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In office (Tel Aviv)
Seniority
Staff · 10+ years exp
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Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 6, 2026. Google scores B on the Alion truth index.

Overview
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Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

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.

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.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Define and execute the product strategy and roadmap for file storage, ensuring alignment with evolving market needs and internal infrastructure capabilities.
  • Influence cross-organizational alignment of product and Go-To-Market (GTM) strategies and roadmaps, especially around agentic AI.
  • Collaborate with cross-functional engineering teams to deliver integrated storage services that meet the demands of AI and enterprise customers.
  • Drive product-market fit by gathering deep technical requirements from customers and translating them into prioritized feature sets and long-term product goal.
  • Manage the end-to-end product life cycle, from initial concept and development to go-to-market strategy and global launch.

Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience in product management or a related technical role.
  • 5 years of experience in Cloud storage and the overall public cloud ecosystem including customer requirements, market trends positioning.

Preferred qualifications:

  • Master's degree in a technology or business related field.
  • Experience in product management leadership, within cloud infrastructure or enterprise software.
  • Experience launching 0 to 1 products or scaling enterprise cloud services at a global level.
  • Experience with AI workloads, especially agentic AI.
  • Knowledge of modern storage architectures, file systems, and the data requirements of computing environments (e.g., AI/ML, Big Data).
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