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 is a high-impact opportunity for an exceptional Senior Program Manager to support the VP of Safety and Alignment at DeepMind. This role involves close collaboration with a geographically dispersed, virtual team spanning Mountain View, New York, London, and Zurich, all focused on the shared mission of developing, deploying, and researching safe AGI. The role requires a high tolerance for ambiguity inherent in cutting-edge AI research and operates at a fast pace.
As a Senior Program Manager, you will bridge high-level strategy with operational execution to ensure the organization runs efficiently. You will own core day-to-day operations and lead the annual and biannual planning processes while distilling and disseminating critical priorities for the VP of Safety and Alignment. Success requires a highly organized leader capable of managing complex stakeholder relationships and connecting cross-functional teams to drive impactful outcomes.
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.
The US base salary range for this full-time position is $252,000-$274,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- 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.
Qualifications
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.