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AI Job Summary

Guide customers from pilot to production on Google Cloud's AI platform, positioning Vertex AI's agents, APIs, and infrastructure against build-versus-buy decisions and explaining ROI through technical and business lenses. You'll need 10 years in enterprise technology sales, three years in cloud or AI/ML, and experience selling to startups handling regulatory data. Strong candidates can articulate LLMs, retrieval-augmented generation, and inference scaling to executives and have built complex consumption business cases. Based in the United Kingdom and Ireland.

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Job Description

  • Guide customers through the pilot-to-production journey, distinguish between model Application Programming Interfaces (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 Return on Investment (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 (e.g., Machine Learning Operations [MLOps]) 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.

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

Preferred qualifications:

  • Experience selling Large Language Models (LLMs), agents, or generative technologies.
  • Experience working at a cloud provider, system integrator, or AI-native firm.
  • 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 demonstrate success building business cases involving complex consumption economics.
  • Track record of territory planning, stakeholder mapping, and executing complex, multi-stage agreement cycles.
  • 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.
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  • Role AI Sales Specialist, Startups and Scale Ups, Google Cloud United Kingdom and Ireland
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United Kingdom
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview
Eligibility
United Kingdom Right to work in the United Kingdom required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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