Principal Product Manager, Personalization & AIML
Core
Define product vision and strategy for AI-powered personalization across recommendation systems, user/content understanding, agentic memory, and generative AI content experiences to improve user engagement and business impact.
Role type
Principal Product Manager (AI/ML Personalization)
Builds
Scalable personalization systems, user-facing recommendation experiences, and AI content generation capabilities.
Domain
AI/ML, Recommendation Systems, Generative AI, Personalization
Deliverable
product features
Required skills
Product strategy definition, Requirements translation for AI/ML systems, Cross-functional partnership, Product metrics definition, Experimentation design, Technical fluency in AI/ML systems, Product architecture definition, 0-to-1 product launch, Stakeholder influence
Preferred skills
Experience with agentic memory, Retrieval systems, Human and AI evaluation frameworks
Technologies
LLMs, Ranking systems, Retrieval systems, Generative recommendation systems, Data pipelines, Serving infrastructure, SQL, Python, Experimentation platforms
Responsibilities
Define product vision and roadmap for AI personalization; Translate user goals into requirements for ranking, retrieval, and memory systems; Partner with engineering and research to move prototypes to scalable systems; Define success metrics balancing relevance, latency, safety, and cost; Build closed learning loops from usage to training priorities; Create product artifacts and decision frameworks; Influence stakeholders on AI/platform tradeoffs.
Seniority
Principal, strategy & mentorship
