Senior Product Manager, Compute VM
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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 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 developing or launching infrastructure products or technologies within networking, storage, compute hardware, databases, file systems, data analytics, cluster management, and other software infrastructure areas.
Preferred qualifications:
- Experience in one or more of the following: compute architecture, data center infrastructure, CPU (x86/Arm) and I/O technologies, Cloud Infrastructure, Storage, understanding of the operational aspects of Cloud Servers.
- Understanding of different workload requirements (emerging and existing) and their demands on the underlying infrastructure, familiarity with key Enterprise workloads such as MSSQL , SAP HANA.
- Understanding of locally attached Storage systems (LSDD) and performance needs.
About the job
At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.
One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.
As a part of the Technical Infrastructure team, you will be building and maintaining the architecture that powers everything users see online, from developing and managing data centers to building the next-generation of Google platforms, making Google's entire product portfolio possible.
In this role, you will serve as an engineers' engineers and love voiding warranties by taking things apart so you can rebuild them, while keeping networks up and running to ensure users have the best and fastest experience possible.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
- Lead and harmonize processes to define, identify, collect, and track appropriate product or business metrics, both quantitative and qualitative for new or existing products or business ventures.
- Build and scale new CPU based VMs to market under google compute engine, including deep-diving into one of the fastest growing VMs segments for Cloud to meet the needs of AI/ML and general purpose compute needs.
- Drive the roadmap for CPU and Memory technologies, Guest OS support, network, storage, hypervisor and offloads.
- Analyze competitive dynamics and industry trends on where the innovation is happening for both workloads and hardware.
- Collaborate across hardware, software, research and product teams towards product goals and roadmap.
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