Google DeepMind · 3 hours ago
Technical Program Manager, Frontier AI Research
Google DeepMind is a team of scientists and engineers focused on advancing artificial intelligence for public benefit and scientific discovery. As a Technical Program Manager in the Frontier AI Research team, you will drive the operational and technical success of ambitious AI initiatives, translating complex scientific goals into actionable roadmaps and ensuring research breakthroughs are effectively implemented in global-scale products.
Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning
Responsibilities
Program Strategy and Execution: Partner with AI Research leads to co-develop long-term strategies, technical goals, and success metrics for initiatives pushing the frontier of generative AI
Technical Due Diligence: Evaluate engineering scope, establish milestones, and influence technical direction
Cross-Functional Leadership: Build and guide effective cross functional partnerships across diverse disciplines, including modeling, infrastructure, and evaluation, to ensure alignment on shared objectives
Operational Excellence: Establish robust mechanisms to monitor program performance, anticipate technical risks, and manage complex interdependencies between research workstreams
Continuous Innovation: Proactively identify and implement opportunities to enhance research velocity and engineering excellence through optimized tools and methodologies
Stakeholder Management: Distill complex technical updates and research progress into clear, actionable insights for diverse audiences and executive leadership
Resource Optimization: Drive strategic planning for mission-critical resources, including compute management and allocation, to respond to a rapidly changing competitive landscape
Qualification
Required
Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience
5+ years of experience in Technical Program Management or a related role within an advanced technical or research environment
Proven experience partnering directly with research or engineering leads to deliver on high-impact, technically complex projects
Comprehensive technical knowledge and understanding of program management methodologies adapted for research-centric environments
Preferred
Master's or PhD degree in a technical field, particularly related to AI/machine learning
Direct experience in AI/ML research or development, with a focus on multimodal models or decentralized information systems
Strong analytical and problem-solving skills, with a demonstrated ability to understand complex technical systems and identify opportunities for optimization
Passion for the future of AI and the ability to thrive in a dynamic, fast-paced environment where technology meets real-world impact
Company
Google DeepMind
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.
Funding
Current Stage
Late StageTotal Funding
unknown2014-01-26Acquired
2011-02-01Series A
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