Senior Product Manager, Google Compute
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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 (statutory, where applicable); 5 days/event (discretionary)
- 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 or equivalent practical experience.
- 8 years of experience in product management or related technical role.
- 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
- 3 years of experience working with Cloud, Compute, SaaS, or enterprise technologies.
Preferred qualifications:
- Experience driving product goal, go-to-market strategy, and design discussions.
- Experience managing day-to-day technical and design direction.
- Experience in compute architecture, data center infrastructure, CPU (x86/Arm) and I/O technologies, and operational aspects of cloud servers.
- Experience bringing innovative, category-defining tech products to market and driving product goal and GTM strategy.
- Understanding of locally attached Storage systems (LSDD), performance needs, and workload requirements for enterprise applications like MSSQL or SAP HANA.
- Ability to communicate effectively and influence decisions cross-functionally and at all levels of an organization.
About the job
As a Senior Product Manager, you will define the roadmap for the core infrastructure that powers Google Compute Engine (GCE), one of the world’s largest compute fleets. You will bridge the gap between long-range hardware planning and high-impact go-to-market strategies that drive substantial revenue. This role is critical in helping global enterprises modernize their environments by delivering scalable, high-performance virtual machine (VM) solutions. By optimizing the underlying stack, you will directly influence the performance, efficiency, and flexibility that thousands of businesses rely on every day.You will build the most enterprise-ready cloud platform on the planet and your goal is to enable a global infrastructure that is both massive in scale and nimble enough to drive the latest innovations in AI, machine learning, and general-purpose compute.
You will operate with a "Silicon-to-Software" mindset which means owning the entire life-cycle, from custom silicon and server configurations to the hypervisor and Guest OS to ensure our customers always have the most optimized environment possible.
In this role, you will combine deep technical "chops" in the compute domain with a savvy business leader. You will not only plan for the next generation of processors but also lead the GTM efforts that turn technical breakthroughs into $500M agreements. You will engage in compelling conversations with Vice President (VPs) at major partners and customers to solve their most technical issues.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 behind Google's groundbreaking innovations, empowering the development of 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.
Responsibilities
- Define and drive the multi-year product roadmap for CPU and memory technologies, ensuring Google Compute Engine meets the performance and efficiency needs of modern workloads.
- Lead the product lifecycle for compute-based virtual machines, from deep-range silicon feature planning through to broad market scaling and adoption.
- Conduct business development strategy and go-to-market activities, building sales programs to secure business and market share for new infrastructure products.
- Serve as a technical and business expert in customer-facing engagements, influencing executive stakeholders at major partner and customer organizations.
- Collaborate with engineering, UX, marketing, and sales teams across all layers of the cloud stack to prioritize initiatives and maximize return on investment.
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