Senior Technical Program Manager, AI Safety
Google DeepMind
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Job Description
Senior Technical Program Manager, AI Safety at Google DeepMind
This role is on the Post-Training & Alignment Technical Program Management (TPgM) team. We drive the operational design and execution for the post-training area, enabling teams to make rapid progress on our mission. As the Lead Technical Program Manager for AI Safety, you will be the core orchestrator ensuring that our Gemini models are safe. This lead TPM role is situated within the Post-Training & Alignment TPgM team, involves driving the operational strategy and execution of all safety initiatives from coordinating model training and evaluation infrastructure to managing a broad portfolio of cutting-edge AGI Safety & Alignment research.
About Google DeepMind
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
The Role of a Senior Technical Program Manager, AI Safety
This is a high-impact opportunity for an exceptional Senior Technical Program Manager, AI Safety to cover a critical area of AI Safety. 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. The role requires a highly organized individual who excels at managing complex stakeholder relationships and connecting teams across Google DeepMind to drive successful outcomes.
Key Responsibilities
- Drive the end-to-end delivery of SFT and RL training data for AI Safety, creating and maintaining the structure (meetings, project plans) needed for on-time delivery.
- Dive deep into technical details, including understanding losses and evaluations for Safety to ensure they accurately measure the problems we are trying to solve and develop solutions.
- Manage a portfolio of work from model development to long term research in AGI Safety & Alignment.
- Drive organizational efficiency by improving processes, streamlining execution, and implementing tooling improvements where applicable.
- Proactively identify and drill down into blockers, moving quickly to unblock the research and engineering teams.
- Coordinate across diverse groups within Gemini, including Release teams, Model Behavior, Multi-turn research and ensuring all stakeholders are aligned on plans and timelines.
- Manage high-visibility executive reviews, ensuring they are well-prepared, run smoothly, and provide clear visibility into program status.
- Build consensus and influence outcomes across diverse teams and key stakeholders, ensuring strong alignment without relying on direct authority.
- Manage a team of Technical Program Managers working in AI Safety.
What We Look For
- 8+ years of leading large-scale complex programs, preferably across multiple geographies and time zones.
- Possess excellent communication skills to articulate complex technical concepts clearly to diverse audiences, including executive leadership.
- Demonstrated success in fast-paced program execution and deliveries.
- Good understanding of large language models, with knowledge of multi-turn conversations or model behaviour and other alignment related topics in machine learning.
- Demonstrated management experience.
- Must be fluent in English and flexible to work cross-timezone.
Preferred Qualifications
- Degree in Computer Science, Engineering or equivalent professional experience.
- Strong understanding of ML/AI principles and the distinctions from traditional software development.
Key skills/competency
- AI Safety
- Technical Program Management
- Large Language Models
- Stakeholder Management
- Operational Strategy
- AGI Alignment
- Cross-functional Leadership
- Process Improvement
- Executive Communication
- Team Leadership
How to Get Hired at Google DeepMind
- Research Google DeepMind's culture: Study their mission, values, AI ethics, and recent breakthroughs on their website and Google's careers page.
- Tailor your resume: Highlight program management of large-scale, complex AI/ML safety programs and cross-functional team leadership experience.
- Showcase AI/ML safety expertise: Emphasize your understanding of large language models, alignment, and post-training evaluation in your application materials.
- Prepare for technical and behavioral interviews: Practice discussing program execution, stakeholder management, and problem-solving in ambiguous AI research environments.
- Demonstrate leadership and influence: Be ready to provide examples of driving consensus and achieving results in distributed, high-stakes technical projects at Google DeepMind.
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