Senior Product Manager (ML Signals)

TL;DR

Senior Product Manager (ML Signals): Drive the strategy, development, and adoption of foundational ML signals for content understanding at massive scale with an accent on multimodal systems for text, images, and video. Focus on defining roadmaps, establishing metrics, leading data strategies, and navigating tradeoffs to improve personalization, safety, and engagement.

Location: United States, fully remote-friendly

Salary: $190,800–$267,100 annually

What you will do

• Define and execute long-term roadmap for ML signals on content understanding, quality, topicality, and safety.
• Partner with ML engineers, data scientists, and teams to build scalable multimodal content intelligence systems.
• Drive adoption of ML signals across personalization, search, advertising, recommendations, and safety.
• Establish success metrics, governance, and quality definitions for consistent signal usage.
• Lead data strategy for training datasets, human-in-the-loop workflows, and AI-assisted labeling.
• Monitor performance and translate technical outcomes into product improvements; communicate to stakeholders.

Requirements

• Minimum 5 years of Product Management experience in machine learning, AI, NLP, or platform products
• Proven track record delivering high-impact products with measurable outcomes
• Strong understanding of end-to-end ML lifecycle: data collection, feature engineering, evaluation, deployment
• Deep familiarity with AI technologies: embeddings, classifiers, ranking, LLMs, automated evaluation
• Experience with scalable ML signals, data pipelines, LLM-assisted evaluation
• Strong analytical, strategic, communication, and cross-functional collaboration skills

Nice to have

• Background in Data Science, Engineering, or hands-on technical development
• Active interest in latest AI and ML research trends

Culture & Benefits

• Fully remote-friendly with flexibility and global collaboration
• Comprehensive medical, dental, vision coverage; 401(k) with matching
• Flexible paid vacation, volunteer time off, generous parental leave
• Mental health resources, wellness benefits, gender-affirming care
• Professional development, home workspace assistance, caregiving benefits
• Equity through RSUs; work on large-scale AI challenges with high impact