Senior Product Manager - Generative AI Safety - Bay Area

We are seeking a highly motivated and experienced Product Manager to lead the development and implementation of Trust and Safety and Responsible AI solutions for our cutting-edge Generative AI features. Our mission is to ensure our platform remains a safe and positive environment for all users as we rapidly innovate with new AI technologies. This role will be critical in shaping the future of AI safety, focusing on mitigating risks associated with generative AI across text, image, and video modalities.

The Trust and Safety Genenerative AI role will be part of the the TikTok Ads Creative & Ecosystem team which develops world-leading tech solutions for ads creative production, interpretation and optimization, to empower and inspire advertisers, creators, and other 3rd parties in the ecosystem to create and deliver the best engaging creative experiences to the end users.

This team is responsible for defining the vision, roadmap, and building the products for Symphony, TikTok's suite of AI-powered creative tools. A key product within Symphony is Creative Studio, a video generation tool that can produce a TikTok video in minutes from minimal inputs, supporting advertisers and content creators with free capabilities to make the creative production process easier and more efficient. The team will continue to expand Symphony with new AI-driven products and features that revolutionize the way creators and brands ideate and develop content on TikTok.

Responsibilities:
- Product Sense and Strategy: Demonstrate a strong product sense, understanding user needs and market trends related to generative AI. Be able to contribute to the development of product strategy and roadmap, balancing innovation with Trust & Safety considerations.
- Deep Understanding of Generative AI: Possess a strong understanding of the capabilities and limitations of various generative AI models (e.g., text, image, audio, video).
- Expertise in Trust & Safety Principles: Demonstrate a solid grasp of core Trust & Safety principles, including content moderation, platform integrity, user safety, and privacy.
- Bias Detection and Mitigation: Have a strong understanding of bias in AI systems, particularly within generative models. Be proficient in identifying, analyzing, and mitigating various types of bias (e.g., demographic, representation, algorithmic).
- Content Moderation Expertise: Be knowledgeable about content moderation strategies and best practices, specifically as they relate to AI-generated content. This includes understanding the challenges of identifying and addressing harmful or misleading content created by generative models.
- Risk Assessment and Mitigation: Be able to conduct thorough risk assessments of generative AI products and features, identifying potential harms and developing effective mitigation strategies.
- Analytical and Problem-Solving Skills: Possess strong analytical and problem-solving skills to identify and address complex Trust & Safety challenges related to generative AI. Be able to analyze data, identify trends, and develop data-driven solutions.
- Metrics and Measurement: Define and track key metrics to measure the effectiveness of Trust & Safety efforts related to generative AI. Use data to identify areas for improvement and inform product decisions.
- Prioritization and Execution: Be able to prioritize competing demands and effectively execute on Trust & Safety initiatives within a fast-paced product development environment. This includes defining clear goals, tracking progress, and managing stakeholders.
- Staying Up-to-Date: Keep abreast of the latest advancements in generative AI research, as well as emerging Trust & Safety challenges and best practices. The field is rapidly evolving, so continuous learning is essential.Minimum Qualifications:
- Bachelor's degree or equivalent practical experience.
- Experience with Trust and Safety and AI/ML fairness.
- 5+ years of experience in product management taking technical consumer products from conception to launch.
- Strong technical background with experience working across AI/ML and engineering teams to design and build trust and safety detection systems.
- Deep understanding of user behavior, trust and safety concerns, and effective solutions.

Preferred Qualifications:
- Master’s degree in Computer Science, Engineering, Business, or a related field
- Proficient in Mandarin to allow for cross-functional collaboration on a global scale
- Located in San Francisco, San Jose, Seattle, or Los Angeles
- Deep understanding of the advertising landscape and the needs of advertisers, including experience with ad creative development and ad optimization.