technology sales

Cloud technology

AI/ML knowledge

Mandarin fluency

Education

Bachelor's degree or equivalent practical experience

Job description

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in enterprise technology sale.
• 3 years of experience in cloud, data, analytics, or AI/ML.
• Ability to communicate in Mandarin fluently to engage and support Mandarin speaking customers to navigate industry standards.

Preferred qualifications:

• Experience selling Large Language Models (LLMs), agents, or generative technologies.
• Experience in the regulatory and operational data challenges of specific industries (e.g., FSI, Retail, Telco, Manufacturing).
• Experience working at a cloud provider, system integrator, or AI-native firm.
• Ability to build business cases involving complex consumption economics.
• Ability to explain AI agents, RAG (Retrieval-Augmented Generation), fine-tuning, vector search, and inference scaling and why they matter to business audiences.
• Track record of territory planning, stakeholder mapping, and executing complex, 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.

As a Regional AI Sales Specialist, you will lead the enterprise transition from AI exploration to strategic production. You will sit at the intersection of technical depth and commercial strategy, helping customers navigate the journey from initial pilots to scalable systems that generate measurable Return on Investment (ROI).

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 APIs and full platform value, and drive scalable decisions.
• Shift conversations to business cases. Model and platform Total Cost of Ownership (TCO), explain inference cost scaling, and articulate the ROI of build vs 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 AI agents within the context of the industry. Explain how data proximity, governance, and operational coherence (e.g., MLOps) on Vertex AI create a 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 defendable numbers based on technical reality and executive sponsorship.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.