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 AI Rapid Response Team (AIRRT) is looking for a Forward Deployed Full Stack Group Product Manager, a hybrid product engineer and orchestrator who develop in high-velocity, high-ambiguity environments. Unlike traditional Product Manager (PM) roles, you won't just write Product Requirements Documents (PRDs), you will be embedded directly within strategic partner teams (e.g., Waymo, Treasury, Data Centers) for month engagements to co-build production-ready AI agents and ML efficiency solutions.
In this role, you are responsible for building the initial bespoke, high-impact solutions that value before they are generalized for the broader Google platform. You will use vibe coding and agentic engineering tools to turn abstract ideas into clickable, production-ready reality in days, not months.
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
- Embed with partner organizations to identify high-value AI use cases that address Priority zero (P0) initiatives or VP-level requests.
- Use AI-native tools to prototype full-stack applications, replacing static documentation with live demos to close the imagination gap for partners.
- Leverage the terminal and agentic CLI tools (e.g., Gemini CLI, Antigravity, Claude Code) to build and refine specialized AI agents that automate complex Google-specific tasks.
- Act as the primary interface between AI/ML researchers and production environments, ensuring that solutions are production-ready and deliver massive Return on Investment (ROI).
- Act as customer zero for emerging internal developer tools, automating your own operational toil and providing technical feedback to platform teams to drive product improvements.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in product management or related technical roles.
- 5 years of experience developing or launching products or technologies within Artificial Intelligence or Machine Learning (AI or ML).
- 5 years of experience in technical product management, software engineering, or forward-deployed engineering.
Preferred qualifications:
- Master's degree in a technology or business related field.
- 7 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
- Proficiency with modern AI coding assistants (e.g., antigravity, cursor, Gemini code assist, claude code) to accelerate development velocity.
- Understanding of APIs/Webhooks, and knowing the way around a codebase.
- Ability to write and debug code (e.g., Python, JavaScript/TypeScript).