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.
Organize and optimize post-training initiatives (Supervised Fine-Tuning (SFT), Reinforcement Learning (RL), data, and evaluations) into clear goals, milestones, and release plans with research and engineering teams.
Manage end-to-end project planning and cross-functional dependencies across data pipelines, evaluation platforms, compute, and external partners to align with Gemini model releases.
Track progress, maintain program documentation, and proactively resolve technical and operational blockers across data and model development workflows.
Evaluate technical proposals, understanding trade-offs, and translate complex modeling progress into clear, decision-ready updates for leadership and cross-functional audiences.
Apply lightweight program methodologies to improve velocity and predictability while fostering a deep understanding of post-training, LLMs, and AGI research.
Minimum qualifications
Bachelor's degree in Computer Science or a related technical field or equivalent practical experience.
5 years of experience in program management.
Preferred qualifications
8 years of program management experience, delivering end-to-end projects closely with research and engineering teams.
Familiarity with the LLM post-training lifecycle, including training data pipelines, SFT, RL, and model evaluation.
Proven skill navigating ambiguity and adapting strategies as research and project conditions change.
Strong communication and stakeholder management skills to influence outcomes and align technical and product teams.
Bachelor's degree in Computer Science or a related technical field or equivalent practical experience.
5 years of experience in program management.
