Manager, AI Outcome Customer Engineering, North
ZürichPosted 2w ago
About the role
Google Cloud Platform role leading a specialized team of AI Outcome Customer Engineers (AIOCE) in the North region to accelerate Gemini Enterprise adoption, orchestrate cross-functional delivery, and drive AI transformation for enterprise customers.
Responsibilities
- Define and execute the AIOCE engagement and adoption strategy. Act as a trusted advisor to C-suite stakeholders, establishing scalable and repeatable frameworks to accelerate onboarding, mitigate risks, and drive long-term AI transformation across the portfolio.
- Manage the end-to-end AI transformation journey by orchestrating alliances across sales, product, engineering, Google Cloud Consulting, and external partners. Serve as a strategic escalation point to allocate resources and ensure the timely delivery of high-complexity deployments.
- Define and execute Cloud AI adoption processes and frameworks that ensure rapid customer onboarding and large-scale adoption.
- Hire, develop, and lead a high-performing technical team, making strategic talent decisions regarding to scale the AIOCE organization.
- Represent regional Google Cloud Product and Engineering teams, translating customer trends, technical gaps, and adoption challenges into actionable requirements that influence future product roadmaps.
Qualifications
- Bachelor's degree or equivalent practical experience.
- 10 years of experience managing or leading multi-layered technical organizations.
- 3 years of experience in people management.
- Experience with technical delivery strategies and interfacing with product or engineering organizations.
- Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), Cloud infrastructure, or AI/ML model deployments.
- Experience driving cloud transformations for enterprise-level clients.
Skills
Required:Bachelor's degree or equivalent practical experiencePeople managementEnterprise cloud transformationsAPI integrations / identity / ECMsAI/ML model deploymentsCross-functional stakeholder management
Last updated Oct 23, 2026. Interested? Apply on the company site.
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