Product Manager, Google Compute Engine, VM Instance
Job Summary
Job Description
- 8+ years product management experience
- 6+ years Cloud Computing experience
- 3+ years taking products from conception to launch
- Experience with infrastructure products
- Cross-functional collaboration skills
- Master's degree
- Experience in business functions
- Technical presentation experience
- People management experience
- Software development experience
- Bonus
- Equity
- Benefits
5 skills required
Job Details
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in product management or related technical role.
- 6 years of experience in Cloud Computing
- 3 years of experience taking technical products from conception to launch.
- 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:
- Master's degree in a technology or business related field.
- 5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
- 5 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
- 4 years of experience in a role preparing and delivering technical presentations to senior leadership.
- 3 years of people management experience with direct reports, and in technical leadership.
- 3 years of experience in software development or engineering.
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.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .
Responsibilities
- Driving new capabilities for the VM instances in cloud including intercepting new technologies, road map planning, business growth forecasting, ecosystem, and customer adoption.
- Be responsible for the product strategy for the VM Instance including the associated business outcomes including presenting to key leadership inside Google Cloud Platform.
- Work across Hardware, Software, Research and Product teams towards long term product goals. Understand the competitive dynamics and industry trends on where the innovation is happening for both workloads and hardware.
- Provide data-driven insights to prioritize engineering initiatives.
- Drive new capabilities in the foundational Compute Infrastructure layer and deliver innovation for Google Cloud.
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