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Customer Engineer, Platform, Google Cloud

Google
Seattle, USA
Mid · 4+ years experience
Onsite
USD 104000-150000 / year
Discovered 2 weeks ago

Full Job Posting

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 prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and in-depth workshops.
  • Architect cross-pillar 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.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 4 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 working with, or presenting to, technical stakeholders or executive leaders.
  • Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.

Preferred qualifications:

  • Experience selling technical solutions in one or more of the following: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Networking, Migrations, Security.
  • Experience driving the entire sales cycle (e.g., defining the delivery and consumption plan and transitioning it for execution).
  • Experience building long-term technical strategies to uncover new workloads with customers.
  • Experience migrating applications and services to cloud platforms.
  • Experience working with, and passion for, the startup ecosystem.
  • Experience building AI agents and tools and an understanding of their unique security implications.

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