AI Sales Specialist, Google Cloud

JobsCloseBy Editorial Insights

Google Cloud is seeking an AI Sales Specialist in Canberra for a full-time onsite role, bridging deep technical fluency with strategic enterprise selling. You will guide customers from AI exploration to production, own ROI and TCO messaging, and coordinate with Field Sales Reps and Engineers to scale industry plays. Core requirements include a bachelor’s degree, 10 years in enterprise tech sales, and 3 years in cloud, data, analytics or AI/ML; preferred are LLMs and regulatory data experience, plus a proven ability to build business cases and manage multi-stage deals. To apply, tailor your resume to ROI impact, illustrate pilot-to-production outcomes, governance and MLOps experience, and show territory planning and stakeholder management with business-focused AI explanations.

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.

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.
• Ability to plan territories, stakeholder mapping, and execute 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 an 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 Application Programming Interfaces (API) 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.