Senior Product Manager, ML Signals

🕒 May 13

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

👥 B2C

📱 Media

🌍 Social Impact

B2C • Media • Social Impact

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• Define the long-term roadmap for foundational "content understanding" signals, including topicality (interest-based tagging), content maturity, and quality scores used across the platform. • Act as the primary bridge between the MLE team and downstream consumers (e.g., Feed, Ads, Search, and Safety). Drive the integration of ML signals to improve personalization and brand safety. • Establish standardized definitions and success metrics for content quality and utility, ensuring a consistent understanding of "high quality" across different product surfaces. • Lead the strategy for high-quality training data, including the use of "Human-in-the-Loop" (HITL) workflows and modern automated evaluation techniques (e.g., using Large Language Models to assist in data labeling). • Partner with Data Science and MLEs to monitor signal health, coverage, and accuracy (Precision/Recall), and translate technical performance into business impact (e.g., retention, engagement, or revenue). • Navigate complex tradeoffs between Policy, Engineering, and Product teams to ensure signals meet both user safety requirements and product growth goals.

🎯 Requirements

• 5+ years of Product Management experience, specifically focused on Machine Learning, NLP, or Platform products. • A proven history of shipping high-impact products that have delivered measurable business results. • Autonomy in roadmap management, with the ability to lead complex services from initial vision to execution and scaling. • Strategic vision, including the ability to define clear goals and success metrics that align with broader organizational objectives. • Deep understanding of the ML lifecycle, encompassing data collection, feature engineering, model evaluation, and deployment. • Technical proficiency in modern AI, including comfortable fluency in embeddings, classifiers, ranking systems, and LLM capabilities. • Direct experience with LLM-based evaluation frameworks (e.g., "LLM-as-a-judge") and the design of scalable, automated data curation pipelines. • Analytical self-sufficiency, with the ability to independently gather and derive actionable insights from complex datasets. • The ability to synthesize technical complexity into clear product requirements and executive-level summaries. • Cross-functional influence, with a demonstrated ability to drive internal adoption of platform tools and integrate technical signals into diverse product roadmaps. • Effective technical partnership skills, maintaining the depth of knowledge required to collaborate closely with ML engineers and architects.

🏖️ Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs • 401k with Employer Match • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave