Job description

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 the Product Lead for Google Cloud Storage's AI data strategy, you will own the zero-to-one journey of transforming how enterprises store, retrieve, and activate their unstructured data for autonomous agents.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google . • Define the product roadmap and requirements for new smart storage and semantic search capabilities, guiding them from Preview launches to General Availability (GA). • Benchmark competitive products and extract actionable insights to shape product strategy and drive the roadmap. • Collaborate with cross-functional stakeholders to accelerate adoption and revenue growth. • Navigate the challenges of building retrieval systems for exabytes of data, ensuring optimal price-performance for cost-sensitive, high-scale vector search workloads. • Bachelor's degree or equivalent practical experience. • 8 years of experience in product management or a 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 in Cloud storage and the overall public cloud ecosystem including customer requirements, market trends, competitive positioning. Minimum qualifications: • Bachelor's degree or equivalent practical experience. • 8 years of experience in product management or a 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 in Cloud storage and the overall public cloud ecosystem including customer requirements, market trends, competitive positioning. Preferred qualifications: • Master's degree in a technology or business related field. • 5 years of experience working cross-functionally with engineering, Developer Relations, and Outbound Product Management. • 3 years of experience in software development or engineering, including building and scaling vector search, vector databases, or Retrieval-Augmented Generation (RAG) products within cloud services. • Experience with the Generative AI and Agent ecosystem, including agent frameworks (e.g., LangChain) and enterprise AI platforms. • Experience taking developer-facing APIs, SDKs, or AI platforms from concept to General Availability. • The ability to effectively, efficiently, and ethically interact with artificial intelligence systems to drive productivity and achieve desired outcomes.

Requirements

Must-haves

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.
Learn more about benefits at Google .
Define the product roadmap and requirements for new smart storage and semantic search capabilities, guiding them from Preview launches to General Availability (GA).
Benchmark competitive products and extract actionable insights to shape product strategy and drive the roadmap.
Collaborate with cross-functional stakeholders to accelerate adoption and revenue growth.
Navigate the challenges of building retrieval systems for exabytes of data, ensuring optimal price-performance for cost-sensitive, high-scale vector search workloads.
Bachelor's degree or equivalent practical experience.
8 years of experience in product management or a 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 in Cloud storage and the overall public cloud ecosystem including customer requirements, market trends, competitive positioning.
Bachelor's degree or equivalent practical experience.
8 years of experience in product management or a 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 in Cloud storage and the overall public cloud ecosystem including customer requirements, market trends, competitive positioning.
5 years of experience working cross-functionally with engineering, Developer Relations, and Outbound Product Management.
3 years of experience in software development or engineering, including building and scaling vector search, vector databases, or Retrieval-Augmented Generation (RAG) products within cloud services.

Nice-to-haves

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Master's degree in a technology or business related field.
Experience with the Generative AI and Agent ecosystem, including agent frameworks (e.g., LangChain) and enterprise AI platforms.
Experience taking developer-facing APIs, SDKs, or AI platforms from concept to General Availability.
The ability to effectively, efficiently, and ethically interact with artificial intelligence systems to drive productivity and achieve desired outcomes.

Application prep

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Keywords to mirror

Platform: google
Effort: medium