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Product Manager, Gemini App Automation - Deep Research

DeepMind

$227,000 - $320,000
Sep 5, 2025
Mountain View, CA, US
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Google DeepMind is looking to define and lead the product vision for how users interact with AI, strategically integrating cutting-edge AI capabilities amidst a rapidly evolving technological landscape. This involves advancing generative AI technologies to serve as intelligent assistants, researchers, collaborators, and coaches, and creating an AI experience that deeply understands and supports individual user needs and ambitions, especially as product-market fit for novel LLM-powered experiences is still emerging.

Requirements

  • Demonstrable, extensive technical knowledge and hands-on product experience with advanced AI technologies, including Large Language Models (LLMs), and ideally familiarity with concepts like Diffusion Models or Retrieval-Augmented Generation (RAG).
  • Proven ability to intuitively understand and predict emerging AI model capabilities and engage in credible, informed collaborations with highly technical teams.
  • Proven experience in designing, managing, and continuously refining rigorous evaluation methods and success metrics for AI models and AI-powered products, converting performance insights into impactful product enhancements.
  • Demonstrated ability to independently drive complex product initiatives forward in ambiguous and rapidly evolving AI contexts, proactively clarifying uncertainties, generating insights from model behaviors, and adapting strategies decisively
  • Hands-on experience in software development or engineering, with a strong understanding of technical concepts and the ability to collaborate with development teams
  • Experience in proactively identifying ethical risks in AI systems, familiarity with adversarial analysis, or a background in embedding safety protocols in AI product development

Responsibilities

  • Define and champion a clear product vision, roadmap, and strategic plan for extending LLM capabilities via tools, effectively integrating emerging AI technologies and ensuring alignment with organizational mission and evolving user needs
  • Develop and prioritize product requirements by synthesizing user feedback, UX research, rigorous AI model performance metrics, market trends, and competitive analysis, proactively clarifying ambiguities specific to AI's evolving nature and generating insights from complex AI model behaviors to deliver impactful product improvements
  • Maintain deep technical expertise in advanced AI (including LLMs, Diffusion Models, RAG), intuitively understanding and predicting emerging model capabilities.
  • Drive rapid prototyping cycles, gathering targeted user feedback to iteratively refine AI products and swiftly respond to technical breakthroughs
  • Lead innovative product development amidst foundational uncertainty, enabling swift strategic pivots and responsive decision-making in response to rapidly changing AI and market conditions, ensuring continuous progress and clear direction
  • Proven ability to intuitively understand and predict emerging AI model capabilities and engage in credible, informed collaborations with highly technical teams.
  • Proven experience in designing, managing, and continuously refining rigorous evaluation methods and success metrics for AI models and AI-powered products, converting performance insights into impactful product enhancements.

Other

  • 10 years of experience in product management or related technical role.
  • 5 years of experience taking technical products from conception to launch.
  • Experience working cross-functionally with engineering, UX/UI, legal, marketing and other stakeholders to deliver successful products
  • Proven ability to prepare and deliver compelling technical presentations to senior leadership, effectively communicating product vision and strategy
  • Strong aptitude for deeply understanding user perspectives for novel AI products, proactively identifying pain points, and translating nuanced user insights into refined and intuitive AI-powered user experiences