Practice Customer Engineer, Workspace, Google Cloud

Google; Hong Kong; On-site; HKD 1,000,000 - 1,400,000; Full time

Job summary

Google Cloud is hiring a Practice Customer Engineer for Workspace and Gemini Enterprise in Hong Kong. This mid-level role focuses on driving technical engagements, delivering POCs, and helping customers leverage Google Workspace and Gemini to transform productivity at scale.

Applicants should have 6+ years in technical pre-sales with Cloud/SaaS, and hands-on experience with UC&C, identity solutions, SI/ISV ecosystems, and automation scripting.

Qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• 6 years of experience in a technical pre-sales role with Cloud or SaaS providers.
• Experience with UC&C, enterprise productivity solutions, or identity solutions (e.g., Active Directory, Entra, MDM).
• Experience with system integrators/service providers and ISVs.
• Experience with scripting for automation, code development and low code/no code solutions.

Responsibilities

• Drive customer technical engagements to address requirements and secure technical wins. Educate customers on Google Workspace and Gemini Enterprise to enable innovation.
• Help customers develop AI practice with technology goals for creating solutions to elevate productivity.
• Work with customers to understand requirements and pain points; develop solutions and proofs-of-concepts (POCs).
• Advise on integration strategies, enterprise architectures, platforms and infrastructure; provide best-practice guidance.
• Act as a technical advocate for Google Workspace partners and provide field feedback to Google Engineering.

Skills

Cloud pre-sales experience

UC&C / productivity solutions

SIs/CSPs/ISVs experience

Scripting / automation / low-code

Customer-facing / cross-functional

Tools

Google Workspace

Active Directory / Identity solutions

Job description

Practice Customer Engineer, Workspace, Google Cloud

Mid

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

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 6 years of experience in a technical pre-sales role with Cloud or Software-as-a-Service (SaaS) providers.
• Experience with unified communications and collaboration (UC&C), enterprise productivity solutions, or identity solutions (e.g., Active Directory, Entra, and Mobility Device Management (MDM) software).
• Experience with system integrators/service providers (SIs/CSPs) and independent software vendors (ISVs).
• Experience with scripting for automation, code development and low code/no code solutions.

Preferred qualifications:

Experience working in a similar position (e.g., Technical Sales Engineer, Partner Engineer, etc.) in a cloud computing environment or equivalent experience in a customer or partner-facing role, including working as a member of a Professional Services, Solutions Architect or Systems Engineering team.

• Experience in practice building.
• Understanding of productivity technologies and how they can integrate with AI, IOT, A/V systems to deliver next-generation user experience.
• Ability to articulate and present Gen AI, Google AI full stack value to executive audiences CxOs, Line of Business and technology stakeholders, of partners and customers’ organizations.

About the job

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.

In this role, you will empower customers to achieve significant business outcomes and productivity by leveraging Gemini to automate routine tasks and business workflows.

You will be driving Agentic Workplace Transformation by helping customers move beyond simple task acceleration to automating complex, multi-step workflows across their entire organization. You will demonstrate how the unified platform of Google Workspace and Gemini Enterprise breaks down context silos, allowing humans and AI agents to collaborate with shared enterprise-wide context grounded in the organization’s data. You will advise customers on deploying and governing a team of AI agents, built by Google, partners, or the customers themselves, to ensure high-value automation at an organizational scale while maintaining enterprise-grade security and compliance.

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

• Drive customer technical engagements to address customer requirements and secure technical wins. Educate customers on the power of Google Workspace and Gemini Enterprise, enabling them to drive technical innovation.
• Help customers to develop AI practice with technology goals for creating and building solutions to elevate customer productivity.
• Work with customers, understanding their requirements and pain points. Develop solutions and develop proof-of-concepts (POCs).
• Advise on integration strategies, enterprise architectures, platforms and application infrastructure to implement a complete solution, providing best practice advice to customers.
• Act as a technical advocate within Google for Google Workspace technology partners and provide feedback from the field to Google Engineering teams on Google Workspace technologies.

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