
Google DeepMind is one of the world's leading AI research labs, known for breakthroughs including AlphaFold and Gemini. They're hiring a Technical Program Manager, Robotics Operations - London, based in London. This product & program management role sits within the UK's growing technology sector.
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The Robotics Operations team is looking for a Technical Program Manager to support the Google DeepMind Robotics research organization by providing robot platforms, lab spaces, data collection and policy evaluation resources to solve "Embodied AI."
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, 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.
As a Technical Program Manager on the Robotics Operations team, you will apply program management methodologies to multiple research initiatives to accelerate Google DeepMind's Embodied AI goals in a safe and responsible way.
The Technical Program Manager must thrive in a fast-paced environment and effectively manage cross-functional teams to deliver exceptional value to and accelerate Google DeepMind’s research through strategic cross-functional partnerships.
In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:
In addition, the following would be an advantage:
Google DeepMind is an AI research laboratory focused on building artificial general intelligence. Founded in London in 2010 by Demis Hassabis, Shane Legg, and Mustafa Suleyman, the company was acquired by Google in 2014 for approximately $660M. DeepMind pioneered breakthroughs including AlphaGo, the first program to defeat a world champion at Go, and AlphaFold, which solved the 50-year-old protein folding problem and has been used by over two million researchers worldwide. The lab remains headquartered in London with a large UK engineering presence and continues to push the boundaries of reinforcement learning, large language models, and scientific AI.