Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or a related technical role.
- 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
- Experience integrating generative AI tools or LLM interfaces into workflows.
- Experience launching AI/LLM-based agents into a production environment.
Preferred qualifications:- Master's degree in a technology or a business related field.
- 3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
- 3 years of experience in a role preparing and delivering technical presentations to senior leadership.
- 2 years of experience in software development or engineering.
- 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
About the jobIn 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 Customer Engagement (CE) team builds tools enabling Google to intelligently engage customers across Ads and Consumer products serving 1B monthly users, including YouTube, Search, and Gmail. On our AI Platform team, you will drive agentic automation across external user-facing and internal sales and support surfaces. Focusing on Agent and Skill Authoring, you will own the product vision for the frameworks and tooling that allow engineers and domain experts to build, debug, evaluate, and safely scale complex, multi-step AI agents. Your primary focus is enabling portability and speed-delivering capabilities that allow authors to build once, iterate quickly, and run agents reliably anywhere with robust governance and observability built in. In this role, you will bridge SOTA GenAI technology with developer tooling to power high-impact automation globally.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities- Define the direction and roadmap for agentic AI within our platform, aligning with core business goals.
- Partner with engineering to turn product outlook into technical specifications and evaluate decisions' product impact.
- Master partner use cases to build platform capabilities that maximize technical user and customer value.
- Coordinate with design, engineering, sales, and research teams to deliver cohesive, successful product launches.
- Partner across Google (including DeepMind) and track emerging trends to integrate AI into the platform.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
