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Google

Runs Search and YouTube and builds Gemini AI

Data Cloud Sales Specialist

Account ExecutiveConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree or equivalent practical experience is required.
  • Seven years of experience with quota-carrying cloud or software sales is required.
  • Experience building business cases through workshops or product demonstrations to business executives is required.
  • Experience positioning and selling technical solutions in data management, analytics, infrastructure, or artificial intelligence/machine learning is required.

Responsibilities

  • Deliver against quota and achieve or exceed strategic business and growth goals.
  • Drive net-new greenfield logos and workloads in existing accounts through proactive campaigns.
  • Run complex, multi-threaded business cycles from initial discovery and value hypothesis to return-on-investment business case creation and commercial close.
  • Engage business leaders, including the Chief Data Officer, Chief Financial Officer, Chief Marketing Officer, and Chief AI Officer, through value-selling that ties modern data and artificial intelligence capabilities to quantified business outcomes.
  • Align cross-functionally with Field Sales Representatives and partners to execute joint data and artificial intelligence plays, driving platform standardization and co-sell motions.
  • Whiteboard modern architectures using BigQuery, Spark, Spanner, and AlloyDB to demonstrate how unified data foundations power high-performance, hallucination-free artificial intelligence agents.
  • Secure net-new greenfield logos and identify untapped, uncommitted workloads.
  • Partner with Field Sales Representatives, Customer Engineers, and partners to execute joint data and artificial intelligence plays that establish long-term data platform standardization.
  • Discover critical pain points with line-of-business leaders, Chief Data Officers, Chief AI Officers, and Chief Financial Officers; build robust business cases, including return on investment and total cost of ownership reduction; and demonstrate the quantifiable business value of modernizing data estates on Google Cloud Platform.
  • Guide technical stakeholders and position Google Cloud's Agentic Data Cloud suite, including BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, and AlloyDB, as a data intelligence platform for artificial intelligence.
  • Present demonstrations showcasing how unified, well-governed data foundations power secure, hallucination-free artificial intelligence agents and real-time experiences.

Desired Qualifications

  • Experience selling across the financial services or manufacturing industries.
  • Experience positioning modern cloud data platforms, lakehouses, real-time streaming, or generative artificial intelligence platforms against legacy or other proprietary enterprise systems.
  • Experience working with Global System Integrators, hyperscalers, or independent software vendors to co-sell and accelerate pipeline.
  • Broad, relevant experience in solution selling to enterprises, including selling across a wide set of industries such as retail, manufacturing, and services.
  • Practical understanding of how modern cloud architectures, data governance (such as cataloging, lineage, and compliance), and clean data estates enable artificial intelligence and real-time analytics.

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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