Чёткая senior-роль в крупном потребительском продукте с заметной ответственностью за рекомендации, эксперименты и здоровье сообществ.
Понятная зона ответственности
Крупная продуктовая платформа
Развитые льготы
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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