Full-Time

Product Manager

Technology Strategy & Compute

Confirmed live in the last 24 hours

DeepMind

DeepMind

1,001-5,000 employees

Advances artificial intelligence for public benefit

No salary listed

Mid, Senior

London, UK

Category
Product Management
Product
Required Skills
Product Management
Financial Modeling
Connection
Connection
Connection
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Requirements
  • Bachelor's degree in a quantitative field (e.g., finance, economics, engineering, computer science)
  • 3+ years of experience in financial modeling and analysis, preferably in an investment research, strategic consulting, or technology company setting or as a product manager in a go-to-market function
  • Strong analytical and problem-solving skills with the ability to synthesise complex information and draw meaningful insights
  • Excellent communication and presentation skills with the ability to effectively convey technical information to both technical and non-technical audiences
  • Passion for AI and a strong understanding of the AI landscape
Responsibilities
  • Develop and maintain a comprehensive long-range compute plan that anticipates future compute needs and aligns with Google's strategic objectives
  • Work with Google teams to continuously monitor and analyse actual compute usage patterns
  • Incorporate the latest technological advancements and ground truth data into the compute planning models
  • Identify opportunities to improve the accuracy and efficiency of our forecasting and planning processes
  • Build detailed financial models to evaluate the costs and benefits of different compute options
  • Conduct sensitivity analyses and scenario planning to assess the impact of various factors on compute costs and Google’s strategic flexibility
  • Build and maintain high level financial models of main industry players
  • Analyse the financial health and strategies of key industry players and competitors
  • Develop a compelling narrative around the compute planning model
  • Communicate changes to the model and their rationale to stakeholders across Google, ensuring transparency and buy-in
  • Create presentations, reports, and other materials to effectively communicate the model and its implications
Desired Qualifications
  • CFA, MBA or Master's degree in a relevant field
  • Familiarity with markets for AI hardware and software technologies
  • Experience with cloud computing platforms (e.g., Google Cloud, AWS, Azure)

DeepMind focuses on advancing artificial intelligence through a collaborative team of scientists, engineers, and machine learning experts. Their technologies are designed for public benefit and scientific discovery, with a strong emphasis on safety and ethics. DeepMind aims to develop artificial general intelligence (AGI), which refers to systems that can solve a wide range of problems. They have achieved significant milestones in AI research, such as creating programs that can diagnose eye diseases as accurately as top doctors, reduce energy consumption in data centers, and predict the 3D shapes of proteins, which may revolutionize drug development. Their goal is to leverage AI to address some of the most pressing scientific challenges facing society.

Company Size

1,001-5,000

Company Stage

Acquired

Total Funding

$533M

Headquarters

London, United Kingdom

Founded

2010

Simplify Jobs

Simplify's Take

What believers are saying

  • AI-driven drug discovery collaborations with Lilly and Novartis show healthcare potential.
  • AlphaCode 2 demonstrates significant advancements in AI-driven coding solutions.
  • DeepMind's AI models could benefit from exploring new architectures beyond Transformers.

What critics are saying

  • Backlash against Google's Gemini AI model could affect DeepMind's reputation.
  • Competitors' rapid AI drug discovery advancements may overshadow DeepMind's efforts.
  • Pressure to adopt transparency measures like Meta's could increase operational costs.

What makes DeepMind unique

  • DeepMind combines AI, ML, and neuroscience for general-purpose learning algorithms.
  • DeepMind's AlphaCode 2 advances competitive programming using the Gemini model.
  • DeepMind's GraphCast AI model offers rapid, accurate ten-day weather forecasts.

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Benefits

Performance Bonus

Company News

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DeepMind's latest research at ICLR 2023

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VentureBeat
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The Bridge
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VentureBeat
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In a new post this morning, Meta announced it will identify and label AI-generated content on Facebook, Instagram and Threads — though it cautioned it is “not yet possible to identify all AI-generated content.” The announcement comes two weeks after pornographic AI-generated deepfakes of singer Taylor Swift went viral on Twitter, leading to condemnation from fans and lawmakers, as well as global headlines. It also comes as Meta comes under pressure to deal with AI-generated images and doctored videos in advance of the 2024 US elections. Nick Clegg, president of global affairs at Meta, wrote that “these are early days for the spread of AI-generated content,” adding that as it becomes more common, “there will be debates across society about what should and shouldn’t be done to identify both synthetic and non-synthetic content.” The company would “continue to watch and learn, and we’ll keep our approach under review as we do. We’ll keep collaborating with our industry peers. And we’ll remain in a dialogue with governments and civil society.” The post emphasized that Meta is working with industry organizations like the Partnership on AI (PAI) to develop common standards for identifying AI-generated content. It said the invisible markers used for Meta AI images – IPTC metadata and invisible watermarks – are in line with PAI’s best practices