[Remote] Product Manager, Gemini App Integrated Assistance

Note: The job is a remote job and is open to candidates in USA. Google DeepMind is a team of scientists, engineers, and machine learning experts working to advance artificial intelligence for public benefit. The Product Manager on the Gemini App Integrated Assistance team will define and lead the product vision for integrating AI capabilities into everyday applications, driving innovation and responding to user needs in a rapidly evolving landscape.

Responsibilities

• Define and champion a clear product vision, roadmap, and strategic plan for extending LLM capabilities via a software development kit (SDK)
• Identify and prioritize high-value, engaging use cases that leverage the power of Gemini to make everyday apps more powerful, personalized, and proactive
• 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

Skills

• 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
• Experience working on developer platforms and building consumer experiences
• Experience in the Android and iOS ecosystems
• 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 Overview

• 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. It was founded in 2010, and is headquartered in London, England, GBR, with a workforce of 501-1000 employees. Its website is https://deepmind.google.

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