5 дней назад
Product Manager, LLM Evaluation & User Insight (E-Commerce Recommendations)
149 040 - 246 400$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Product Manager, LLM Evaluation & User Insight (E-Commerce Recommendations) (LLM evaluation/AI recommendations): Designing evaluation methodologies, benchmark datasets, and user research programs for LLM-powered e-commerce discovery and recommendation experiences with an accent on quality metrics, human evaluation, and preference modeling. Focus on diagnosing model failure modes, leading annotation and red-teaming initiatives, and translating user and model insights into improvements for ranking and context-aware delivery.
Location: San Jose, United States; fully in-person schedule up to 5 days a week
Salary: $149,040–$246,400 annually
Company
operates a U.S. content ecosystem focused on data privacy, cybersecurity, trust and safety, and protecting U.S. user data.
What you will do
- Design and own automated, model-based, and human evaluation methodologies for LLMs in e-commerce contexts.
- Define quality metrics and build standardized benchmark datasets.
- Conduct quantitative and qualitative research into buyer and creator needs, mental models, and pain points.
- Lead human annotation, preference modeling, pairwise comparisons, and red-teaming initiatives.
- Connect LLM quality insights with Recommendation, Search, and AI Discovery product and engineering teams.
- Diagnose model performance and failure modes and recommend improvements to ranking and context-aware delivery logic.
Requirements
- Bachelor’s degree or higher and at least 1 year of experience in Product Management, Data Product Management, or AI Quality/Evaluation.
- Hands-on experience or deep understanding of LLM evaluation methodologies and prompt engineering.
- Strong quantitative and qualitative analysis, metric design, and ability to translate research and data insights into technical specifications.
- Ability to align cross-functional stakeholders, including product managers, machine learning engineers, data scientists, and operations teams.
- Preferred experience includes 3+ years in LLM/GenAI evaluation, AI quality, user research, data annotation strategy, or machine learning applications.
- Technical familiarity with LLM training and fine-tuning, RLHF, and AI safety procedures is preferred.
Nice to have
- Experience in e-commerce, search and recommendation systems, or conversational AI.
- Experience with LLM training, fine-tuning, RLHF, and AI safety standard operating procedures.
Culture & Benefits
- Medical, dental, and vision insurance from day one.
- 401(k) savings plan with company match, life insurance, disability coverage, and wellbeing benefits.
- Paid parental leave, 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
- Inclusive workplace focused on creativity, curiosity, continuous learning, and collaboration.
- On-site work supports rapid alignment, real-time decision-making, and integrated execution.
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