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Product Operations Manager; LLM; Minor Safety

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: TikTok
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 122000 - 272000 USD Yearly USD 122000.00 272000.00 YEAR
Job Description & How to Apply Below
Position: Product Operations Manager (LLM) - TikTok Minor Safety )
Responsibilities

We are building the next generation of content safety and governance systems at Tik Tok, with a strong focus on protecting minors and teens at global scale. We are focusing on AI Model, Data and Minor Policy.

Our team sits at the intersection of product, policy, and AI, leveraging large language models and multimodal technologies to design safety mechanisms that are proactive, scalable, and measurable. We work closely with Policy, Legal, Algorithm, and Engineering teams to translate complex regulatory and safety requirements into real-world product solutions that protect users while preserving a high-quality user experience.

  • Own model strategy and operations for Tik Tok Minor Safety, working closely with cross-functional teams to participate in the end-to-end process of model design, optimization, training, and evaluation. Identify performance gaps and vulnerabilities in models, and propose effective actions to continuously improve model quality.
  • Participate in the full data production lifecycle, including defining dataset standards, executing model evaluations, and ensuring high-quality data delivery.
  • Explore and adopt the latest Large Language Model (LLM) tools to continuously optimize data production workflows and processes, improving efficiency and scalability. Stay up to date with industry trends to help build more intelligent and efficient data systems.
  • Research emerging model training methodologies from both academia and industry, identify weaknesses in existing training data, and propose innovative solutions to improve data generalization, production efficiency, and coverage.
Qualifications Minimum Qualification(s)
  • Relevant work experience with a bachelor’s or master’s degree or above in Computer Science, English, Statistics, Philosophy, or related fields.
  • Solid foundational understanding of machine learning, including Large Language Models (LLMs) and Transformer architectures.
  • Strong project management and operational skills, with a good understanding of end-to-end project workflows. Ability to collaborate efficiently in cross-functional teams and communicate effectively with both technical and non-technical stakeholders.
Preferred Qualification(s)
  • Experience in Trust & Safety, content moderation, or familiarity with content safety compliance requirements is a strong plus.
  • Hands-on experience in data analysis or model optimization is preferred.
About Tik Tok

Tik Tok is the leading destination for short-form mobile video. At Tik Tok, our mission is to inspire creativity and bring joy. Tik Tok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of Tik Tok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users.

When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

Tik Tok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and…

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