Google

Technical Program Manager, Organization Engineering and Innovation, DeepMind

place London, UK

Found: Today

Technical Program Manager, Organization Engineering and Innovation, DeepMind

Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 5 years of experience in technical program management, product management, or related technical roles.

Preferred qualifications:

  • Proven experience leading complex, large-scale, cross-functional technical projects across organizations and in navigating databases, evaluating data models, writing SQL queries, and migrating systems.
  • Experience collaborating with Designers, Researchers, Engineers, and Product Managers.
  • Familiarity with Google or DeepMind processes, infrastructure, and teams.
  • Excellent communication, collaboration, and influence skills; able to deliver and make trade-offs under deadlines.
  • Passion for AI Large Language Models (LLMs) and their real-world applications, and experience developing AI-based prototypes and solutions that accelerate product development and delivery.

Responsibilities

  • Scope, shape, and lead complex ambiguous programs, performing technical due diligence to evaluate engineering scope, setup milestones, and assess infrastructure needs while managing risks throughout the lifecycle.
  • Drive program landing and user adoption by collaborating with partner and engineering teams on rollouts, transitions, and end-to-end GTM strategy. Actively identify and implement approaches to accelerate the overall program delivery.
  • Prototype concepts using design and AI tools to gather user feedback. Validate user needs through research to inform strategy.
  • Utilize AI/ML solutions to automate processes, streamline cross-functional workflows, and accelerate program execution at scale, balancing business needs with speed.
  • Partner with cross-functional stakeholders to align goals and timelines, influencing decision-making without direct authority to ensure seamless delivery.

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