Senior Technical Advisor, EMEA Customer Engineering

The Senior Technical Advisor to the VP (Vice President) of Customer Engineering EMEA is a leadership role that sits at the intersection of executive operations, technical leadership, and strategic customer advocacy. Reporting directly to the VP of CE EMEA, you will serve as a trusted advisor, technical strategy partner, and executive multiplier.
It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Represent the VP of Customer Engineering as an executive proxy in customer-facing environments. Partner with account teams and technical leadership to engage with C-suite executives, orchestrating multi-year, board-level AI transformation strategies.

Establish technical excellence and direct execution capabilities as core organizational health metrics to position engineering teams for success in Security, Data Analytics, MMB and AI.

Serve as a central collaborator connecting EMEA Customer Engineering with global teams, Go-To-Market partners, Product Management, Engineering, and People Operations to resolve technical issues.

Synthesize field-engineered solutions, customer implementation roadblocks, and technology gaps to influence Google Cloud product roadmaps.

Lead regional initiatives to convert custom customer solutions into scalable, repeatable global assets and reference architectures

Minimum qualifications:

Bachelor’s degree in Engineering (Electrical, Mechanical, Computer Science) or a related technical field, or equivalent practical experience.

10 years of experience in technical sales engineering, customer engineering, systems engineering, or software development within a cloud computing environment.

Experience engaging with and presenting to C-suite executives, translating technical architectures into business outcomes, and managing organizational alignment across cross-functional stakeholders.

Preferred qualifications:

Master's degree or PhD in Computer Science, Artificial Intelligence/Machine Learning (AI/ML), STEM.

Proven experience architecting, deploying, and managing complex cloud architectures, enterprise integrations, or advanced AI solutions at global scale.

Proficiency with Google Cloud's AI, Machine Learning, and database portfolios (including Vertex AI, Gemini Models, and multi-agent systems), alongside familiarity with modern development tools, open-source frameworks, and AI-assisted coding technologies.

Demonstrated ability to lead through influence, resolve high-stakes customer escalations, manage ambiguous situations, and navigate organizational landscapes.

Bachelor’s degree in Engineering (Electrical, Mechanical, Computer Science) or a related technical field, or equivalent practical experience.

10 years of experience in technical sales engineering, customer engineering, systems engineering, or software development within a cloud computing environment.

Experience engaging with and presenting to C-suite executives, translating technical architectures into business outcomes, and managing organizational alignment across cross-functional stakeholders.