AI Sales Specialist, Startups and Scale Ups, Google Cloud United Kingdom and Ireland
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Job description
As an Artificial Intelligence (AI) Commercial Lead, you will direct enterprise modernization from experimental phases toward live deployment. You will sit at the intersection of engineering depth and business strategy, assisting accounts as they evolve initial proof-of-concepts into resilient, high-capacity frameworks that generate measurable financial returns.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge 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., * 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.
Requirements
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * 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., * 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.
About the company
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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