Senior Product Manager, ML Signals

Responsibilities

• Signal Strategy & Vision: Define the long-term roadmap for foundational "content understanding" signals, including topicality (interest-based tagging), content maturity, and quality scores used across the platform.
• Platform Adoption: 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.
• Signal Governance: Establish standardized definitions and success metrics for content quality and utility, ensuring a consistent understanding of "high quality" across different product surfaces.
• Data Strategy & Labeling: 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).
• Performance Optimization: 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).
• Cross-Functional Leadership: Navigate complex tradeoffs between Policy, Engineering, and Product teams to ensure signals meet both user safety requirements and product growth goals.

Required Qualifications

• Technical Leadership & Experience