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14 часов назад

Personalization Product Lead

220 000 - 302 500$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Personalization Product Lead (Recommendation Systems/AI): Owns the roadmap and strategy for recommendation and ranking systems that shape retailer discovery across Faire's marketplace, with an accent on technical product leadership, machine learning tradeoffs, and cross-functional prioritization. Focus on researching retailer behavior, sequencing algorithm and engineering work, solving ambiguous high-stakes discovery problems, and scaling the personalization product team.

Location: New York City, NY or San Francisco, CA; hybrid work with office attendance 3 days per week on Tuesdays, Thursdays, and one flex day on Monday, Wednesday, or Friday. Hybrid roles may be performed remotely for up to 4 weeks per year.

Salary: $220,000–$302,500 USD per year in San Francisco, plus equity and benefits.

Company

hirify.global is a technology wholesale platform using technology, data, and machine learning to connect independent retailers with products from brands around the world.

What you will do

  • Own the end-to-end personalization roadmap and strategy for recommendation and ranking systems across retailer-facing discovery surfaces.
  • Research retailer needs, discovery behavior, and marketplace dynamics using qualitative and quantitative methods to identify high-impact opportunities.
  • Partner directly with machine learning engineers on model and system tradeoffs and improvements.
  • Co-create and sequence roadmaps with data science, engineering, and product partners to deliver customer and business impact.
  • Prioritize cross-team personalization opportunities and remain accountable for ambitious, highly visible goals.
  • Define how the personalization scope should split, then help hire and onboard a second Personalization PM.

Requirements

  • 8+ years of product management experience, including senior IC or Staff-level ownership of a technical product area.
  • Direct experience shipping recommendation, ranking, or personalization systems.
  • Strong business judgment and a track record of making prioritization decisions across multiple stakeholder teams to deliver ambitious goals.
  • Experience splitting execution responsibility with partner teams on shared goals, defining ownership, and aligning roadmaps.

Nice to have

  • Prior people-management experience.

Culture & Benefits

  • Opportunity to own meaningful problems serving retailers and customers globally.
  • Access to enterprise AI tools and investment in scalable ways of working.
  • Competitive pay, equity, and comprehensive benefits.
  • Equal access to opportunities, growth, and success.

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