Gemini Enterprise Activation Lead

As a GE Activation Lead, you will serve as the tactical engine driving the adoption of Gemini Enterprise (GE) across Google Cloud’s accounts. Your primary mission is to industrialize AI excellence by moving licenses from sold to activated, with a relentless focus on increasing Weekly Active Users (WAU) and ensuring production-grade deployment of AI agents and workflows.

In this role, you will lead the GE Accelerator efforts, acting as the bridge between Google’s AI product roadmap and partner field execution. By arming partners with technical architecture and programmatic, you will help customers move beyond pilot phases into full-scale production-grade deployments that meet the standards of operational impact.

Manage the end-to-end activation model, guiding partners through stages from value establishment to active transformation. Manage partner performance using a 5-KPI scorecard focusing on the number of deployments, WAU alignment, partner headcount with GE seats, practitioner delivery experience, and pipeline health.

Oversee the deployment and continuous improvement of the activation library, including technical assets such as ROI calculators, business cases, and workshops designed to help partners activate seats and prove customer value.

Facilitate coordination between Customer Account Leads (CALs), Customer Engineers (CEs), Professional Services (PSO), and partner engineers to troubleshoot technical blockers and maintain a clear log of product issues for feedback to engineering.

Identify customer solutions and transform them into repeatable Ecosystem Playbooks. Translate successful partner-led transformations into global design patterns

Minimum qualifications:

Bachelor’s degree in Electrical Engineering, Computer Science, or an equivalent technical field.

10 years of experience in Partner Management, Technical Account Management, Solutions Architecture, or Professional Services within a cloud computing environment.

Experience leading, coordinating, or architecting AI/ML technical transformations.

Experience of the GenAI stack, cloud infrastructure constraints, and machine learning life-cycles.

Preferred qualifications:

Master’s degree in Computer Science, Electrical Engineering, or an MBA with a technical undergraduate background.

Proficiency with Google Cloud AI offerings (Vertex AI, Gemini) and familiarity with modern multi-agent systems such as LangGraph or CrewAI.

Ability to navigate complex co-investment models and milestone-based incentive agreements that align partner business with actual customer ROI.

Ability to view the partner ecosystem as a product, constantly iterating on feedback loops between funding, partner capabilities, and customer success.