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Outcome Customer Engineer, Google Cloud Platform Delivery

Google

Outcome Customer Engineer, Google Cloud Platform Delivery

Google

·

On-site

·

Full-time

·

1w ago

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.

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 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.

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).

  • Leverage skills such as 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.

  • 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.

  • 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 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 working with product and capacity teams to resolve technical and capacity blockers.

  • Experience with object-oriented programming languages (e.g., Python, Java) and using technical proficiencies to remove blockers and accelerate customer deployment.

  • Ability to communicate fluently in Polish to support clients in region

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

3.7

25 reviews

Work-life balance

3.8

Compensation

4.2

Culture

3.4

Career

3.9

Management

2.8

68%

Recommend to a friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

Cons

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

Salary Ranges

57,502 data points

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0 reports

$176,704

total per year

Base

-

Stock

-

Bonus

-

$150,298

$203,110

Interview experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense