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Google DeepMind · 2 days ago

Product Manager, Gemini App for Devices

Mountain View, CA

Full-time

Onsite

Senior Level, Lead/Staff

$183K/yr - $271K/yr

10+ years exp

Google DeepMind is a team of scientists and engineers focused on advancing artificial intelligence for public benefit. The role involves defining the product vision for integrating AI capabilities into various devices, while driving innovation and ensuring alignment with user needs.

Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning

Growth Opportunities

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

Lead and influence cross-functional teams (Engineering, Research, UX, Legal, etc.) to design, implement, and launch innovative features, effectively bridging AI's technical complexity with organizational goals and user needs through clear communication and strategic narratives

Own and drive masterful 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 in a rapidly paced AI landscape

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

Qualification

Product ManagementLarge Language Models (LLMs)AI TechnologiesUser Experience (UX)Cross-functional CollaborationTechnical PresentationsSoftware DevelopmentInnovation CultureEthical AI

Required

Bachelor's degree or equivalent practical experience

10 years of experience in product management or related technical role

5 years of experience taking technical products from conception to launch

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

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

Preferred

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

Hands-on experience in software development or engineering, with a strong understanding of technical concepts and the ability to collaborate with development teams

Demonstrated success in being a self-starter, and fostering a culture of innovation and driving exceptional results

Experience in proactively identifying ethical risks in AI systems, familiarity with adversarial analysis, or a background in embedding safety protocols in AI product development

Benefits

Bonus

Equity

Benefits

Company

Google DeepMind

Glassdoor4.5

Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.

Founded in 2010

London, England, GBR

501-1000 employees