AI ML Product Manager
@ JPMorganChase

Jersey City, NJ
$150,000
On Site
Full Time
Posted 17 hours ago

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XXXXXXXXX XXXXXXXXX XXXXXXXXX****** @jpmorganchase.com
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Job Details

Overview

Join our innovative team at JPMorganChase and shape the future of software development with AI-driven solutions. As an AI ML Product Manager, you will drive product strategy, transform legacy systems, and enhance developer productivity.

Role & Responsibilities

  • Develop product strategy and vision delivering customer value.
  • Manage discovery and market research to shape product roadmap.
  • Maintain product backlog and measure success metrics.
  • Collaborate with engineering teams for AI solution implementation.
  • Act as liaison between stakeholders and development teams.

Qualifications

Required: 5+ years in product management or relevant domain, strong understanding of AI in software development, programming experience (Java or Python), familiarity with AI frameworks and agents, and deep experience in the product development lifecycle.

Preferred: Experience in complex organizations, leading cross-functional teams, TLM processes, and knowledge of vector databases and semantic search techniques.

About JPMorganChase

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions worldwide. We provide competitive rewards, benefits, and a diverse work environment ensuring equal opportunity for all.

Key Skills/Competency

  • Product Management
  • AI Implementation
  • Legacy Systems
  • Market Research
  • Backlog Management
  • Stakeholder Engagement
  • Cross-functional Leadership
  • Data Analytics
  • Programming (Java/Python)
  • TLM Processes
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How to Get Hired at JPMorganChase

🎯 Tips for Getting Hired

  • Customize your resume: Tailor it to highlight AI and product management skills.
  • Study JPMorganChase: Understand the company's mission and culture.
  • Emphasize relevant experience: Focus on legacy systems transformation and AI implementation.
  • Practice interview insights: Prepare for product strategy and technical questions.

📝 Interview Preparation Advice

Technical Preparation

Review AI frameworks and related coding practices.
Study Java and Python coding standards.
Understand legacy system transformation techniques.
Analyze product lifecycle management metrics.

Behavioral Questions

Describe a time you led a product launch.
Explain handling cross-functional team challenges.
Discuss prioritization in product management.
Share experience addressing customer feedback.

Frequently Asked Questions