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Google

Runs Search and YouTube and builds Gemini AI

Customer Engineer 2 - Platform, Google Cloud

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree or equivalent practical experience.
  • Six years of experience with cloud-native architecture in a customer-facing or support role.
  • Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.
  • Experience engaging with or presenting to technical stakeholders or executive leaders.
  • Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.
  • Ability to travel up to 50% of the time as needed.
  • Experience selling technical solutions in one or more of Data Management, Data Analytics, or Cloud AI.
  • Experience driving the entire business cycle, such as defining delivery and consumption plans and transitioning them for execution.
  • Experience building long-term technical strategies to uncover new workloads with customers.
  • Experience migrating applications and services to cloud platforms.

Responsibilities

  • Develop and own the technical account plan and strategy, participating in planning and supporting targeted sales motions.
  • Combine sales, programming, and solutions architecture expertise to demonstrate the value of Google Cloud Platform across the portfolio through complex demos, pilots, and in-depth workshops.
  • Architect AI/ML solutions, drive technical wins, and define initial delivery plans for customers; continue to lead the technical engagement in the solution phase.
  • Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams.
  • Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration, or implementation phases.
  • Partner with technical Sales teams to differentiate Google Cloud to customers, serving as their primary technical partner and trusted advisor in technical-led conversations to understand business challenges.
  • Troubleshoot technical questions and roadblocks, contribute to AI/ML proofs of concept and demos, and architect cross-pillar cloud solutions that address customer business challenges.
  • Drive technical wins and define delivery and consumption plans.
  • Use strategic acumen and presentation skills to engage with technical and business leaders and present practical solutions on Google Cloud.
  • Identify, pursue, and win new business workloads and drive penetration within existing workloads.
  • Blend sales expertise, market knowledge, and direct technical engagement to demonstrate the value of the Google Cloud portfolio.

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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