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Snapshot
The role of the Technical 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.
Our program management skills help us tackle even the most complicated projects. By working hand-in-hand with researchers and engineers, we're constantly deepening our technical skills and making sure our work is always moving us closer to 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.
The role
As a Technical Program Manager working on novel model architectures, 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 Responsibilities:
- 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
- Scope and drive complex and ambitious technical programs cutting across multiple teams
- 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
- Be the trusted owner of the status of your projects, 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 comfortable in highly technical spaces, thrive in collaborative environments, bridging the gap between researchers, engineers and stakeholders, ensuring everyone is working towards a shared vision.
- 5 years of experience in project/program management, ideally in ML/AI environment
- Comfortable 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 and drive process improvements.
- Have the ability to quickly grasp technical concepts, contribute to relevant discussions, and translate them into actionable program strategies
- Strong understanding of ML/AI principles and concepts, and passionate to continuously acquire knowledge to enhance your domain understanding
In addition, the following would be an advantage:
- BS degree in Computer Science, Engineering, or related technical field
- Knowledge of Research Lifecycle
- Experience working across multiple geographies and time zones
