Technical Program Manager, AI Sovereign Cloud Expansion Leader - Google

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 10 years of experience in technical program management.
• 10 years of experience managing execution of programs that span across multiple engineering teams.

Preferred qualifications:

• Bachelor's degree in Computer Science or Electrical Engineering, or a Master's degree or PhD.
• Sovereign cloud buildout and hyperscale data center deployment experience, leading programs for scaling cloud expansion while ensuring unparalleled customer experience.
• TPM people management skills and experience.
• Understanding of AI and Cloud infrastructure, platforms, services development, and experience with the latest AI chips and roadmaps.
• Strong business acumen using data modeling to construct analysis, identify business improvement opportunities, measure success, and communicate with stakeholders.

Responsibilities

• Drive a portfolio of large, complex AI and Cloud Expansion programs, identifying opportunities to increase expansion scale and speed by 10X while securing necessary investments.
• Coordinate a set of technical and non-technical stakeholders to streamline region buildouts, automate capacity delivery, and establish milestone reporting processes.
• Collaborate with product and engineering leaders to meet business objectives, effectively resolving or escalating issues to ensure on-time program delivery.
• Maintain an up-to-date view of program health and implement systematic methods to track status, manage risks, and ensure overall success.
• Create and implement new processes and tooling designed specifically to reduce operational toil for both engineering teams and customers.