Product Manager, Gemini App, Deepmind

Google Google · Big Tech · Mountain View, CA +2

Product Manager role focused on defining and leading the product strategy for user interaction with AI, specifically integrating LLM capabilities into products like intelligent assistants. The role involves defining roadmaps, prioritizing requirements, leading cross-functional teams, driving go-to-market strategies, and staying knowledgeable about advanced AI technologies and their emerging capabilities. Experience with AI model evaluation and user perspectives for AI products is preferred.

What you'd actually do

  1. Define and lead a clear product idea, roadmap, and strategic plan for extending LLM capabilities via tools, integrating emerging AI technologies, and ensuring alignment with organizational goals and evolving user needs.
  2. Develop and prioritize product requirements by synthesizing user feedback, UX research, AI model performance metrics, market trends, and competitive analysis, clarifying ambiguities specific to AI's evolving nature and generating insights from AI model behaviors to deliver impactful product improvements.
  3. Lead and influence cross-functional teams to design, implement, and launch innovative features, bridging AI's technical complexity with organizational goals and user needs.
  4. Own and drive go-to-market strategies for new AI features and products, including strategic positioning, market understanding, and impactful messaging to ensure successful launch and sustained market relevance.
  5. Maintain knowledge in advanced AI (e.g., LLMs, Diffusion Models, RAG), and predict emerging model capabilities.

Skills

Required

  • 5 years of experience in product management or related technical role
  • 2 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 products
  • Experience with advanced AI technologies, including Large Language Models (LLMs)

Nice to have

  • Experience in designing, managing, and refining evaluation methods and success metrics for AI models and AI-powered products, converting performance insights into impactful product enhancements
  • Knowledge of user perspectives for AI products, with experience identifying pain points and translating user insights into refined and intuitive AI-powered user experiences
  • Ability to understand and predict emerging AI model capabilities and engage in credible, informed collaborations with technical teams
  • Ability to prepare and deliver compelling technical presentations to senior leadership, communicating product idea and strategy

What the JD emphasized

  • define and lead a clear product idea, roadmap, and strategic plan
  • bridging AI's technical complexity with organizational goals and user needs
  • Experience in designing, managing, and refining evaluation methods and success metrics for AI models and AI-powered products

Other signals

  • integrating AI capabilities
  • advancement of generative AI technologies
  • intelligent assistants
  • define and lead a clear product idea, roadmap, and strategic plan
  • bridging AI's technical complexity with organizational goals and user needs
  • own and drive go-to-market strategies for new AI features and products
  • Maintain knowledge in advanced AI (e.g., LLMs, Diffusion Models, RAG)
  • Experience in designing, managing, and refining evaluation methods and success metrics for AI models and AI-powered products