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4 дня назад

Senior Product Manager (AI/ML Discovery)

142 000 - 220 500$
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 (AI/ML Discovery): Define and deliver AI/ML-powered search, browsing, navigation, and product discovery experiences for millions of e-commerce customers with an accent on product strategy, experimentation, and cross-functional execution. Focus on translating shopper insights into discovery products, measuring ambiguous AI signals through A/B testing, and driving launches with engineering, data science, and design.

Location: Hybrid in Seattle, Washington

Salary: $142,000–$220,500 annual

Company

hirify.global is developing digital commerce experiences that help millions of customers discover products and brands.

What you will do

  • Define and drive the roadmap for AI/ML-powered search, browsing, navigation, and product discovery experiences.
  • Partner with Engineering, Design, Data Science, UX Research, Analytics, and Merchandising to build customer-focused discovery products.
  • Analyze shopper intent and behavior and translate insights into product improvements.
  • Design, run, and interpret A/B tests to guide portfolio investment and measure AI-driven experiences.
  • Write user stories, acceptance criteria, and requirements for AI/ML discovery features.
  • Own launch planning, UAT, change management, backlog management, agile ceremonies, release planning, and post-launch validation.

Requirements

  • 5–8 years of product management experience with demonstrated progression in scope and impact.
  • Experience leading AI/ML products such as search, recommendations, or other AI/ML-powered consumer products at scale.
  • Strong understanding of AI/ML product development and the ability to partner credibly with engineers and data scientists.
  • Strong experimentation and analytics skills for product decision-making.
  • Ability to influence technical and non-technical stakeholders at senior levels and lead through ambiguity.
  • Bachelor’s degree in Business, Math, Engineering, Computer Science, or equivalent experience.

Culture & Benefits

  • Cross-functional work at the intersection of customer experience, machine learning, and artificial intelligence.
  • Medical, vision, dental, retirement, and paid time away benefits.
  • Life insurance, disability insurance, holidays, and PTO accruals.
  • Merchandise discount, Employee Assistance Program resources, and potential performance-based incentives or bonuses.

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