Key skills
AIGenerative AIProduct Management
About this role
We are looking for entrepreneurial spirits to join our Monetization Product Management team. You will have a ground floor opportunity to shape monetization efforts for TikTok. In this role, you will partner with cross-functional leaders to assess performance and plan for the future.
The Monetization team organization provides business is focused on aligning the highest-level company priorities with effective day-to-day operations, and help evolve early-stage ideas into future-growth initiatives.
We are seeking a highly motivated and experienced Product Manager to lead the development and implementation of AI Safety Solutions for our cutting-edge Generative AI features.
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.
The Monetization team organization provides business is focused on aligning the highest-level company priorities with effective day-to-day operations, and help evolve early-stage ideas into future-growth initiatives.
We are seeking a highly motivated and experienced Product Manager to lead the development and implementation of AI Safety Solutions for our cutting-edge Generative AI features.
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.