Senior Technical Program Manager, Personal Intelligence Modeling

Snapshot  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.

The Role

As a Technical Program Manager focused on Gemini’s personalization efforts, you'll play a key role in leading, organizing, and coordinating efforts to drive improvements to our cutting-edge model capabilities.

Key Responsibilities

Independently scope, plan, and deliver technical programs for model development, driving teams towards best-practices on delivering research to production. Enable cross-functional teams working on personal intelligence capabilities to advance the state-of-the-art research in this domain. Proactively identify and manage risks, dependencies, and changing circumstances, implementing timely solutions.

Apply technical knowledge to identify and execute pragmatic solutions, particularly as they help us unblock novel modeling techniques. Apply expertise in program management methodologies, tools, and relevant industry knowledge to drive program success. Partner closely with research, engineering, and product teams to ensure seamless delivery of models and relevant evaluation results.

Deploy technical judgement to steer and address critical needs for teams experimenting with and deploying novel research techniques.

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 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 models 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 in highly dynamic, fast-paced environments. Passionate about AGI, and are proactive about learning and acquiring knowledge to enhance your domain knowledge across evolving areas.

Knowledge and understanding of state-of-the-art model development and eval techniques   The US base salary range for this full-time position is between $183,000 USD - 271,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 23 February 2026 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.

Founded in the UK in 2010 and acquired by google in 2014, Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. An team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.

They use their technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and...