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Product Manager, Machine Learning

Job in Wilmington, New Castle County, Delaware, 19894, USA
Listing for: JPMorgan Chase
Full Time position
Listed on 2026-06-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.

As a Product Manager in Machine Learning and Optimization team, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences.

With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.

As a Product Manager—Natural Language Understanding & Linguistics Lead in the Machine Learning & Optimization team, you are an integral part of the group that optimizes product features, models and AI capabilities for the Chase Digital Assistant and other conversational AI products. As a core leader, you are responsible for acting as the voice of the customer and developing a robust and scalable taxonomy to enable conversation dialogue, as well as a process and methodology for conducting conversation analysis.

Utilizing your deep understanding of computational linguists, Natural Language Understanding principles and AI-driven chatbot development, you will help guide the successful launch of conversational and model enhancements, gather crucial feedback, and ensure top-tier customer experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.

Job Responsibilities
  • Develop a product strategy and product vision that delivers value to customers
  • Manage discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
  • Own, maintain, and develop a product backlog that enables development to support the overall strategic roadmap and value proposition
  • Build the framework and track the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
  • Manage intent and entity taxonomy and alignment with cross‑functional teams across the Firm.
  • Manage conversational analysis in close partnership with Analytics team to identify patterns, anomalies, opportunities for improvement, leveraging conversation analysis methodologies
  • Partner closely with Annotation Lead to review and optimize training data
  • Collaborate with Machine Learning engineers, data scientists and developers to integrate linguistic principles into development
  • Develop and maintain documentation on Natural Language Understanding processes, guidelines and best practices
  • Manage a team of linguists and conversation analysts
Required Qualifications , Capabilities, and Skills
  • 5+ years of experience or equivalent expertise in product management or a relevant domain area
  • Advanced knowledge of the product development life cycle, design, and data analytics
  • Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • 5+ years of experience in Natural Language Understanding and Natural Language Programming, specifically within the context of chatbot development or related AI applications.
  • Excellent analytical and problem‑solving skills.
Preferred Qualifications , Capabilities, and Skills
  • Demonstrated prior experience working in a highly matrixed, complex organization
  • Master’s or PhD in computational Linguistics, Data Science or related fields.
Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation may be awarded in recognition of individual achievements and…

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