About the role
What will you do at Google?
MINIMUM QUALIFICATIONS:
* Bachelor's degree or equivalent practical experience.
* 6 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 working with, presenting to, or influencing technical stakeholders
or executive leaders.
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.
ABOUT THE JOB:
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.
By blending sales expertise, market knowledge, direct technical engagement, and
technical project management, you will show 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 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.Individual pay is determined by factors including job-related
skills, experience, and relevant education or training.
US: $127000 - $185000 (USD) + 42.86% bonus target + bonus + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Develop and orchestrate a structured, end-to-end deployment plan across
customer, Professional Services, and partner teams, onboarding 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.
Which skills does this role require?
Make your next move
Build a shortlist and prepare
Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
Other roles to compare
Review the responsibilities and requirements before adding an opening to your shortlist.
AI Outcome Customer Engineer, Forward Deployed Engineering
Google · Atlanta, Georgia, United States
AI Evaluations Engineer, US Decision Intelligence
Apple · Cupertino, California, United States
Research Engineer, Responsible Frontier AI Research, DeepMind
Google · New York, New York, United States
Applied AI Design Engineer (100 % remote) (m/f/d)
EWOR · Capon Bridge, West Virginia, United States
Senior AI Support Engineer
University of Colorado Department of Emergency Medicine · Colorado Springs, Colorado, United States
AI Risk Engineer
Bright Vision Technologies · Columbus, Ohio, United States
Role information can change. Confirm current details on the original application page.
