Technical Program Manager, AI Agents Innovation

Google; Mountain View (CA); On-site; USD 256,000 - 278,000; Full time

Job summary

Google DeepMind is seeking a Technical Program Manager for Agents Innovation to drive execution excellence, de-risk research bets, and bring incubation-stage capabilities to production-ready Gemini models. You will coordinate across DeepMind and partner product teams, ensuring multi-way value across Google surfaces while maintaining a focus on safety and ethics.

The role emphasizes leading complex engineering efforts, planning, prioritization, and end-to-end lifecycle management of agentic

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.

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.

Skills

Bachelor's degree

8 years TPM experience

AI model development lifecycle

cross-functional collaboration

leadership & communication

Education

Bachelor's degree in a technical field

Job description

Google DeepMind is seeking a Technical Program Manager for Agents Innovation to drive execution excellence, de-risk research bets, and bring incubation-stage capabilities to production-ready Gemini models. You will coordinate across DeepMind and partner product teams, ensuring multi-way value across Google surfaces while maintaining a focus on safety and ethics.

The role emphasizes leading complex engineering efforts, planning, prioritization, and end-to-end lifecycle management of agentic