Customer Engineer III, Outcome, SaaS, Google Cloud

Google•Apply•Published 3 hours ago•First seen 2 hours ago

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Software-as-a-Service (SaaS) Outcome Customer Engineer (OCE), you will drive initial and ongoing business ramp for our SaaS customers, clearing blockers and ensuring they get the maximum benefit from their investment faster. You will manage and execute the deployment plan, transitioning scoped license agreements into production by providing technical leadership to customers and partners. You will have a direct impact on the velocity and incremental consumption of customer license agreements, leading to accelerated value realization, higher adoption, and future expansion opportunities.

You will blend sales expertise, market knowledge, direct technical engagement, and technical project management to prove the value of Google Cloud SaaS products.

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.

The US base salary range for this full-time position is $147,000-$218,000 + 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 and partner teams, onboarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness (e.g., capacity, training).
Employ skills such as coding, debugging, or systems design to resolve technical blockers and accelerate deployment.
Drive sustainable product usage to help customers realize value on an ongoing basis and secure future contract renewals.
Drive and track progress of the initial and ongoing ramp of license agreements, moving customers from agreement to consumption as quickly as possible.
Identify expansion opportunities for new license agreements within the account during project execution.

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 influencing technical stakeholders or executive leaders.

Preferred qualifications:

Experience in one or more of the following: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Networking, Migrations or Security.
Experience with Google Cloud products and differentiating from competition.
Experience guiding customers through the organizational change and delivery preparation needed to adopt new, cloud-powered business processes.
Experience with development or implementation of AI agents in an enterprise environment.
Experience working with product and support teams to resolve technical blockers.
Experience with object-oriented programming languages (i.e. Python, Java), and using technical proficiencies to remove blockers and accelerate customer delivery.