Product Manager, LLM Evaluation & User Insight (E-Commerce Recommendations)

About the Team

TikTok Shop is an innovative, global marketplace that brings together online sellers, buyers, and creators to build a seamless, one-stop shopping experience. The E-commerce Recommendation team lies at the heart of this ecosystem. We leverage cutting-edge AI and machine learning to build personalized, context-aware discovery engines across short videos and livestreams. Our mission is to connect users with products they love, empower creators to maximize their reach, and help merchants scale their business globally.

Responsibilities

• Design and own comprehensive evaluation methodologies (automated, model-based, and human evaluation) to assess LLM capabilities in e-commerce contexts.
• Define core quality metrics and establish standardized benchmark datasets.
• Conduct deep qualitative and quantitative user research to uncover buyer/creator needs, mental models, and pain points when interacting with AI-driven discovery and recommendation experiences.
• Lead human annotation, preference modeling (e.g., RLHF data strategies, pairwise comparisons), and red-teaming initiatives to systematically capture qualitative feedback and transform it into actionable model improvement signals.
• Act as the core strategic bridge connecting LLM quality insights with downstream consumers—specifically Recommendation, Search, and AI Discovery PM/Engineering teams.
• Provide continuous model performance diagnosis, failure-mode analysis, and strategic recommendations to downstream recommendation teams to help optimize their multi-objective ranking and context-aware delivery logic.

Qualifications

Minimum Qualifications:

• Bachelor's degree or above with 1+ years of Product Management, Data Product Management, or AI Quality/Evaluation experience.
• Hands-on experience or deep understanding of LLM evaluation methodologies and prompt engineering.
• Strong background in quantitative and qualitative analysis, metric design, and translating complex user research/data insights into actionable technical specs.
• Ability to drive alignment with cross-functional stakeholders (Downstream Recommendation PMs, ML Engineers, Data Science, Ops) in a fast-paced environment.

Preferred Qualifications:

• 3+ years of PM experience focusing on LLM/GenAI evaluation, AI Quality, User Research (UXR), Data Annotation Strategy, or Machine Learning applications.
• Prior experience in E-Commerce, Search & Recommendation, or Conversational AI ecosystems.
• Technical familiarity with LLM training/fine-tuning workflows, RLHF, and AI safety standard operating procedures.

Pay

The base salary range for this position in the selected city is $141,588 - $234,080 annually. Compensation may vary outside of this range depending on a number of factors, including 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

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).

Schedule

The company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.

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