Product Manager, LLM Evaluation & User Insight (E-Commerce Recommendations)
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can map "About the Team" to About the role heading. Responsibilities: we have bullet list. Qualifications: we have Minimum Qualifications and Preferred Qualifications. Could combine under Qualifications heading. Benefits: we have description of benefits. Pay: we have compensation description. Schedule: we have mention of fully in-person schedule up to 5 days a week. We also have other sections like About USDS etc. Those are not in allowed headings; we should not create headings for them. We can either drop them or incorporate into appropriate sections? The instruction: "Prefer a few substantive sections over many thin ones." Also "Do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it." So we can drop sections not matching allowed headings. The "About USDS" etc is not allowed heading; we could maybe treat as part of About the role? But it's more about company. Could be omitted? The instruction says preserve ALL substantive information; do NOT invent or summarize away detail. So we must keep that info somewhere. If we cannot create a heading for it, we could embed it in a
under About the role or maybe under a generic
without heading? The instruction says output ONLY the HTML fragment, no /. It didn't forbid having
without heading. So we can include paragraphs for that info without a heading, but we must not create headings not in list. So we can have
About the role
then include the About the Team paragraph plus maybe the About USDS paragraph as part of same section? That would preserve info. Similarly, "Why Join Us", "Diversity & Inclusion", "USDS Reasonable Accommodation", "Job Information" etc could be placed under appropriate headings if they fit: Benefits, Pay, Schedule, maybe Qualifications? Not really. Could be placed under About the role as well? But that might be too much. However instruction: "Prefer a few substantive sections over many thin ones." So we could combine many paragraphs under About the role. That would preserve info while not creating extra headings. But we also need Benefits, Pay, Schedule sections as they have specific content. Thus final HTML:About the role
... (About the Team description) ...
... (About USDS description) ...
... (Why Join Us description) ...
... (Diversity & Inclusion description) ...
... (USDS Reasonable Accommodation description) ...
... (Job Information about on-site presence etc) ...
ThenResponsibilities
with- each bullet.
Then
Qualifications
with maybe two sub-sections? Could just list Minimum and Preferred as- etc. Could separate with Minimum Qualifications: etc inside
- . Or we could have two
- but that's okay.
Then
- each benefit.
Then
Pay
withcontaining compensation description. Then
Schedule
withabout fully in-person schedule up to 5 days a week. We must not include sections like Requirements, Skills if no content. We must not include boilerplate like cookie/navigation/legal/EEO etc. We removed those. Check for any duplicated lines: we need to preserve all substantive info, not repeat. Let's extract text. About the Team paragraph: "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." About USDS paragraph: "TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale. On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week." Why Join Us paragraph: "Inspiring creativity is at the core of TikTok'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 paragraph: "TikTok 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 so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too." USDS Reasonable Accommodation paragraph: "USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA" Job Information about on-site presence etc: Actually we already included on-site presence in About USDS paragraph. There's also maybe other job info: "Job Information 【For Pay Transparency】Compensation Description (Annually)" etc. That's covered in Pay and Benefits. We need to ensure we don't duplicate the on-site presence schedule info; we already have schedule section. Now Responsibilities bullets: - 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. 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). The Company reserves the right to modify or change these benefits programs at any time, with or without note. Pay: Compensation Description (Annually) The base salary range for this position in the selected city is $149040 - $246400 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 may vary depending on the nature of employment and the country work location. Schedule: On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week. But we already have that sentence in About USDS; we might duplicate. To avoid duplication, we could keep schedule section short: "The role requires a fully in-person schedule up to 5 days a week." However we must preserve all substantive info; we can keep the sentence but ensure not duplicate elsewhere? The About USDS paragraph includes that sentence; if we keep both, it's duplication. We should avoid duplicated lines. So we should remove that sentence from About USDS paragraph when we move it to Schedule section. Let's adjust: In About USDS paragraph, we can keep everything except the schedule sentence. Then schedule section contains that sentence. Thus About USDS paragraph becomes: "TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies
Benefits
with - each benefit.
Then