Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or a 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).

Preferred qualifications:

• MBA or advanced degree in a relevant technical or business field.
• Experience working in a technical role such as Software Engineering, Research Engineering, or Research Science.
• Experience with enterprise systems, cloud platforms, and AI deployments and shipping enterprise-grade Business-to-Business (B2B) or Software-as-a-Service (SaaS) products from concept to scale.
• Understanding of the Generative Artificial intelligence (AI)/Large Language Model (LLM) landscape, including model evaluations, model capabilities, prompt engineering, fine-tuning, and agentic architectures.

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.

In this role, you will work to create the roadmaps between Google wide engagements, with a focus on Gemini quality across different product surface areas and modalities. You will own the cross-surface model quality strategy for the biggest Gemini customer-impacting issues, and define the product strategy for advancing our enterprise capabilities for GDM models. You will serve as connective tissue between GDM Research, Google, and external partners, ensuring the success of Gemini's capabilities for enterprise customers. You will operate with high autonomy in an ambiguous, fast-moving environment.

Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

The US base salary range for this full-time position is $256,000-$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

• Own the cross-surface model quality strategy for Gemini across Cloud products driving prioritization and faster resolution of customer-impacting issues.
• Translate real-world quality signals and capability gaps from enterprise engagements into upstream research priorities, and close the loop by shipping improved model capabilities back into Cloud surfaces.
• Act as the connective tissue between Google Deepmind (GDM) Research and Cloud to align on shared priorities.
• Define and drive real-world evaluation frameworks that measure enterprise agent performance beyond standard benchmarks, establishing the quality bar across surface areas.

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Requisition #: 82295575180911302

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