Senior Staff Product Manager, User & Content Understanding (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Hybrid in Brooklyn, New York, United States; candidates should be within commuting distance of ’s Brooklyn office and attend once or twice per week. Remote candidates outside commuting distance may be considered case by case, with occasional travel to the office expected.
Salary: Geo-1: $233,000–$315,000 annual; Geo-2: $210,000–$284,000 annual. Additional equity package and annual performance bonus are available.
Company
is a global marketplace for unique and creative goods, building tools and technologies that connect millions of entrepreneurs with buyers.
What you will do
- Develop a multi-year product vision and strategy for understanding buyers, inventory, sellers, missions, and context.
- Build richer buyer representations covering tastes, aesthetics, interests, preferences, affinities, intent, context, and evolving missions.
- Develop semantic and multimodal representations of listings, shops, sellers, and other content, including attributes, aesthetics, quality, craftsmanship, originality, and authenticity.
- Create scalable approaches for new, signed-out, low-history, long-tail, and newly listed inventory where behavioral signals are limited.
- Translate representation learning, multimodal models, LLMs, sequence modeling, and generative recommendation into product opportunities for personalization, search, recommendations, discovery, advertising, and adaptive experiences.
- Align product, engineering, science, analytics, research, and design leaders; influence roadmaps, navigate cross-product trade-offs, and mentor product managers.
Requirements
- Significant product management experience leading large, ambiguous problem spaces with meaningful customer and business impact.
- Deep experience with ML-powered consumer products; experience in Search, Recommendations, Personalization, Ads, or Discovery is especially relevant.
- Strong understanding of modern search and recommender systems, including embeddings, retrieval and ranking, sequence models, multimodal systems, LLMs, cold start, exploration, and evaluation.
- High fluency in experimentation, analytics, and causal reasoning.
- Ability to think at a systems level and identify shared capabilities connected to real product needs.
- Consistent track record of influencing senior technical and product leaders without formal authority.
Nice to have
- Experience in e-commerce.
Culture & Benefits
- Work in ’s Machine Learning organization across Search, Recommendations, Ads, Buyer Experience, and ML Platform teams.
- Collaborate with teams supporting buyers, sellers, and marketplace services.
- Access equity compensation, an annual performance bonus, and benefits supporting employees and their families.
- supports visa sponsorship, although availability may be limited to certain roles and skills.
- Work in an inclusive workplace committed to equal employment opportunity and accommodation during the hiring process.
Hiring process
- Submit a resume; a cover letter may be included.
- Accommodation support is available during any part of the interview or hiring process.
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