Sr Dir, Product Management - AI Platform

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"department": "Product Management", "business_unit": "PayPal; Risk Management; Risk & Core Platforms; ES Shared Services", "t_update": 1748981319, "t_create": 1743638400, "ats_job_id": "R0125381", "display_job_id": "R0125381", "type": "ATS", "id_locale": "R0125381-en", "job_description": "AI Platform & Infrastructure Strategy Define and execute the product roadmap for the AI Platform, ensuring alignment with business objectives and evolving AI/ML capabilities. Lead the development of LLM and agent-based products, optimizing model distillation, fine-tuning, RAG, and prompt engineering for real-world applications. Drive programmatic API development for seamless integration of AI services across products. Ensure scalability, reliability, and performance of AI models, leveraging compute-efficient architectures and inference optimizations. Collaborate with engineering on MLOps, model monitoring, bias detection, and governance frameworks to ensure responsible AI deployment. Building Next-Gen AI/ML Capabilities Develop strategies for multi-modal AI (text, speech, vision, structured data) to power next-generation AI-driven experiences. Work closely with teams to translate cutting-edge ML advancements into scalable, production-grade solutions. Establish best practices for model evaluation, explainability, and ethical AI development, addressing challenges like bias, hallucination, and drift management. 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Experience working with AI/ML infrastructure (MLOps, model deployment, GPU/cloud scaling, security & compliance). Strong leadership skills, with a track record of scaling AI product teams, driving execution, and fostering cross-functional collaboration. Excellent communication skills, with the ability to simplify complex AI/ML concepts for business and executive stakeholders. Experience with high-scale distributed AI systems and productionizing ML models for enterprise applications. Familiarity with regulatory and ethical AI considerations, including bias mitigation and fairness in AI. Background in computer science, machine learning, or a related technical field (MBA or advanced degree is a plus). 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