Product Manager, Ecosystem Relevance

About the Team:

We help people discover content and communities that make them want to return and participate. Our work connects personalized relevance with the health of the broader ecosystem: helping new users find their interests, elevating quality, and connecting communities with audiences who will value them. We care about both the usefulness of an individual recommendation and how discovery shapes the experience of users, contributors, and communities over time.

About the Role:

We’re looking for a Product Manager to lead Ecosystem Relevance, with a focus on new user experiences, content and community quality, and community coherence.

You’ll shape how our relevance systems serve people when we know little about them, recognize worthwhile content and communities, and account for the context that makes a recommendation appropriate. Working with ML engineering, data science, research, and consumer product teams, you’ll translate these goals into signals, ranking objectives, product experiences, and experiments that improve retention and participation while supporting a healthy ecosystem.

What You'll Do:

• Improve relevance for new users. Own the strategy for cold start recommendations, interest exploration, and early personalization so people find value in their first sessions.
• Make quality actionable. Develop definitions, signals, and evaluation methods for content and community quality, accounting for usefulness, originality, authenticity, and user feedback.
• Strengthen community coherence. Improve alignment between what a community is about, the content surfaced from it, and the interests, intent, and expectations of the people discovering it.
• Shape discovery across the ecosystem. Identify opportunities for new, emerging, and niche content and communities to reach suitable audiences, and address exposure patterns that limit discovery.
• Translate ecosystem goals into relevance decisions. Partner with engineering on candidate selection, ranking, exploration, diversity, and repetition controls across relevant consumer experiences.
• Build a balanced measurement framework. Assess early retention, satisfaction, successful discovery, negative feedback, and downstream participation and community health.
• Lead experiments and execution. Combine behavioral analysis, research, and controlled experiments to identify opportunities, prioritize a roadmap, and deliver measurable improvements with partner teams.

What We're Looking For:

• Experience shipping consumer products in recommendations, discovery, search, personalization, growth, or community ecosystems.
• Strong product intuition for new users and an understanding of how early experiences influence retention and longer-term participation.
• Analytical depth: the 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.
• An understanding of ecosystem dynamics, including feedback loops, exposure allocation, content supply, and the relationship between audience growth and community health.
• The ability to turn concepts such as quality and community coherence into clear product requirements and measurable outcomes.
• Strong execution and cross-functional influence, with the judgment to navigate tradeoffs among personalization, exploration, quality, and ecosystem health.