Post-Training Technical Program Manager, GenAI, DeepMind
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Minimum qualifications:
- Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
- 5 years of experience leading engineering projects.
Preferred qualifications:
- Experience navigating global execution, successfully driving alignment and delivery across multiple geographies and time zones.
- Strong technical acumen, with the ability to quickly learn and deeply understand program architecture from interfaces to infrastructure and serving to actively drive technical discussions.
- Excellent skills in managing complex stakeholder relationships across research, engineering, and product teams.
About the job
A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google 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.
Responsibilities
- Lead complex, cross-functional programs, balancing immediate deliverables with long-term strategic goals.
- Own project status updates by proactively mitigating risks and tracking dependencies to maintain clear stakeholder visibility.
- Forge strong stakeholder relationships to align teams and influence outcomes without direct authority.
- Translate complex AI modeling concepts into actionable, strategic program plans.
- Stay highly organized, continuously improving processes and streamlining execution for maximum efficiency.
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