Genai & Agentic Product Manager, Vice President

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Consumer & Community Banking

Product Manager for an Agentic and Generative AI platform within a financial services company, focusing on delivering scalable AI products and collaborating with engineering, data science, and business teams.

What you'd actually do

  1. Inform and support the product strategy and roadmap for GenAI platform capabilities, balancing customer needs, technical feasibility, and business impact.
  2. Lead end-to-end product lifecycle activities including discovery, requirements gathering, prioritization, and delivery of GenAI features.
  3. Collaborate with cross-functional teams to ensure product scalability, reliability, and alignment with compliance and governance standards.
  4. Drive user research, market analysis, and competitive benchmarking to inform product decisions and identify new opportunities.
  5. Manage the product backlog and work closely with engineering to deliver high-quality, timely releases.

Skills

Required

  • 5+ years of product management experience
  • Strong understanding of agentic and generative AI technologies
  • machine learning workflows
  • cloud platforms (AWS preferred)
  • Proven ability to manage product lifecycle activities from discovery through delivery in complex, matrixed organizations
  • Experience collaborating with engineering, data science, and business teams to deliver scalable AI/ML solutions
  • Excellent communication and stakeholder management skills
  • Customer-focused mindset
  • strong analytical and problem-solving abilities
  • Familiarity with compliance and governance considerations in AI/ML product development
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, Business, AI Product Design, or related field

Nice to have

  • Prior experience in financial services or regulated industries
  • Knowledge of emerging trends and competitive landscape in generative AI
  • Background in vendor management and technology integration

What the JD emphasized

  • demonstrated leadership in AI/ML or data-driven product environments
  • Strong understanding of agentic and generative AI technologies
  • Proven ability to manage product lifecycle activities from discovery through delivery in complex, matrixed organizations
  • Experience collaborating with engineering, data science, and business teams to deliver scalable AI/ML solutions
  • Familiarity with compliance and governance considerations in AI/ML product development

Other signals

  • Agentic and Generative AI platform capabilities
  • deliver scalable, resilient, and user-centric generative AI products
  • AI/ML Solutions Platform team