Senior Staff Tech Lead, Agentic Video Editing at YouTube

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

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google LLC is seeking a Senior Staff Tech Lead for YouTube Agentic Video Editing and Generation in Mountain View, CA. The role focuses on directing high-impact GenAI-based video editing and generation initiatives, partnering with PM/UX and DeepMind researchers to scale production-ready agentic capabilities.

The candidate will lead architectural decisions, productionization, and cross-team collaboration to deliver state-of-the-art video generation models and agentic workflows at scale.

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 and navigate organizational complexities across YouTube/GDM partnerships.
• Drive product vision and cross-organizational technical strategy with PM and UX to deliver creator capabilities.
• Mentor fellow TLs and senior ICs to succeed.

Skills

Software development

Applied ML

Video generation

Agentic systems

Leadership

Education

Bachelor's degree or equivalent practical experience

Job description

Google LLC is seeking a Senior Staff Tech Lead for YouTube Agentic Video Editing and Generation in Mountain View, CA. The role focuses on directing high-impact GenAI-based video editing and generation initiatives, partnering with PM/UX and DeepMind researchers to scale production-ready agentic capabilities.

The candidate will lead architectural decisions, productionization, and cross-team collaboration to deliver state-of-the-art video generation models and agentic workflows at scale.