
Google DeepMind is a leading artificial intelligence research company that merges Google Brain and DeepMind. They focus on building next-generation AI systems safely and responsibly to benefit humanity. Their work spans across various domains, including AI for biology (AlphaFold, AlphaMissense, AlphaProteo), climate and sustainability (WeatherNext), mathematics and computer science (AlphaGeometry, AlphaProof), physics and chemistry (GNoME, Fusion, AlphaQubit), and AI transparency (SynthID). Key products and research areas include the Gemini family of models (2.5 Pro, Flash, Flash-Lite), Gemma open models, and generative models like Imagen, Lyria, and Veo. DeepMind's mission is to 'solve intelligence' and develop artificial general intelligence (AGI) to address fundamental scientific challenges. They emphasize responsible AI development, collaboration, and education.

Google DeepMind is a leading artificial intelligence research company that merges Google Brain and DeepMind. They focus on building next-generation AI systems safely and responsibly to benefit humanity. Their work spans across various domains, including AI for biology (AlphaFold, AlphaMissense, AlphaProteo), climate and sustainability (WeatherNext), mathematics and computer science (AlphaGeometry, AlphaProof), physics and chemistry (GNoME, Fusion, AlphaQubit), and AI transparency (SynthID). Key products and research areas include the Gemini family of models (2.5 Pro, Flash, Flash-Lite), Gemma open models, and generative models like Imagen, Lyria, and Veo. DeepMind's mission is to 'solve intelligence' and develop artificial general intelligence (AGI) to address fundamental scientific challenges. They emphasize responsible AI development, collaboration, and education.
Founded: 2010
Acquired by: Google / Alphabet (2014)
Core focus: AI research and development across biology, climate, mathematics, physics, and model families
Headcount (reported): 6363
Advanced artificial intelligence research and development aimed at long-term scientific challenges and safe AGI.
2010
Artificial intelligence / AI research
Approximately $50M
Raised external funding prior to acquisition by Google in January 2014
Acquired for more than $500M (reported)
Integrated into Google/Alphabet following acquisition
Snapshot
Multimodal generation is one the key capabilities of Google DeepMind’s generative AI models. Several of these technologies, including Veo (video), Imagen (image), and Lyria (music) have made groundbreaking impact in the world of generative modelling, contributing to numerous products and features at the intersection of creativity, entertainment and multimedia communication. As a Launch TPgM in the Multimodal Generation team, you will be at the heart of these developments, driving the complex release processes and working with cross-functional partners to ensure smooth and rapid delivery of models.
About Us 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.
The role
As a Technical Program Manager for Multimodal Generation Launches, you will be responsible for release planning and coordination of models, managing launch roadmaps and timelines in partnership with Product Managers, handover of models to cross-functional partners, internal governance documentation and coordinating external-facing content for marketing. This role requires a strong technical background in AI, excellent program management skills, and the ability to navigate the challenges of large-scale research and engineering efforts. You will work closely with research scientists, engineers, product managers, program managers and other cross-functional teams to solve problems around delivering and deploying massive models. Your work will be instrumental in powering future advancements in multimodal generative modelling.
Key responsibilities
About You 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:
The US base salary range for this full-time position is $183,000 USD - 271,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: 12pm PT, Friday August 22, 2025
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