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ManagerFull-timeMachine LearningAgileGoAI
Salary Range
$86,700 - $117,300 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Program Manager to join Google DeepMind's Science and Strategic Initiatives Unit. This role involves leading and shaping complex programs across critical areas such as AI application to scientific challenges, provenance and watermarking technologies, and Computer Science research.
Key Responsibilities
- →Drive all required elements of end-to-end project planning and delivery, using project methodologies and tools
- →Create clarity and resolve ambiguity, organizing and optimizing research into clear goals and objectives
- →Apply technical understanding to inform effort strategy and drive delivery
- →Translate research outcomes into Commercial, Societal and Reputational impact
- →Drive strategic partnerships with industry leaders and external platforms
- →Facilitate conversations and opportunities for collaboration
- →Track progress, maintain information and technical documentation
- →Identify opportunities to improve ways of working, tools or processes
- →Proactively identify requirements such as technical dependencies or the need for compute
- →Coach individuals to overcome challenges and enable teams to produce pioneering work
- →Lead brainstorms and idea sharing, simplify complex problems
- →Build and maintain relationships, share constructive feedback
- →Track the success of programs against their aims and objectives
- →Demonstrate a curious mindset and commitment to learning
Requirements
- ✓Knowledge and expertise in project/program management with the ability to navigate ambiguity
- ✓Experience delivering projects with teams of different sizes
- ✓Experience in solving complex challenges and implementing scalable solutions
- ✓Strategic mindset to manage high-stakes external products and partnerships
- ✓Knowledge and experience in coaching techniques
- ✓Strong communication skills and ability to develop meaningful relationships
- ✓Experience working in fast-paced and constantly changing environments
- ✓Skilled in collaboration with diverse individuals with varying backgrounds
- ✓In addition, the following would be an advantage:
- ✓Passion about the sciences and AGI, proactive about learning
- ✓Knowledge and familiarity with Life Sciences, Chemistry, Computer Science, Maths or other STEM fields
- ✓Knowledge and familiarity with AI (particularly LLMs) and machine learning
- ✓Ability and curiosity to use AI tools practically and effectively
- ✓Recognition and awareness of AI’s responsible use, risks, and limitations
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