Program Manager III, Supply Chain, Google Distributed Cloud
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Apply to Program Manager III, Supply Chain, Google Distributed Cloud at GoogleJob details
- Location
- Kirkland or Cambridge or Sunnyvale
- Work type
- Onsite
- Compensation
- $159,000 - $230,000/yr
- Posted
- yesterday
- Apply on
- careers.google.com
About this role
- 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
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Cambridge, MA, USA; Sunnyvale, CA, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in program or project management.
- Experience designing, constructing, or managing cloud infrastructure projects.
- Experience in cloud supply chain management.
- Experience managing hardware requirements with internal and external partners (e.g., Bill of Materials (BOM) configurations, rack layouts, and physical infrastructure mapping).
Preferred qualifications:
- 5 years of experience managing cross-functional or cross-team projects.
- Proven track record of managing complex projects and vendor relationships.
- Strong analytical and problem-solving skills, with the ability to identify and resolve issues quickly.
- Excellent communication and people management skills, with the ability to build relationships across functions and with external partners.
About the job
A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
Google Distributed Cloud (GDC) is a fully managed software and hardware solution for data centers and edge locations to address regulatory, local data processing, survivability, and low-latency needs. GDC extends Google’s infrastructure and services to customer data centers, edge locations, and hybrid environments.
Our mission is to power Google Distributed Cloud with a supply chain as intelligent, scalable, and resilient as the cloud itself. We connect innovation to execution, building trusted global partnerships, accelerating time-to-market, and enabling the hardware foundation that brings Google’s compute, AI, and edge capabilities closer to every user, everywhere.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Act as the primary owner for complex customer orders intake, establishing and enforcing rigorous complex order acceptance criteria.
- Manage complex deployment variables, including Bill of Materials (BOM) configurations, rack layouts, and physical infrastructure mapping, prioritizing General Availability (GA) standardization in a dynamic environment.
- Leverage deep understanding of critical facility infrastructure, including power distribution, advanced cooling methodologies, and complex physical networking architecture, to navigate various customer environments.
- Lead engagements with global System Integrators (SIs) and hardware partners to drive procurement, track critical delivery milestones, and resolve high-level deployment escalations.
- Utilize technical proficiencies to script, automate, and interact with enterprise-scale AI systems, driving continuous process improvement and increasing overall supply chain predictability.