G

Google

Runs Search and YouTube and builds Gemini AI

AI Sales Specialist - Startups and Scale Ups

Account ExecutiveConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • A 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 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.
  • Direct enterprise modernization from experimental phases toward live deployment, helping accounts evolve initial proof-of-concepts into resilient, high-capacity frameworks that generate measurable financial returns.

Desired 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, Retrieval-Augmented Generation (RAG), 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.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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