Product Manager, Gemini App Integrated Assistance at DeepMind

Mountain View, California, United States

DeepMind Logo
Not SpecifiedCompensation
N/AExperience Level
N/AJob Type
Not SpecifiedVisa
N/AIndustries

Requirements

  • 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

Responsibilities

  • Define and champion a clear product vision, roadmap, and strategic plan for extending LLM capabilities via a software development kit (SDK) for first
  • 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
  • Own and drive go-to-market strategies for new AI features and products
  • Maintain deep technical expertise in advanced AI (including LLMs, Diffusion Models, RAG)
  • Lead innovative product development amidst foundational uncertainty, enabling swift strategic pivots and responsive decision-making

Skills

DeepMind

Develops artificial general intelligence systems

About DeepMind

This company leads in the field of artificial general intelligence (AGI), with notable applications across healthcare, energy management, and biotechnology. Their work in early diagnostic tools for eye diseases, optimizing energy usage in major data centers, and groundbreaking contributions to protein structure prediction underlines their commitment to harnessing AI for diverse practical applications. The company's dedication to pushing the boundaries of AI technology not only propels the industry forward but also creates a dynamic and impactful working environment for its employees.

London, United KingdomHeadquarters
2010Year Founded
$4.9MTotal Funding
ACQUISITIONCompany Stage
AI & Machine Learning, BiotechnologyIndustries
1,001-5,000Employees

Benefits

Performance Bonus

Risks

Emerging AI models may challenge DeepMind's current strategies.
Backlash against AI models like Gemini poses reputational risks.
Labeling AI-generated content could increase operational complexity for DeepMind.

Differentiation

DeepMind combines AI, ML, and neuroscience for general-purpose learning algorithms.
DeepMind's AlphaFold model advances protein folding research significantly.
GraphCast by DeepMind offers rapid, accurate ten-day weather forecasts.

Upsides

AI-driven drug discovery is set to grow significantly in 2024.
AlphaCode 2 showcases AI's potential in competitive programming.
DeepMind's AI tools are transforming music creation and meteorology.

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