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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 Deep Mind, 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 Deep Mind’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
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Define and champion a clear product vision, roadmap, and strategic plan for extending LLM capabilities via a software development kit (SDK).
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Identify and prioritize high-value, engaging use cases that leverage the power of Gemini to make everyday apps more powerful, personalized, and proactive.
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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.
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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.
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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.
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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 Deep Mind, we look for the following skills and experience:
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Bachelor's degree or equivalent practical experience.
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10 years of experience in product management or related technical role.
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5 years of experience taking technical products from conception to launch.
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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.
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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.
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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
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Experience working cross-functionally with engineering, UX/UI, legal, marketing and other stakeholders to deliver successful products
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Proven ability to prepare and deliver compelling technical presentations to senior leadership, effectively communicating product vision and strategy
In addition, the following would be an advantage:
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Experience working on developer platforms and building consumer experiences.
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Experience in the Android and iOS ecosystems.
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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
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Hands-on experience in software development or engineering, with a strong understanding of technical concepts and the ability to collaborate with development teams
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Demonstrated success in being a self-starter, and fostering a culture of innovation and driving exceptional results
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Experience in proactively identifying ethical risks in AI systems, familiarity with adversarial analysis, or a background in embedding safety protocols in AI product development
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About Google DeepMind

Google DeepMind
AcquiredDeepMind Technologies Limited, trading as Google DeepMind or simply DeepMind, is a British-American artificial intelligence research laboratory which serves as a subsidiary of Alphabet Inc.
1,001-5,000
Employees
London
Headquarters
Reviews
3.8
10 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
3.5
Career
4.0
Management
2.8
68%
Recommend to a Friend
Pros
Smart and brilliant colleagues
Good compensation and benefits
Work flexibility and remote options
Cons
Poor management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and goals
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer Rate
60%
Experience
Positive 60%
Neutral 40%
Negative 0%
Interview Process
1
Application Review
2
Phone Screen/Online Assessment
3
Technical Interview
4
Team Matching Interview
5
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Research Experience
System Design
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