At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

The role of the Program Management Team is to shape and accelerate the delivery of GDM’s highest priorities. We do this through translating strategy into program plans, implementing efficient ways of working, and developing successful  teams to drive end to end delivery of our GDM objectives. We provide focus for our teams through co-developing goals and priorities, continually anchoring teams back to these. We continually pursue sustainable ways to optimize our work, striving to ensure we cultivate an environment where people can be both highly collaborative and deeply creative, making responsible and groundbreaking technical progress at pace. We build positive relationships with teams, bringing clarity to ambiguity and providing stability during change.In addition, our program management expertise structures complex projects, and we continuously deepen our technical knowledge, working alongside researchers and engineers to ensure all our work is advancing towards our mission!About Us 

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.

As a Technical Program Manager focused on Gemini Safety, you'll be essential to ensuring Google DeepMind's generative AI technologies are developed and deployed safely and responsibly.

Key responsibilities:

• Independently scope, plan, and deliver technical programs for AI safety working to ensure models are built safely and responsibly.
• Enable cross-functional teams working on AI Safety model development
• Proactively identify and manage risks, dependencies, and changing circumstances, implementing timely solutions.
• Apply technical knowledge to identify and execute pragmatic solutions, with a specific understanding of short and long term AI Safety risks.
• Apply expertise in program management methodologies, tools, and relevant industry knowledge on AI Safety to drive program success.
• Partner closely with research, engineering and product teams to ensure seamless delivery model evaluations and development.
• Partner with engineering, research and product teams to integrate safety considerations into the design, development, and deployment of AI systems.

In order to set you up for success as a Technical Program Manager at Google DeepMind,  we look for the following skills and experience:

• You are experienced at leading complex technical programs and have 5+ years of experience as a technical program manager, with a strong track record of successful program delivery.
• Proven ability to navigate fast-paced, ever-evolving environments, demonstrating resourcefulness and creativity in solving complex challenges and implementing scalable solutions.
• Excellent technical understanding of language models and AI safety, and have strong communication skills with the ability to distill sophisticated technical ideas to broad audiences including leadership.
• Demonstrated ability to improve processes, workflows, and governance models to enhance efficiency within development teams.
• Experience working with senior leadership, confidently communicating challenges and risks while proposing new solutions.
• Experience working with and handling adversarial images and videos.
• Passionate about multi-modal language models, AGI, AI Safety, and are proactive about learning and acquiring knowledge to enhance your domain knowledge across these evolving areas.

In addition, the following would be an advantage: 

• Degree in Computer Science, Data Science
• Knowledge and understanding of AI Safety risks