Capacity Management Lead, Forward Deployed Engineering, Google Cloud

The Capacity Management Lead, Forward Deployed Engineering is a critical operational role focused on optimizing the deployment, utilization, and well-being of technical talent across AI Tech Go-to-Market teams. Operating as an individual contributor, you will own the end-to-end matchmaking process, aligning project requirements with consultant skill sets, availability, and constraints, while serving as a trusted advisor to practice managers and leadership. This role requires a data-driven, relationship-oriented professional who can seamlessly balance day-to-day tactical staffing with strategic forecasting and process improvement.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Poland: zł304000 - zł311000 (PLN) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience in program or project management.
  
• 5 years of experience managing cross-functional or cross-team projects.
  
• Experience using Salesforce or another CRM.

Preferred qualifications:

• 5 years of experience staffing project teams, management consulting, or corporate strategy.
• Experience with capacity planning models.
• Experience in staffing and forecasting in fractional staffing models.
• Experience building dashboards in BI tools.

Responsibilities:

• Partner with strategy and operations and AI Tech Go-to-Market leadership to create best practices for staffing and utilization management.
  
• Lead weekly staffing meetings with forward deployed engineering leadership teams and ensure supply and demand forecasts are accurate.
  
• Work separately to match forward deployed engineers with projects based on skill set, availability, timezone and other constraints.
  
• Partner with team leadership to manage assigned forward deployed engineers utilization, bandwidth and well being.
  
• Develop new metrics for tracking staffing efficiency.