Full-Time

Global Event Programs Lead

DeepMind

DeepMind

1-10 employees

AI research organization pursuing safe AGI

No salary listed

London, UK

In Person

Category
Growth & Marketing (2)
,
Requirements
  • Senior-level experience leading complex internal and external event programmes, ideally within a high-growth technology or scientific environment.
  • AI Fluency: A deep curiosity for the AI landscape and a track record of using emerging technology to enhance human connection.
  • The ability to "join the dots" across a complex global organisation, moving beyond execution to design holistic strategies that maximise impact.
  • A proven mentor who can inspire a team of 8 across different time zones, fostering a culture of excellence and bold experimentation.
  • A creative mindset with the ability to take nascent, complex scientific concepts and translate them into world-class tangible experiences.
  • A confident and influential communicator who builds trusted partnerships with senior leadership, stakeholders and partners.
  • Resilience & Agility: The ability to lead through ambiguity and change, in a fast-paced, high-stakes environment.
  • Exceptional project and budget management skills
  • A collaborative, inclusive approach
  • Flexibility to travel internationally.
Responsibilities
  • Design a global events portfolio that mirrors GDM’s position on the frontier of science and technology.
  • Cultivate trusted relationships with senior internal stakeholders, providing expert partnership and thought leadership to teams across Google DeepMind and Google.
  • Ensure flawless delivery by employing best-in-class event project management and operational rigor.
  • Drive impact by constantly iterating and innovating event formats at pace to increase engagement.
  • Maintain curiosity in the AI landscape and events industry, using global insights to inform our engagement strategy.
  • Lead and develop a team of 8 event managers based in London, UK and Mountain View, California.
  • Deputise for the Director of Global Events & Experiences when required.
  • Agency/Vendor management, budget management, and compliance with health, safety, and security governance.

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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