Senior Tech Lead, GenAI Video Editing & Agentic Systems

Google Inc.; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Equity grants

Job summary

Google is seeking a Senior Staff Tech Lead for YouTube Agentic Video Editing and Generation to own outcomes and drive strategic technical initiatives. You will lead high-impact projects, architect production deployments, and collaborate with PM/UX and DeepMind to scale agentic video capabilities.

The role requires deep ML/system expertise, ability to navigate complex org structures, and mentorship of senior engineers in a fast-paced environment.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 2 years of experience with applied ML and GenAI/agentic systems.
• Experience in building, productionizing, and scaling machine learning systems—specifically Video Generation models, agentic systems, agent benchmarking, agent AutoRaters, or LLM/agent training pipelines.

Responsibilities

• Directly lead the technical execution of high-priority projects.
• Architect and lead the production landing of the joint YouTube + GDM agentic video editing and video generation models.
• Offer technical guidance, navigate organizational complexities across YouTube/GDM partnerships and various YouTube product teams, and empower fellow TLs and senior ICs to succeed.
• Drive product vision and cross-organizational technical strategy by partnering with PM and UX to deliver high-impact creator capabilities, while leading the technical partnership with GDM to deploy state-of-the-art video generation and agentic editing workflows across YouTube.

Education

Bachelor's degree or equivalent practical experience

Job description

Google is seeking a Senior Staff Tech Lead for YouTube Agentic Video Editing and Generation to own outcomes and drive strategic technical initiatives. You will lead high-impact projects, architect production deployments, and collaborate with PM/UX and DeepMind to scale agentic video capabilities.

The role requires deep ML/system expertise, ability to navigate complex org structures, and mentorship of senior engineers in a fast-paced environment.