Product Manager II, YouTube Shorts Agentic Video Editing
Description
At YouTube, we believe everyone deserves to have a voice. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture to empower creators worldwide.
In this role, you will collaborate closely with creative engineers, designers, and Google DeepMind researchers to lower the barriers to video creation. You will take complex, ambiguous AI capabilities and translate them into intuitive, real-world tools that solve creator friction, unlocking entirely new forms of storytelling on YouTube Shorts.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
- Own and analyze evaluations to measure AI agentic editing performance, assess output quality, and guide rapid product iteration.
- Translate video editing workflows, storytelling pacing, and short-form creator industry trends into clear success metrics and benchmarks.
- Bridge classic video creation tools with AI workflows to solve creator friction.
- Partner with Engineering, Research, and Product teams to turn evaluation insights into intuitive user experiences.
- Refine AI model harnesses and pipelines to test, debug, and improve end-to-end editing behaviors in a fast-paced environment.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or related technical role.
- 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
- Experience utilizing AI productivity tools to streamline individual, business, or development workflows.
Preferred qualifications:
- 3 years of experience in a role preparing and delivering technical presentations to senior leadership.
- Experience designing, running, and interpreting AI/ML evaluations, quality rubrics, or human-in-the-loop benchmarking for generative media or agentic systems.
- Experience working with AI model harnesses, prompt engineering, or agentic orchestration frameworks.
- Understanding of video editing tools (e.g., Premiere, CapCut, Final Cut), short-form storytelling mechanics, and the broader creator economy.
- Ability to rapidly adopt emerging AI tools and workflows, translating subjective creative quality into structured, actionable feedback for Engineering and Research teams.
