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 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 edge platforms or technologies within Artificial Intelligence or Agent AI workloads.
Preferred qualifications:
- Experience founding a startup or shipping significant side projects.
- Proficiency with modern AI coding assistants (e.g., Cursor, Replit Agent, Claude Dev, Gemini Code Assist) to accelerate development velocity.
- Familiarity with the LLM landscape (e.g., RAG, Agents, Context Windows) and the ability to troubleshoot when the vibe breaks.
- Ability to be comfortable in a terminal, and understand APIs/Webhooks.
- Ability to build working applications using AI coding assistants, and comfortable in a terminal and understand how to guide models to generate production-ready logic.
- Ability to write and debug code (e.g., Python, JavaScript/TypeScript) and build working applications.
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 Full Stack Product Manager for Applied ML and Agent Systems, you will work in an autonomous system worth more than a thousand slides. You are an 'intrapreneur' who refuses to wait for engineering resources to validate a hypothesis. Acting as an entrepreneurial leader, you will use both vibe coding tools for rapid UI/UX and agentic engineering tools to build production-ready logic and autonomous workflows from scratch. You will sit at the intersection of strategy and execution, responsible for proving the value of the Agentic AI stack by building, using, and refining it, until it is ready for company-wide and subsequently industry-wide scale.
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.
The US base salary range for this full-time position is $240,000-$334,000 + 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 (e.g., 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.
- Leverage the terminal as your primary interface, using tools like Gemini CLI (GCLI), Claude Code, and Codex CLI to orchestrate complex, multi-step autonomous systems. Define specialized agents and skills that allow agents to handle specialized Google tasks autonomously.
- 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.
