Senior Product Manager, ML Signals

🕒 il y a 24 jours

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Reddit, Inc.

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2005

👥 B2C

📱 Médias

🌍 Impact social

B2C • Media • Social Impact

Reddit, Inc. est une plateforme de médias sociaux qui fait office de hub pour des milliers de communautés, où les utilisateurs peuvent participer à des conversations variées, allant des dernières actualités aux centres d’intérêt les plus pointus. Elle permet aux utilisateurs de publier, de commenter et de voter sur des contenus, favorisant une communauté en ligne dynamique. Des millions de personnes à travers le monde se connectent et partagent leurs passions sur Reddit, créant un environnement propice à des interactions humaines authentiques.

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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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