About this role
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $217000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google (https://www.google.com/about/careers/applications/benefits/).
Minimum qualifications:
- Bachelor's degree in a technical field or equivalent practical experience.
- 5 years of experience in program management leading cross-functional projects/programs.
- Experience with Generative AI.
Preferred qualifications:
- Experience developing, launching products, or technologies with Large Language Models (LLMs).
- Experience with projects related to media technology or interactive entertainment.
- Experience working with multimodal generative models or multimodal datasets.
- Familiarity with computing platforms (e.g., Google Cloud Platform).
- Lead complex and ambiguous programs focusing on execution and delivery. Partner with research and engineering leads to translate strategic goals into well-defined program plans, timelines, and success metrics.
- Drive the end-to-end execution of large-scale initiatives, including deployment planning and coordination, infrastructure readiness, safety testing, and model evaluation processes.
- Act as a key liaison between the Generative Media team and other critical DeepMind projects, including teams working on Gemini, AI Platform, Trust and Safety, Marketing and Communications, Legal and more.
- Develop and implement efficient processes and systems to manage deployment and launches at scale. Identify opportunities for automation and tooling to improve research and engineering velocity.
- Build strong relationships and provide clear, consistent communication to stakeholders across research, engineering, and leadership.