Senior Product Manager, AI Integrations

1 month ago


los angeles, United States Motion Recruitment Full time

Our client, an American multinational mass media corporation is hiring a Senior Product Manager, AI Integrations & Evaluation join their new Sports streaming service core product team


The location preference would be that candidates be based in Los Angeles or San Francisco, CA.


This team is looking for an experienced Product Manager to ensure that AI products are delivering high-quality customer experiences. This role will also manage AI product partnerships and platform integrations. If you’re passionate about creating exceptional product experiences and shaping the future of sports entertainment, we’d love to hear from you.

Responsibilities:

  • Lead a cross-functional team specializing in backend engineering, customer support, and quality assurance, effectively managing vendor partnerships to ensure smooth project execution.
  • Collaborate with partner teams and other stakeholders to define product requirements, manage costs, and improve AI end-user experiences.
  • Monitor product performance and user feedback using data-driven insights to inform product improvements and iterations.
  • Lead AI model evaluation, tracking, and continuous improvement to ensure models meet customer needs and business goals.
  • Use experimentation and data-driven approaches to validate changes to agent orchestration, LLM prompts, AI/ML models, and data sources.
  • Stay informed on AI trends to recommend product improvements and automation opportunities for the product roadmap.

Qualifications:

  • Bachelor's degree or equivalent experience.
  • 6+ years of experience as a Product Manager, with 3+ years in AI/ML-focused products.
  • 1+ years of experience managing vendor teams.
  • Deep understanding of AI/ML technologies, including large language models, computer vision, and generative AI.
  • Experience with model evaluation and improvement, including metrics such as F1 scores, precision, and recall.
  • Demonstrated success working with cross-functional teams, including engineering, design, and data science, to deliver AI products at scale.



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