
Google DeepMind is seeking a visionary Technical Program Manager to serve as the strategic catalyst for our most ambitious research initiatives. As a master of the TPM craft, you possess the rare ability to translate complex technical research and engineering efforts into detailed execution plans and rigorously drive them to completion. You bring an advanced command of program management methodologies and technical processes, proactively leveraging AI-driven workflows to accelerate research velocity and scale your impact. You blend creative, high level problem solving with the deep technical due diligence required to shape architecture and build credibility with world class scientists. By co-developing strategies and scalable roadmaps, you lead through influence, transforming immense technical ambiguity into a mission that people want to follow and results that deliver global scientific impact.
About Us
At Google DeepMind, we believe AI is a transformative force for humanity. Our multidisciplinary team of scientists, engineers, and ethicists is dedicated to advancing the frontier of machine learning through rigorous discovery and responsible innovation. We tackle the world's most complex challenges, prioritizing safety and ethics as we pioneer technologies that drive scientific progress and deliver widespread public benefit.
As a TPM in Frontier Research, you will navigate immense technical complexity and manage critical cross-functional dependencies at the leading edge of AI. You will apply deep technical expertise to perform engineering due diligence, influence high-level architecture, and accelerate the delivery of research. This role demands an exceptional ability to provide clarity within ambiguous environments and implement creative solutions for driving highly technical programs in a fast-paced, competitive scientific landscape.
You will drive real impact across Frontier AI domains, navigating the full model lifecycle. Technical knowledge in high efficiency on device architectures, multimodal understanding, V&V of AI systems, or RAG is beneficial but not required.
The US base salary range for this full-time position is between $163,000 - $237,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy
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.

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.