Senior Staff Tech Lead, YouTube Agentic Video Editing and Generation

• Direct and take ownership of key GenAI creation quality and product metrics for the team, translating data-backed insights into concrete engineering goals.
• 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.
• 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.

Minimum 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.

Preferred qualifications:

• Experience architecting and evaluating industry-leading Video Editing Agents and multi-modal agent workflows.
• Proven ability to translate high-level product strategy into actionable technical roadmaps and engineering metrics.
• Proven ability to navigate cross-functional/cross-organization complexities, partner closely with PM and UX, collaborate with GDM researchers, manage senior stakeholders, and mentor high-performing engineers.
• Strong business acumen—understanding unit economics, return on computation, and the intersection of model quality with user engagement metrics.

• 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.