Manager, AI Outcome Customer Engineering, North
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 5, 2026. Google scores B on the Alion truth index.
About the job
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Manager of AI Outcome Customer Engineering (AIOCE) for the North region, you will lead the strategic goal and execution for a team of AIOCEs. You will lead a highly specialized team of technical experts dedicated to helping customers fully realize the value of Gemini Enterprise (GE) . You will oversee the technical execution and business operations required to accelerate customer adoption and decrease the time to first production value.
In this role, you will act as a central orchestration leader, building critical alliances with customer executives, and internal go-to-market leadership, to ensure complex workloads transition seamlessly from agreement signing to full production. Beyond technical delivery, you will be a dedicated people leader tasked with cultivating a mission-first culture, developing top talent, and strategically driving AI transformation across your organization.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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
- 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
Minimum 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.
Preferred qualifications:
- 15 years of experience in enterprise customer success, technical delivery, consulting, or IT operations leadership.
- Experience building business cases and articulating the Return on Investment (ROI) of technology investments to executive stakeholders.
- Prior experience leading a professional services or consulting organization at a global hyperscale provider (Google Cloud).
- Communication skills with a proven ability to influence at the CEO/CTO level.
- Demonstrated success in managing complex commercial dynamics, including strategies and technical risk mitigation for portfolios exceeding $500M+ in cloud spend.
- History of driving innovation in service delivery, such as integrating AI-driven insights into customer delivery model.