Description

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).
• Experience building and automating a project with AI coding and prototyping tools (e.g., Antigravity, etc.).

Preferred qualifications:

• Master's degree in a technology or business related field.
• Experience founding a startup or shipping significant side projects.
• Experience in working directly with customers to architect and build technical solutions.
• Familiarity with the LLM landscape (RAG, Agents) and the ability to troubleshoot.
• Ability to write and debug code (Python, JavaScript/TypeScript) and build working applications.
• Ability to create polished, user-friendly interfaces using AI design tools (v0, Figma) without a dedicated designer.

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 AI2 Innovation Accelerator team aims to solve Google's innovator's dilemma in the AI era. We act as a high-velocity for disruptive, high-reward ideas that typically struggle to get prioritized within Objectives and Key Results (OKRs) and established product roadmaps. We utilize a venture studio model, investing in entrepreneurial founders, removing organizational and bureaucratic bottlenecks to enable teams to execute quickly, fail-fast, and learn and iterate. We are embedded within AI2 as an organization, which partners with product areas across Google to identify their highest priority business objectives. We aim to transform Google's industry-leading research into tangible business and adoption at unprecedented speeds.

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 the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge 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.

The US base salary range for this full-time position is $192,000-$278,000 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 benefits at Google.


Responsibilities

• Use AI-native tools (Cursor, Replit, Lovable) to rapidly prototype full-stack applications, turning abstract ideas into clickable reality in days.
• Replace static product requirements documents (PRDs) with live demos to show partners what is possible, validating desirability before significant engineering investment.
• Solve hard technical blockers and unblock the path to launch, acting as a co-builder alongside engineering teams.
• Operate with autonomy, optimism, and bias for finding creative solutions to unblock the path from 0 to 1.
• Embed with customers (Forward Deployed model) to identify high-value use cases that can be solved with AI agents. Translate raw pain points into technical specifications and working proofs-of-concept.

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Requisition #: 113901120673194694

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