Principal Product Manager, Personalization & AIML

Define the product vision, strategy, and roadmap for AI-powered personalization across recommendation systems, user and content understanding, agentic memory, and generative AI content experiences. Translate user and product goals into clear requirements for ranking, retrieval, profile generation, memory, content understanding, data pipelines, evaluation, and serving systems. Turn advances in AI, ML, LLMs, ranking, retrieval, and generative recommendation systems into practical product capabilities that improve user engagement, satisfaction, trust, safety, and business impact. Own product requirements and platform interfaces for recommendation systems, user profiles, memory, personalization signals, AI content generation, human and AI evaluation, and downstream product integration and consumption. Partner with engineering, research, data science, design, legal, privacy, and policy teams to move capabilities from research prototypes into scalable personalization systems and user-facing experiences. Define success across offline evaluation and online product metrics, balancing relevance, usefulness, freshness, latency, safety, reliability, cost, and long-term user value. Build closed learning loops that turn product usage, explicit feedback, content signals, and model outcomes into datasets, evaluations, experiments, training priorities, and launch decisions. Use experimentation, telemetry, user research, and model evaluation to identify opportunities, prioritize investments, and validate product impact. Work with infrastructure and platform teams to balance model capability, latency, serving cost, data freshness, privacy constraints, and system reliability. Create clear product artifacts, decision frameworks, and roadmap documents that align teams across ambiguous and cross-functional workstreams. Influence senior stakeholders and partner teams by explaining complex AI, ranking, and platform tradeoffs in clear business and user terms. Bachelor's Degree AND 10+ years experience in product/service/program management or software development Bachelor's Degree AND 15+ years experience in product/service/program management or software development OR equivalent experience. Experience building or managing AI, ML, recommendation, personalization, search, content understanding, user understanding, or data platform products. Experience using data, experimentation, user feedback, and product metrics to guide roadmap decisions and measure product impact. Experience working with cross-functional teams, including engineering, data science, research, design, privacy, policy, or go-to-market teams. 5+ years' experience building consumer-facing AI, recommendation, personalization, search, feed, marketplace, content, or platform products. Experience with generative AI, LLMs, agents, user memory, retrieval systems, ranking systems, or AI-powered content generation. Experience defining product architecture for personalization platforms, including user profiles, signal pipelines, model interfaces, evaluation systems, serving systems, and downstream product integrations. Experience launching 0-to-1 products or platform capabilities in ambiguous, fast-moving environments. Experience improving product metrics such as engagement, retention, relevance, satisfaction, revenue, content quality, or recommendation performance. Solid technical fluency with AI/ML systems, data pipelines, APIs, experimentation, telemetry, model evaluation, and scalable serving infrastructure. Working knowledge of SQL, Python, experimentation platforms, analytics tools, or data investigation workflows. Ability to combine consumer product taste with systems rigor, caring about both the quality users feel and the infrastructure that makes personalization repeatable at scale. Ability to write clear product documents, align multiple teams, and drive decisions across technical and business stakeholders. Solid product judgment, systems thinking, user empathy, and ability to operate with high agency in complex product areas.