Product Manager II, YouTube GenAI Responsibility

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or a related technical role.
• Experience building and launching products utilizing machine learning, Large Language Models (LLMs), or generative AI technologies.
• Experience in product management, specifically delivering consumer-facing software products from concept to launch.
• Experience leading cross-functional teams including Engineering, UX, Policy, and Legal to launch features.

Preferred qualifications:

• Experience designing and scaling evaluation frameworks for LLMs (e.g., human-in-the-loop annotation, LLM-as-a-judge, red-teaming).
• Experience working in Trust and Safety, AI safety, content moderation, or information quality products.
• Familiarity with prompt engineering, AI safety guardrails, or conversational AI interfaces (e.g., search, assistants).
• Ability to influence technical roadmaps with Engineering and Research partners, and communicate complex risk-mitigation plans to executive leadership.
• Excellent collaboration skills to navigate high-stakes policy, regulatory, and public relations requirements globally.
• Excellent investigative skills with experience in A/B testing, experimentation, and defining metrics for ambiguous product areas.

Responsibilities

• Define and drive the end-to-end responsibility strategy and roadmap for conversational GenAI products on sensitive topics.
• Develop scalable evaluation frameworks to measure and monitor GenAI response quality on sensitive topics globally.
• Partner with GenAI Engineering and Research to develop, test, and launch safety guardrails, prompt engineering guidelines, and response-filtering models.
• Collaborate closely with Trust and Safety, Policy, Legal, and PR to ensure GenAI responses align with YouTube’s global platform policies and rapidly evolving regional regulations.
• Present your goals, strategy, and risk mitigation plans regularly to executive leadership, driving alignment and buy-in on high-stakes product decisions.