Minimum qualifications:
- Bachelor's degree in a technical field or equivalent practical experience.
- 8 years of technical program management experience, managing cross-functional or cross-team projects.
- Experience with the AI model development lifecycle, including pre-training, post-training, and infrastructure constraints, in agentic development.
Preferred qualifications:
- Excellent leadership, communication, and collaboration skills.
- Excellent thought leadership, and relationship building and management skills, with internal stakeholders and external partners.
About the job
As a Technical Program Manager for Agents Innovation at Google DeepMind, you will bring the execution excellence to de-risk research bets and bring the latest Incubations to our users. You will drive the technical execution of programs that turn breakthrough agentic capabilities into production-ready models that power Gemini and Google products.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
US: $256000 - $279000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead complex engineering and research workstreams focused on core agentic capabilities development.
- Drive development and convergence of outlook, planning, prioritization, and execution to deliver capabilities.
- Manage the lifecycle of agentic innovations from early research bets to incubation and upstreaming into the Gemini models.
- Build resilient pathways between DeepMind technical experts and partner product teams, ensuring a "multi-way win" where a single agentic advancement to unlock value across multiple Google surfaces.
