Technical TPM: ML Fleet Capacity

Google Inc.; Kirkland (WA); On-site; USD 192,000 - 278,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid Time Off

Sick Time

Maternity Leave

Baby Bonding Leave

Holidays

Job summary

Google Inc. in Kirkland, WA is seeking a Technical Program Manager for ML Fleet Capacity, Systems Enablement to lead complex, multi‑disciplinary programs from scope to delivery.

You will own capacity planning, demand forecasting, and allocation governance across ML infrastructure, partner with multiple product and engineering teams, and communicate tradeoffs to executives.

Strong collaboration, influence without direct authority, and executive‑level presentation skills are essential.

Qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.
• 8 years of experience with demand forecasting, capacity planning, or capacity management within a cloud environment.
• 5 years of experience in leadership roles with/without direct reports.

Responsibilities

• Lead the technical program manager to deliver an automated solver solution for complex supply/demand matching.
• Lead cross-functional programs related to ML Fleet capacity management and allocation planning.
• Develop and maintain fleet-wide metrics, governance frameworks, and policies.
• Identify gaps and drive initiatives to improve tooling and processes for ML capacity allocation.
• Partner with ML Strategy, Resource Management, Capital Engineering, Supply teams, Tooling Engineering, and SREs.

Skills

Outcomes ownership

Ambiguity navigation

Stakeholder influence

Executive communication

Cross-functional collaboration

Education

Bachelor's degree in technical field or equivalent

Job description

Google Inc. in Kirkland, WA is seeking a Technical Program Manager for ML Fleet Capacity, Systems Enablement to lead complex, multi‑disciplinary programs from scope to delivery.

You will own capacity planning, demand forecasting, and allocation governance across ML infrastructure, partner with multiple product and engineering teams, and communicate tradeoffs to executives.

Strong collaboration, influence without direct authority, and executive‑level presentation skills are essential.