Technical Program Manager III, Infrastructure Storage Resources, Google Cloud
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- 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.
- 5 years of experience in program management.
- Experience in technical infrastructure (distributed systems) and system architecture.
- Experience using data analytics to manage cross-functional technical stakeholders and drive decision-making for infrastructure projects.
Preferred qualifications:
- 5 years of experience managing cross-functional or cross-team projects.
- Experience in the following areas: forecasting, capacity planning, demand planning, operations tool development.
- Experience in data analysis and manipulation using Python or SQL.
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 projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.
As a Technical Program Manager on the Google Customer Solutions (GCS) MOET (Margin Optimization and Efficiency Team), you will lead the transition from manual capacity operations to a future of intelligent orchestration. Your primary focus will be navigating supply scarcity by maximizing resource utilization and scaling inorganic demand planning via self-service automation. You will be responsible for defining the guardrails that protect Tier-1 AI/ML zones and driving speed of light efficiency programs across Compute, SSD, and Spindles. This role requires a unique blend of deep technical coordination with SREs/Software Engineers (SWEs) and strategic financial reasoning to ensure GCS capacity remains a primary driver of Google Cloud's success.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $163000 - $237000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead the transition from manual capacity operations to a fully automated, self-service ecosystem, implementing granular telemetry and feasibility engines to reduce feedback times on demand requests from weeks to under one hour.
- Design and enforce per-service guardrails and proactive capacity re-balancing strategies to ensure never block status for Tier-1 AI/ML zones and prevent resource priority inversion in shared storage pools.
- Lead speed of light optimization programs to maximize the utilization of Compute, Spindles, SSD, and Network resources across the global GCS fleet.
- Refine architectural efficiency strategies, including Spindle/SSD offsets, to maximize performance density while minimizing the unit cost of capacity.
- Partner and negotiate with Product, Engineering, and Finance teams to align resource allocations with business-criticality and proven utilization benchmarks.
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