Product Operations Manager (LLM) - TikTok Minor Safety (San Jose)

TikTok Inc.; San Jose (CA); On-site; USD 122,000 - 272,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Short-term and long-term disability

Life insurance

Wellbeing benefits

Paid holidays and vacation

Job summary

TikTok Inc. is seeking a specialist to own model strategy and operations for TikTok Minor Safety.

You will work with cross-functional teams across policy, legal, AI, and engineering to translate complex safety and regulatory needs into scalable product solutions that protect users while maintaining a high-quality experience.

Qualifications

• Bachelor's or master's degree in Computer Science, English, Statistics, Philosophy, or related fields.
• Solid understanding of machine learning, including Large Language Models (LLMs) and Transformer architectures.
• Strong project management and collaboration skills across cross-functional teams.

Responsibilities

• Own model strategy and operations for TikTok Minor Safety, collaborating with cross-functional teams to design, train, and evaluate models.
• Participate in the full data production lifecycle, including dataset standards and data delivery.
• Explore and adopt LLM tools to optimize data production workflows for efficiency and scalability.
• Research emerging training methodologies to improve data generalization and production efficiency.

Skills

ML fundamentals

LLMs

Transformers

Cross-functional collaboration

Project management

Communication

Education

CS/English/Stats/Philosophy degree

Job description

Responsibilities

We are building the next generation of content safety and governance systems at TikTok, 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 TikTok 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.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $121600 - $272000 annually.

Compensation may vary outside of this range depending on a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Eligibility

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

• 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
• 3. Exercising sound judgment.