Full-Time

Product Manager

Information Quality, Frontier AI

DeepMind

DeepMind

1-10 employees

AI research organization pursuing safe AGI

Compensation Overview

$240k - $334k/yr

+ Bonus + Equity

Mountain View, CA, USA

In Person

Category
Product (2)
,
Requirements
  • BSc, MSc or PhD in Computer Science, Information Science, Economics, or a related field.
  • Deep understanding of AI models and their implications for content generation and dissemination.
  • Demonstrated experience in building AI products rooted in trust & safety, information retrieval, content provenance, or misinformation detection.
  • A rich understanding of the current societal challenges posed by generative AI, including the economics of the web and digital information ecosystems.
  • Ability to stay up-to-speed on all relevant research in synthetic content detection, watermarking, and agentic systems.
  • Ability to build clear visions and strategies for translating complex societal challenges into scalable product features or tools.
  • Strong ability to communicate complex technical and societal concepts with great simplicity.
  • Very strong ability to collaborate in high stakes environments with multiple senior stakeholders, policy experts, and technical leads.
Responsibilities
  • Understand the societal impact of new generative models and drive research breakthroughs in information quality, provenance, and trust.
  • Build collaborations with product teams across Google (e.g., Search, YouTube, News) and model development teams to ship cutting-edge generative AI detection and misinformation mitigation technologies.
  • Work with researchers to envision, develop, and ship new agentic tools aimed at enhancing human information literacy and critical understanding of AI-generated content.
  • Investigate and model the economics of information to ensure sustainable, high-quality knowledge creation and dissemination in an AI-abundant future.
  • Evangelize research in AI safety and information integrity, making technical breakthroughs as self-serve and platformized as possible to scale across Google products.
  • Sometimes, incubate entirely new products or frameworks focused on societal resilience and trust.

DeepMind conducts research in artificial intelligence to advance general problem-solving capabilities with safety and ethics guiding every project. It develops AI systems and learning algorithms that can tackle complex tasks, such as diagnosing eye diseases, reducing data center energy use, and predicting 3D protein shapes. These products work by learning from large datasets and optimizing models to perform specialized tasks, often through deep neural networks and reinforcement learning, then deploying the resulting systems to assist scientists, doctors, and engineers. What sets DeepMind apart is its emphasis on rigorous fundamental research published in top journals, a strong safety/ethical framework, and collaboration on real-world scientific challenges, rather than just commercial applications. The company’s long-term goal is to solve intelligence and build more general, capable problem-solving systems that can help society address major scientific and humanitarian problems.

Company Size

1-10

Company Stage

Acquired

Total Funding

$533M

Headquarters

Thessaloníki, Greece

Founded

2010

Simplify Jobs

Simplify's Take

What believers are saying

  • GraphCast excels in extreme weather prediction, partnering with disaster agencies.
  • AlphaFold collaborates with DNDi on Chagas and Leishmaniasis therapeutics.
  • Open GraphCast deployment since September 2024 enables enterprise licensing.

What critics are saying

  • Top AI talent exits DeepMind due to Google merger bureaucracy.
  • Isomorphic Labs secures Eli Lilly and Novartis drug discovery deals.
  • NVIDIA's PhysicsNeMo reimplements GraphCast, commoditizing the technology.

What makes DeepMind unique

  • AlphaFold predicts protein structures, catalyzing biology progress since 2021.
  • GraphCast delivers 90% accurate 10-day weather forecasts in under one minute.
  • AlphaGo defeated Go champion Lee Sedol in 2016 using reinforcement learning.

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