Technical Program Manager

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Zürich
In-Office
Artificial Intelligence
The Role

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. 

AI Studio is a distributed team across several location and has established itself as the platform to provide GDM models to external developers. We are looking for an efficient and energetic TPM to drive Zurich based projects in collaboration with TPM across the other locations.

The role

  • As a Technical Program Manager in AI Studio, you will apply program management methodologies to multiple initiatives, balancing progress and risk to deliver sustainable change to meet objectives.
  • You will work with product managers, engineers, and stakeholders to define project scope, goals, timelines, and resource requirements.
  • You will work with the Zurich engineering 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
  • Integrate with the rest of the AIS TPM team to ensure coverage across AIS as a team (mix of projects and launch support)
  • Work with the Zurich team to organise and optimise deliveries into clear goals and objectives
  • Work effectively across international teams and various stakeholders.
  • 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
  • Iterate with the rest of the TPM group on process and drive the improvement of some of them
  • Drive some model launches on an ad-hoc basis and improve the process based on what you learn driving the process
  • 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 able to prioritise your work aggressively, focusing on specific problems at a time and go deep while maintaining good relationship with other stakeholders
  • 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 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
  • Possess a strong technical understanding (Developer ecosystem, API, SDK, open sourcing)
  • You are comfortable in a fast-paced, ambiguous environment, taking ownership and driving projects independently.
  • 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 stakeholders.
  • 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 Software Development Lifecycles
  • Product Management experience (direct or partnering closely).

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.

Opening date: 24th June 2025

Closing date: 8th July 2025














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The Company
1,218 Employees
Year Founded: 2010

What We Do

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.

Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).

Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.

We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.

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