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: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Optimize post-training initiatives (Supervised Fine-Tuning (SFT), Reinforcement Learning (RL), data, evaluations) into clear goals, milestones, and Gemini model release plans with research and engineering teams.
Manage end-to-end project delivery, improving velocity through lightweight methodologies while resolving technical and operational challenges across data and model workflows.
Align cross-functional dependencies across data pipelines, evaluation platforms, compute resources, and external partners to ensure timely Gemini releases.
Track progress, evaluate technical proposals, anticipate execution risks, and propose viable solutions to overcome blockers.
Translate complex technical progress into decision-ready updates for leadership, demonstrating a commitment to understanding LLMs and AGI research.
Minimum qualifications
Bachelor's degree in a technical field or equivalent practical experience.
5 years of experience in program management.
Preferred qualifications
8 years of program management experience, driving end-to-end delivery closely with research and engineering teams.
Familiarity with the LLM post-training lifecycle, including training data pipelines, SFT, RL, and model evaluation.
Knowledge of software and ML development lifecycles, and experience partnering closely with product management.
Skill in navigating ambiguity, adapting plans to changing research conditions, and influencing outcomes without direct authority.
Bachelor's degree in a technical field or equivalent practical experience.
5 years of experience in program management.
