Customer Engineer III, Outcome, GCP, Google Cloud
Google· startup· Internet & Cloud Services· Aug 18, 2026 · 2mo agoPosted 70 days ago
Seattle, WA, USA · Boulder, CO, USA
In office
Full-time
Principal
$190K–$250K est.
10+ years exp
Before you apply
Ghost Signal:
Open 70 days.
Job description
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Google Cloud Platform (GCP) Outcome Customer Engineer (OCE), you will drive initial and ongoing business ramp for our customers, clearing blockers and ensuring they get the maximum benefit from their investment faster. You will manage and execute the deployment plan, transitioning scoped workloads into production by providing technical leadership to customers and partners. You will have a direct impact on the velocity and incremental consumption of customer workloads, leading to accelerated value realization, higher adoption, and future expansion opportunities.
In this role, you will blend sales expertise, market knowledge, direct technical engagement, and technical project management to prove the value of the Google Cloud portfolio.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits
Learn more about benefits at Google .
• Develop and orchestrate a structured, end-to-end deployment plan across customer, professional services, and partner teams, on-boarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness (e.g., capacity, training).
• Employ coding, debugging, or systems design to resolve technical blockers and accelerate deployment.
• Drive and track progress of the initial and ongoing ramp of workloads, moving customers from agreement to consumption as quickly as possible.
• Identify expansion opportunities for new workloads within the account during project execution.
• Sustain product usage to help customers realize value on an ongoing basis and secure future agreement renewals.
• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience in deployment planning, orchestration, or change management.
• Experience in programming languages, debugging, or systems design.
• Experience engaging with, presenting to, or managing technical stakeholders or executive leaders.
• Ability to travel up to 25% of the time as needed.
Minimum qualifications:
• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience in deployment planning, orchestration, or change management.
• Experience in programming languages, debugging, or systems design.
• Experience engaging with, presenting to, or managing technical stakeholders or executive leaders.
• Ability to travel up to 25% of the time as needed.
Preferred qualifications:
• Experience selling technical solutions in one or more of the following areas: infrastructure modernization, application modernization, data management, data analytics, AI, networking, migrations or security.
• Experience with Google Cloud products and differentiation from competition.
• Experience working with product and capacity teams to resolve technical and capacity blockers.
• Experience with object-oriented programming languages (i.e. Python, Java), and using technical proficiencies to remove blockers and accelerate customer deployment.
• Experience implementing multi-agent systems using frameworks (e.g., A2A, LangGraph, CrewAI, AutoGen).
• Experience navigating the startup life-cycle, from initial prototyping with AI Studio to scaling and achieving product-market fit on Vertex AI.
Application prep
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