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7 дней назад

Senior Product Manager, Catalog Science AI/ML

170 013 - 194 663$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Product Manager, Catalog Science AI/ML (Agentic AI/e-commerce): Building and scaling agentic AI products for supplier and merchandising operations with an accent on LLM workflows, product content optimization, and measurable business impact. Focus on defining multi-cycle roadmaps, evaluating AI systems, designing multi-agent architectures, and translating complex AI capabilities into testable product features.

Location: Hybrid role based in Boston, United States; office attendance is required on Tuesdays, Wednesdays, and Thursdays.

Annual base pay: USD 170,013–194,663, with potential additional equity, bonuses, commissions, and other compensation.

Company

Online home retail platform offering more than 30 million products across furnishings, decor, home improvement, and housewares.

What you will do

  • Own the product vision and roadmap for agentic AI solutions across supplier and merchandising technology.
  • Deliver and scale AI products that optimize supplier relationships, product content, pricing competitiveness, speed, returns, and incident rates.
  • Plan roadmaps, sequence work, and manage execution with engineering, machine learning science, experience design, and data science teams.
  • Drive build-versus-buy decisions, leadership alignment, experimentation, and strategy evolution.
  • Define product requirements and coordinate with consumer technology, supplier technology, merchandising, and commercial teams.
  • Influence agentic workflows and multi-agent architecture strategy while supporting execution through product development rituals.

Requirements

  • Bachelor’s degree with a strong academic record; a technical or engineering background is preferred.
  • 7+ years of product management experience, including recent AI-enabled impact.
  • Deep familiarity with LLMs such as GPT, Claude, and Gemini, as well as prompt engineering, embeddings, and generative AI workflows.
  • Experience with AI evaluation, hallucination mitigation, or RAG pipelines.
  • Ability to translate embeddings, prompting strategies, vector search, and evaluation frameworks into usable, testable product features.
  • Strong technical, analytical, communication, stakeholder management, business strategy, and metrics skills.

Culture & Benefits

  • Work in a technology-driven e-commerce environment focused on supplier and merchandising innovation.
  • Collaborate with cross-functional teams across engineering, product, science, design, data, and commercial functions.
  • Benefits may include medical, financial, and additional employee benefits, along with equity, bonuses, or commissions depending on the position.
  • Equal-opportunity workplace with reasonable accommodations available during the application and interview process.

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