Customer Engineer Iii, Platform, Startup, Google Cloud

Google Google · Big Tech · New York, NY +1

Customer Engineer III for Google Cloud Platform, focusing on technical sales and solution architecture for startups. The role involves understanding customer challenges, architecting cross-pillar cloud solutions, and driving technical wins. While not directly building AI models, the role requires deep domain expertise in AI/GenAI inferencing and GPU infrastructure, indicating a strong AI-adjacent focus.

What you'd actually do

  1. Develop and own the technical account plan and strategy, participating in planning and supporting targeted sales motions.
  2. Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and in-depth workshops.
  3. Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers; continue to lead the technical engagement in the solution phase.
  4. Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams.
  5. Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases.

Skills

Required

  • cloud native architecture
  • customer-facing or support role
  • cloud engineering
  • on-premise engineering
  • virtualization
  • containerization platforms
  • engaging with technical stakeholders or executive leaders
  • programming languages
  • debugging
  • systems design
  • prototyping
  • demos
  • customer workshops

Nice to have

  • Generative AI inferencing
  • Large Language Models (LLMs)
  • GPU infrastructure/workloads
  • Infrastructure Modernization
  • Application Modernization
  • Data Management
  • Data Analytics
  • Cloud AI
  • Networking
  • Migrations
  • Security
  • driving the entire sales cycle
  • building long-term technical strategies
  • migrating applications and services to cloud platforms
  • security concepts

What the JD emphasized

  • 10 years of experience with cloud native architecture in a customer-facing or support role
  • Deep domain expertise in Artificial Intelligence (AI) and Infrastructure, specifically around Generative AI inferencing, Large Language Models (LLMs), and GPU infrastructure/workloads