Senior Engineering Manager, Agentic Video Editing, YouTube

• Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. 
  
• Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching. 
  
• Develop the long-term technical goals and roadmap within, and often beyond, the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
• Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems. 
  
• Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development.
  
• 5 years of experience in a people management or team leadership role.
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision ).

Preferred qualifications:

• Experience leading engineering teams building LLM/multimodal agents, tool-augmented systems, or creative/video software.
• Experience managing joint initiatives between research organizations (e.g., DeepMind) and product/infrastructure engineering teams.
• Strong product and operational intuition, with experience establishing evaluation frameworks (AutoRaters, benchmarks, rater ops) for generative media quality.
  
• Proven success managing teams that land AI/ML research into high-scale, consumer-facing production applications.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development.
  
• 5 years of experience in a people management or team leadership role.
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision ).