Product Manager, Gemini App Integrated Assistance

Snapshot

This is an opportunity to join a team at the forefront of defining how billions of people will interact with AI. As a Product Manager on the Gemini App Integrated Assistance team, you will be responsible for integrating Gemini into the apps and platforms people use every day across Android, iOS, and the web. This is a highly cross-functional role that requires a unique blend of experience with developer platforms and building exceptional consumer experiences.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

This is an opportunity to join DeepMind’s Gemini App team where you will 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 role requires someone who is comfortable driving innovation in a space where foundational AI technologies and user needs are co-evolving rapidly. By leveraging cutting-edge large language models (LLMs), you will contribute to the advancement of generative AI technologies, enabling them to serve as intelligent assistants, researchers, collaborators, and coaches.

This role offers the opportunity to make a profound impact by creating an AI experience that deeply understands and supports individual user needs and ambitions. This is especially critical as product-market fit for novel LLM-powered experiences is still emerging, requiring keen insight to translate subtle user needs into intuitive AI solutions. You will work with a talented team passionate about pushing the boundaries of what's possible in conversational AI. If you're excited about shaping the future of human-AI interaction and developing innovative products that seamlessly integrate into users' daily lives, this is your chance to be at the forefront of this transformative field.

Key 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.

About You

In order to set you up for success as a Product Manager at Google DeepMind,  we look for the following skills and experience:

• 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 experi