Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 5 years of experience in technical program management, software engineering, or data-driven operations.

Preferred qualifications:

• Proficiency in scripting (e.g., Python, Apps Script) and data analysis (SQL) to eliminate manual reporting tasks and build automated data pipelines.
• Technical proficiency with AI tools, specifically the Gemini suite of products.
• Deep understanding of the DeepMind mission, a passion for safe and beneficial AI, and the nuances of scientific research communication.
• Demonstrated ability to navigate highly ambiguous, fast-paced environments, favoring pragmatism over perfection to deliver sustainable, scalable solutions.
• Superb relationship-building and diplomatic skills, with a track record of successfully influencing outcomes across an international organization (spanning European and American time zones).

About the job

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.

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.

Responsibilities

• Design, scale, and maintain our central operational infrastructure, utilizing APIs, scripting, and custom integration touchpoints to link internal systems into a flawless single source of truth.
• Partner with internal engineering teams to pilot, build, and deploy generative AI tools for internal knowledge management and automated briefing generation.
• Optimize ways of working by designing and enforcing team-wide tools, automated workflows, and governance models that bring simplicity to complex ideas and processes.
• Translate evolving organizational objectives into an actionable, prioritized portfolio of initiatives, establishing mechanisms to track performance, manage risk, and anchor teams back to core goals.
• Act as a trusted advisor to Marcomms and DM leadership, providing operational insights, communicating technical risks, proposing pragmatic solutions, and managing program budgets.