Product Manager, Deep Zoom, DeepMind

DeepMind Technologies Limited · Mountain View, California, United States

$138K to $197K a year as published by the employer

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Summary

Drive the expansion of Deep Zoom visual learning experiences by defining user interactions, establishing quality metrics, and collaborating with engineering and research teams.

About this role

Minimum qualifications:

Bachelor's degree or equivalent practical experience. 3 years of experience in product management or related technical role.

Preferred qualifications:

Experience defining intuitive user experiences and establishing structured criteria or frameworks to measure and improve product quality. Experience using a data-driven approach to synthesize user behavior, demand signals, and evaluation metrics into actionable priorities. Experience navigating ambiguous product environments and translating complex requirements into repeatable systems. Familiarity with generative AI capabilities and constraints, including LLMs, multimodal models, generative media, or model evaluation workflows.

About The Job

Deep Zoom is an immersive visual learning experience within the Gemini app and a priority for GenAI. We transform static answers into explorable, AI-generated visual worlds where users can dive deeper into topics across science, history, and nature. Having recently launched our initial 20 curated worlds, we are now building automated generation and evaluation foundations to scale to thousands of topics and unlock real-time, on-demand world generation.

Joining Deep Zoom means shaping the future of multimodal, visual-first AI interaction. You will work at the generative media and evaluation alongside engineering, design, and research teams to build a flagship Gemini experience.

Artificial intelligence will be one of humanity’s most transformative inventions. At 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

Drive execution to expand from 20 launch worlds to thousands of topic experiences, using demand signals to prioritize domains (science, history, nature) and streamline pipelines. Own quality across storytelling depth, factual accuracy, and visual fidelity; partner with research/engineers to build automated evaluation pipelines. Define how users enter, explore, and interact with visual scenes within the Gemini app, balancing immersion with effortless navigation. Establish product health metrics (engagement, exploration depth) and connect live behavior back to offline quality evaluations. Partner day-to-day with Engineers, UX, and Research to translate roadmap goals into shippable quarterly milestones.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Skills named in this posting

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About DeepMind Technologies Limited

Google DeepMind is a pioneering AI lab focused on advancing artificial intelligence for scientific discovery and public benefit.

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