Outcome Customer Engineer, Google Cloud

Google; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Google Cloud in Singapore seeks an Outcome Customer Engineer to lead enterprise AI deployments, guiding customers from proof-of-concept to production and ensuring measurable business impact.

You will craft deployment plans, unblock technical challenges, and align cross-functional teams to accelerate Gemini Enterprise adoption and license usage.

Qualifications

• Bachelor's degree in a computer science or related field, or equivalent practical experience.
• 6 years designing and deploying technical solutions.
• 5 years cloud native architecture in customer-facing or support roles.
• Experience in deployment planning, orchestration, or change management.
• Experience in programming languages, debugging, or systems design.
• Experience presenting to technical stakeholders or executives.

Responsibilities

• Develop end-to-end AI deployment plans across customer and partner teams.
• Unblock technical issues by coding and debugging Gemini Enterprise and third-party IT solutions.
• Lead activation of Gemini Enterprise licenses toward production consumption.
• Identify opportunities to expand AI usage and justify new licenses.
• Drive ongoing value realization to secure renewals and future growth.

Skills

Computer science degree

Solutions design

Cloud native arch

Deployment planning

Programming & debugging

Stakeholder comms

Education

Bachelor's degree

Job description

Outcome Customer Engineer, Google Cloud

Google

Singapore

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 6 years of experience in designing and deploying technical solutions.
• 5 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 with collaborating and presenting to technical stakeholders or executive leaders.

Preferred qualifications:

• Experience in developing, documenting, and communicating enterprise architecture and end-to-end solutions including multiple technology and organizational domains.
• Experience in one or more of the following: infrastructure modernization, application modernization, data management, data analytics, cloud artificial intelligence, networking, migrations or security.
• Experience in developing applications with AI features, using proprietary or open models and frameworks including prompt and context engineering, and external systems integration.
• Experience in communicating technical concepts to technical and non-technical audiences, including executive stakeholders.
• Ability to prototype concepts and enhance them for production environments.

About the job

In this role, you will combine the technical expertise with an ability to lead the execution of enterprise Artificial Intelligence (AI) workloads from proof-of-concept to production. You will be working on Gemini Enterprise engagements to accelerate customer adoption and sustained usage with impact on customer business outcomes and Google Cloud business growth. You will create, manage, and execute the deployment plan, transitioning Gemini Enterprise license agreements into production workloads by providing technical leadership to customers and partners. You will have an impact on the velocity and incremental consumption of customer license agreements, leading to accelerated value realization, higher adoption, and future expansion opportunities.

Responsibilities

• Develop an end-to-end AI deployment plan across customer and partner teams, clearing architectural blockers, and ensuring organizational readiness for launch.
• Execute technical unblocking for key workloads, including writing enterprise grade code, debugging Gemini Enterprise and third-party IT solutions, and architecting end-to-end enterprise AI solutions.
• Drive and track the activation of Gemini Enterprise licenses, moving customers to consumption by executing plans, ensuring quick transitions from basic adoption to advanced AI-assisted workflows.
• Identify opportunities to expand the AI footprint within the account. Spot new use cases such as reasoning tasks or multi-modal agents that drive cross-functional adoption and justify new license agreements.
• Drive sustainable product usage to help customers realize value on an ongoing basis and secure future agreement renewals.

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