Senior Operational Program Manager, AI Safety and Behavior, DeepMind

Define and execute the annual and half-yearly business, including distilling key organization priorities and driving the goal processes.Develop, forecast, and manage headcount, budgets, and operational utilization while strategically allocating resources to projects based on timelines and priorities.Analyze resource and operational data to identify trends, perform ad hoc analyses, and implement strategies that reduce waste, friction, and bureaucracy.Lead high-priority, direct technical projects for the VP of Safety and Alignment and coordinate high-visibility executive reviews.Minimum qualifications:Bachelor's degree or equivalent practical experience.8 years of experience in program or project management.8 years of experience leading programs across multiple geographies and time zones.Preferred qualifications:8 years of experience managing cross-functional or cross-team projects.Experience in business operations, which includes owning key business processes.Understanding of Large Language Models (LLMs) and Artificial General Intelligence (AGI) safety.Ability to demonstrate success in fast-paced program execution and deliveries.Excellent communication skills to articulate complex technical concepts clearly to audiences, including executive leadership.Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.This role bridges strategic priorities with day-to-day execution to keep the organization operating smoothly. You will anchor our operational rhythms, drive annual and biannual planning cycles, and translate leadership priorities into clear, actionable focus areas across the team. This is a role for someone who orchestrates well behind the scenes, managing essential operational demands so executive leadership can dedicate their time to the highest DeepMind (DM) priorities. Success requires an exceptionally organized program manager who builds trust across complex stakeholder groups and connects cross-functional partners to get things done. Working closely with executive leadership, you bring steady professionalism, high discretion, and a low-ego, service-oriented approach to enabling the team's success.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $252000 - $274000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree or equivalent practical experience.8 years of experience in program or project management.8 years of experience leading programs across multiple geographies and time zones.