Senior Leadership Technical Program Manager, Network Demand Management

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 10 years of experience in program management.
  
• 7 years of experience in leadership role(s) with direct reports.

Preferred qualifications:

• Experience defining system or process requirements, building, integrating, or delivering layer 1, layer 2 or layer 3 network systems.
• Understanding of the technical and process challenges associated with network forecasting and planning.
• Ability to collaborate and influence stakeholders at all levels, bridging the gap between technical engineering staff and executive leadership.
• Ability to manage multiple priorities in a busy, ambiguous environment, delivering timely results with excellent organizational skills and attention to detail.
• Excellent problem-solving and financial skills e.g., business/project budget creation and cost-benefit analysis.

About the job

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams.

In this role, you will be at the forefront of scaling Google's global network by leading the team responsible for managing and optimizing Google's network demand and forecasting. You will drive the strategy, forecasting, and operational excellence required to scale Google's network infrastructure in a highly complex environment. You will leverage your expertise in networking, advanced data analytics, and process optimization to deliver predictable, high-quality forecasts and demands that directly enable Google's business goals. Most importantly, you will be passionate about the growth and culture of their team. Looking to deliberately develop and grow a culture that enables creative solutions and drives positive impact on the wider organization.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full-time position is $227,000-$320,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Define and drive the long-term strategy for network demand generation, aligning team goals with wider organizational objectives and key results (OKRs).
• Manage and optimize end-to-end forecast and demand generation processes, including defining new workflows for onboarding new network products.
• Lead comprehensive data analysis and metric development to enhance forecasting accuracy, utilizing interactive dashboards to drive informed decision-making.
• Coach, mentor, and develop direct reports and next-in-line leaders, ensuring a strong team identity and cohesion.
• Identify needs for change and drive scalable, continuous improvement initiatives across the organization, establishing company-wide best practices. Communicate complex insights effectively to stakeholders from engineers to VPs, reconciling conflicting priorities to maximize business impact.