Technical Program Manager, GenAI

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. Collaborating across org boundaries & roles to pull in the right expertise at the right time. This allows us to provide a holistic view of what’s happening across GDM to identify early signals, insights, and risks with recommended actions. 

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 in GenAI, you’ll be part of the team that ensures that work on our generative AI models is well-coordinated and progresses at pace. In this role, you will be driving programs to supercharge Gemini’s reasoning abilities.  You’ll play a key role in working with technical leadership to set goals, breaking the goals down into deliverables, designing systems to track progress and risks, coordinating with partner teams, ensuring information is flowing between the parts of the program, and driving continuous improvement. You’ll be collaborating with researchers, engineers, technical program managers and product managers. 

Key responsibilities

• 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 frontier model capabilities to advance the state-of-the-art research in Gemini models.
• 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 on AI research to drive program success.
• Partner with multiple senior stakeholders across the organization, adapting your approach accordingly. Build, maintain and grow relationships with key stakeholders across the program.
• 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.
• Ensure information is flowing through your programs, keeping leads, team members and partners up to date.

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:

• Technical degree or advanced working knowledge. Industry experience to partner on technical strategy, 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 language models and software engineering, and have strong communication skills with the ability to distill sophisticated technical ideas to broad audiences including leadership.
• Ability to quickly learn new technical domains, gaining sufficient working knowledge to understand the challenges and risks while balancing perspective and holding a broader view of trade-offs and opportunities.
• 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 hig