
Staff Product Manager – Moderation
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Identify the most impactful opportunities for Reddit to enhance community enforcement and moderator workflows, transforming these into a well-defined product strategy and roadmap.
• Spearhead the development of LLM-powered moderation experiences from inception to implementation.
• Cultivate a deep understanding of moderators, community members, and the dynamics of healthy communities, and convert these insights into product experiences.
• Establish success metrics and criteria for model/product evaluation that link user value, community health, and Reddit's overarching strategy.
• Assess the quality of AI/ML, focusing on precision, recall, error costs, coverage, latency, failure modes, human review, and feedback loops.
• Analyze ecosystem tradeoffs concerning community health, moderator trust, user trust, safety, and product quality.
• Collaborate with Engineering, Data Science/ML, Design, Safety, Consumer teams, and senior leaders to ensure effective execution.
• Articulate strategy, decisions, tradeoffs, and learnings to executive stakeholders.
• Proven experience at the staff level in product management, overseeing significant consumer surfaces or systems with demonstrable user impact.
• Outstanding product intuition encompassing user insight, problem framing, prioritization, UX judgment, and overall product sensibility.
• History of leading ambiguous zero-to-one projects or significant product evolution from strategy formulation to launch and subsequent learning.
• Experience in developing AI/ML-powered products, with a solid understanding of model evaluation and product/model tradeoffs.
• Strong analytical capabilities, including defining metrics, interpreting data, and making necessary directional changes.
• Excellent cross-functional leadership skills in collaboration with Engineering, Data Science/ML, Design, Safety, and partner teams in complex and ambiguous environments.
• Familiarity with community, social, creator, UGC, trust/safety, or moderation products.
• Background in ML-intensive consumer surfaces or policy-sensitive AI experiences.
• Experience in transitioning mature systems to a new product paradigm within complex, matrixed organizations.
• Comprehensive healthcare benefits and income replacement programs.
• 401k with employer matching.
• Global benefit programs tailored to your lifestyle, ranging from workspace arrangements to professional development and caregiving support.
• Family planning assistance.
• Gender-affirming care services.
• Mental health and coaching benefits.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave.
• Equity compensation in the form of restricted stock units.
• Medical, dental, and vision insurance coverage.
• Option to opt out of AI interview recording, transcription, and summarization.
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