Customer Engineer III, Outcome, GCP, Google Cloud

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.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge 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.

The US base salary range for this full-time position is $153,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• 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.
• Drive sustainable product usage to help customers realize value on an ongoing basis and secure future agreement renewals.

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.

The application window will be open until at least May 27, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.