Technical Program Manager

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.

Snapshot 

The role of the Program Management Team is to organise and enable our research teams to be the best at what they do and to make fast-paced progress towards our mission. We continually pursue scalable and sustainable ways to optimise research, striving to ensure we cultivate an environment where people can be both highly collaborative and deeply creative, making responsible and pioneering research progress at pace. We build strong relationships with teams, bringing clarity to ambiguity and providing stability during change.

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.

The role

As a Technical Program Manager, you will apply program management methodologies to multiple initiatives, balancing progress and risk to deliver sustainable change to meet objectives.
You will work with researchers, engineers, product managers, and other stakeholders to define project scope, goals, timelines, and resource requirements.

Key Requirements:

• Work with your team on all required elements of end-to-end project planning and delivery, using your knowledge of project methodologies including tools and techniques such as stand ups, retrospectives, agile boards, project plans etc
• Work with your team to organise and optimise research into clear goals and objectives
• Effectively translate technical information to non-technical audiences, ensuring clarity and alignment
• Track progress, maintain up to date information and relevant technical documentation, anticipate and propose solutions to issues and risks
• Troubleshoot and resolve technical challenges, making sound decisions that balance feasibility and project timelines.
• Critically evaluate technical proposals, understanding the trade-offs between different approaches, and weigh in on the viability of solutions
• Demonstrate a curious mindset and a commitment to learning and understanding your team’s technical field, and your broader understanding of AGI, in order to inform how you enable people, teams and optimise research 

About you

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 passionate about AGI & proactive about learning and acquiring knowledge to enhance your domain knowledge
• You thrive in collaborative environments, bridging the gap between researchers, engineers and stakeholders, ensuring everyone is working towards a shared vision.
• Knowledge and expertise in project/program management with the skill to navigate through ambiguity and adjust and adapt plans and strategies as project conditions change    
• Strong communication skills, ability to develop meaningful relationships with key stakeholders and leverage these to influence action and outcomes, ensuring alignment between technical teams and business needs.
• You’re a natural problem-solver, readily identifying the root causes of technical challenges to implement elegant solutions.
• Possess knowledge and familiarity with technical concepts such as information theory, mathematics, technical architectures, statistics, computer science, machine learning or reinforcement learning.

In addition, the following would be an advantage:

• BS degree in Computer Science, Engineering, or related technical field
• Knowledge of Research  Lifecycle