Назад
2 дня назад

Product Manager (Ecosystem Relevance)

232 500 - 325 500$
Формат работы
remote (только USA)
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

Текст:
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TL;DR
Product Manager (Ecosystem Relevance) (recommendation systems and personalization): Building relevance experiences for new users, content quality, community coherence, and discovery across Reddit with an accent on cold-start recommendations, ranking objectives, and ecosystem health. Focus on defining quality signals, running controlled experiments, and balancing personalization, exploration, diversity, and long-term participation.

Location: Remote - United States

Salary: USD 232,500–325,500 base salary annually, plus potential equity and commission depending on the position offered.

Company

Reddit is a community platform built around shared interests, conversations, content discovery, and participation across more than 100,000 active communities.

What you will do

  • Own the strategy for cold-start recommendations, interest exploration, and early personalization for new users.
  • Define content and community quality concepts, signals, and evaluation methods covering usefulness, originality, authenticity, and user feedback.
  • Improve alignment between community topics, surfaced content, and the interests and expectations of discovering audiences.
  • Identify opportunities for emerging and niche communities to reach suitable audiences and address exposure limitations.
  • Partner with engineering on candidate selection, ranking, exploration, diversity, and repetition controls across consumer experiences.
  • Build measurement frameworks and lead behavioral analysis, research, controlled experiments, roadmap prioritization, and execution with cross-functional teams.

Requirements

  • Experience shipping consumer products in recommendations, discovery, search, personalization, growth, or community ecosystems.
  • Strong product intuition for new users and understanding of how early experiences influence retention and long-term participation.
  • Ability to define metrics, interpret experiments, investigate heterogeneous effects, and distinguish short-term engagement gains from durable improvements.
  • Fluency in recommendation systems and experience partnering with ML engineers and data scientists on signals, objectives, and evaluation.
  • Understanding of ecosystem dynamics, including feedback loops, exposure allocation, content supply, audience growth, and community health.
  • Ability to convert quality and community coherence concepts into clear product requirements and measurable outcomes.
  • Strong execution and cross-functional influence, including judgment when balancing personalization, exploration, quality, and ecosystem health.

Culture & Benefits

  • Comprehensive healthcare benefits and income replacement programs.
  • 401(k) with employer match and global benefit programs covering workspace, professional development, and caregiving support.
  • Family planning support, gender-affirming care, and mental health and coaching benefits.
  • Flexible vacation, paid volunteer time off, and generous paid parental leave.
  • Interviews may be recorded, transcribed, and summarized by AI for select roles; candidates can opt out before scheduled interviews.

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