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Technical Program Manager, Gemma, DeepMind
You will lead Gemma’s technical projects, from project plans through pre-training and post-training runs. You will coordinate research, engineering, product, and infrastructure teams, and manage compute resources, risks, and project tracking. The role requires at least 8 years of experience in technical program or project management in a software or AI environment, as well as a bachelor's degree or equivalent practical experience.
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The full description published by Google.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in technical program or project management in a software or AI environment, including experience with program delivery. Preferred qualifications:
- Experience with managing large-scale compute resources.
- Strong technical background, with foundational AI knowledge and direct experience in model development.
- Strong ability to take ownership and operate proactively in fast-paced, ambiguous environments, keeping teams focused and organized amidst evolving priorities.
- Passionate about AGI, the open weight model community, and deeply curious about emerging technologies. Actively explore and utilize the latest AI tools, agents, and assistants to optimize your daily workflows and enhance productivity. 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.
- Anticipate potential risks that could impact project timelines or success. Move quickly to unblock research and engineering teams to maintain velocity.
- Drive organizational efficiency by improving processes, streamlining execution, and implementing automated tooling where applicable. Actively manage compute resources including forecasting, timely reallocations, and making prioritization recommendations to Gemma leads.
- Work closely with research scientists, engineers, product managers, and infrastructure teams to ensure alignment on priorities and dependencies.
- Facilitate clear communication across these teams.
- Provide regular updates to stakeholders on progress, highlighting key milestones and risks.
- Maintain comprehensive documentation for processes, plans, and project status.
- Contribute to the successful execution of Gemma pre-training and post-training runs. This includes developing detailed project plans and technical roadmaps.
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