Senior Product Manager - Generative AI Safety
TikTok
San Jose, CA · Posted November 13, 2026
Just laid off? Start here: a plan for the first weeks
More in California job market · Senior Product Manager jobs in San Jose, CA (32) · All Senior Product Manager jobs (1,005) · Technology & Software · Product jobs
More roles at TikTok
- Machine Learning Engineer Graduate- (TikTok Trust and Safety-CV/NLP/Multimodal LLM) - 2026 Start(PHD) · Seattle, WA
- Senior Machine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce Governance · Seattle, WA
- TikTok Shop - Category Manager, Luxury Resale · Los Angeles, CA
- Machine Learning Engineer - TikTok-Data-Search-Search Quality · San Jose, CA
- Machine Learning Engineer, Search - Local Services Team · San Jose, CA
- TikTok Shop - Head of Listing Quality - US · Seattle, WA
Similar jobs
- Product Manager, Developer Ecosystem · Reddit · San Francisco, CA
- Senior Product Manager: Extensible Compute · Snowflake · Menlo Park, CA
- Product Manager, Seller Experience · Anthropic · San Francisco, CA
- Senior Hardware Product Manager – Enterprise Networking & Security Hardware (NetSec) · Palo Alto Networks · CA
- Senior Product Manager (Chronosphere) · Palo Alto Networks · Burbank, CA
- Product Manager, GTM AI Systems · Zip · San Francisco, CA
Where San Jose, CA ranks
Where San Jose, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for marketing pay after cost of living$204k · of 16
- #1Best cities for aerospace and defense pay after cost of living$187k · of 19
- #2Best cities for security pay after cost of living$220k · of 10
- #3Best cities for technology pay after cost of living$205k · of 80
- #5Best cities for technology jobs1,449 openings · of 100
- #5Cities with the most jobs that do not need a four-year degree in the West Coast162 jobs · of 47
Rankings about product jobs
- Best cities for product jobs #1 New York (738 openings)
- Best cities for product pay after cost of living #1 Santa Clara ($224k)
- Most requested AI skills in product jobs #1 AI product management (17.9%)
- AI tools named most often in product jobs #1 Claude (3.2%)
- Employers with the most product jobs #1 Amazon (356 roles)
Pay compared with the market
This listing does not state pay. Across 264 open senior product manager listings that state pay, the middle half runs $160,500 to $200,000 and the median is $180,000.
Listed pay is what employers advertise, not what people are paid.
Senior Product Manager salaries by state · Check your own pay
TikTok has filed one layoff notice in the last twelve months, covering 250 workers, most recently August 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings
About the job
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.
Minimum Qualifications - Bachelor's degree or equivalent practical experience. - 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 - High proficiency in English and Mandarin listening, speaking, reading and writing. Both English and Mandarin skill sets are required to support clients in China and to communicate with stakeholders.
Preferred Qualifications - Master’s degree in Computer Science, Engineering, Business, or a related field