Responsibilities

• Define the long-term roadmap for foundational "content understanding" signals, including topicality, 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).
• Establish standardized definitions and success metrics for content quality and utility.
• Lead the strategy for high-quality training data, including the use of "Human-in-the-Loop" (HITL) workflows.
• Partner with Data Science and MLEs to monitor signal health, coverage, and accuracy.
• Navigate complex tradeoffs between Policy, Engineering, and Product teams.

Required Qualifications

• 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, leading complex services from vision to execution.
• Deep understanding of the ML lifecycle.
• Technical proficiency in modern AI.
• Direct experience with LLM-based evaluation frameworks.
• The ability to synthesize technical complexity into clear product requirements.

Nice to Have

• Professional background in Data Science or Engineering.
• Active engagement with the ML research community.

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Pay Transparency

• The base salary range for this position is: $190,800 - $267,100 USD