The role
From Google's own posting.
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.
This team strives to bring leading foundation models to Model Garden (commercial or OSS) and establish Gemini Enterprise as the best platform for inference, winning developers and enterprises. Expanded choice, highest possible performance, reliability, security and lowest possible costs are the key goals for the inference API business.
As a Group Product Manager for the Model Garden and 3P API business, you will be the primary architect of our third-party (3P) model strategy. You will lead with integration, and commercialization of the world’s most significant AI models, ensuring our platform remains the premier destination for developers and enterprises. You will require a blend of deep technical understanding, strategic business development, and the ability to navigate complex cross-functional landscapes.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google .
Prioritize high-impact partner models for Model Garden using a rigorous framework balancing performance, safety, and market demand.
Design business frameworks for 3P APIs and open-source offerings to ensure sustainable growth and engaging positioning.
Own KPIs, formulate GTM strategy, and partner directly with Sales and customers to drive adoption and product-market fit.
Act as the primary product interface for top AI research organizations, proactively resolving technical, legal, and commercial roadblocks.
Mentor "Model PMs" and elevate product management excellence by establishing best practices for model lifecycle management and integration.
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).
Experience working with foundation model providers.
Experience designing commercial models and pricing strategies for 3P APIs and open-source offerings.
Experience with LLM architectures, inference infrastructure, and the scaling of API-based businesses or cloud platforms.
Preferred qualifications:
Experience defining the strategy and portfolio of products for model ecosystems, inference platforms, or open-source ecosystems.
Demonstrated experience in building complex financial models, pricing strategies, and negotiating multi-party commercial agreements.
Deep understanding of the Generative AI landscape, including LLM architectures, inference infrastructure, and the open-source AI ecosystem.
Proven ability to influence executive leadership on investment decisions.
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).
Experience working with foundation model providers.
Experience designing commercial models and pricing strategies for 3P APIs and open-source offerings.
Experience with LLM architectures, inference infrastructure, and the scaling of API-based businesses or cloud platforms.