AI Enterprise Sales Lead - Cloud & AI Solutions

Google; Greater London; On-site; GBP 120,000 - 240,000; Full time

Job summary

Google Cloud Platform team helps customers transform and build what's next for their business with cloud technology. As an AI Commercial Lead, you will guide enterprise modernization from experimental phases toward live deployments, translating technical concepts into business value for executives.

This senior role requires deep experience in cloud, data, analytics or AI/ML, and strong track record in complex negotiations, multi-stage deals, and stakeholder mapping across large organizations.

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.
• Experience with regulatory and operational data in start-up industries.

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 platform Total Cost of Ownership (TCO), explain inference cost scaling, and articulate the ROI of build versus buy decisions.
• Navigate 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, and explain how data proximity, governance, and operational coherence on Vertex AI create an engaged advantage.
• Leverage a team of Field Sales Representatives and Customer Engineers, and activate Partners to scale industry-specific plays and accelerate implementation. Distinctively assess agreement maturity, and commit to defendable numbers based on technical reality and executive sponsorship.

Job description

Google Cloud Platform team helps customers transform and build what's next for their business with cloud technology. As an AI Commercial Lead, you will guide enterprise modernization from experimental phases toward live deployments, translating technical concepts into business value for executives.

This senior role requires deep experience in cloud, data, analytics or AI/ML, and strong track record in complex negotiations, multi-stage deals, and stakeholder mapping across large organizations.