Product Manager, Ecosystem Relevance

Quick Facts

• Role: Product Manager, Ecosystem Relevance

Description

Lead ecosystem relevance product work to improve how relevance systems serve new users through cold-start recommendations, content and community quality, and community coherence. You’ll translate ecosystem goals into relevance decisions and partner with ML engineering, data science, research, and consumer product teams to deliver measurable improvements.

Responsibilities

• Improve relevance for new users via cold start recommendations, interest exploration, and early personalization

• Make quality actionable by developing definitions, signals, and evaluation methods for content and community quality (usefulness, originality, authenticity, and user feedback)

• Strengthen community coherence by aligning what a community is about, the content surfaced, and the interests, intent, and expectations of discovering people

• Shape discovery across the ecosystem by identifying opportunities for new, emerging, and niche content and communities and addressing exposure patterns that limit discovery

• Translate ecosystem goals into relevance decisions

• Partner with engineering on candidate selection and ranking, exploration, diversity, and repetition controls across relevant consumer experiences

• Build a balanced measurement framework to assess early retention, satisfaction, successful discovery, negative feedback, and downstream participation and community health

• Lead experiments and execution using behavioral analysis, research, and controlled experiments to prioritize a roadmap and deliver measurable improvements

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 longer-term participation

• Analytical depth: define metrics, interpret experiments, investigate heterogeneous effects, and distinguish short-term engagement 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, and the relationship between audience growth and community health

• Ability to turn quality and community coherence concepts into clear product requirements and measurable outcomes

• Strong execution and cross-functional influence, with judgment to navigate tradeoffs among personalization, exploration, quality, and ecosystem health

Benefits

• Comprehensive healthcare benefits and income replacement programs

• 401(k) with employer match

• Global benefit programs (workspace, professional development, caregiving support)

• Family planning support and gender-affirming care

• Mental health & coaching benefits

• Flexible vacation and paid volunteer time off

• Generous paid parental leave

• Pay transparency: base salary range $232,500–$325,500 (U.S.), plus potential equity in the form of RSUs and possible commission depending on the position offered