Product Manager, Machine Learning and Optimization

JPMorgan Chase & Co.•New York, NY

About The Position

As a Product Manager in the Machine Learning and Optimization team within Chase Digital, 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. You are a NLP/ML expert with knowledge of deep learning and traditional NLP approaches, sound experimentation and have built state-of-the-art scalable systems. 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.

Requirements

MS/PhD in Computer Science or relevant field, or MBA
5+ years of experience or equivalent expertise in product management or a relevant domain area
Expert-level NLP and Machine learning experience, specifically in deep learning, LLMs, agentic systems and machine learning
Experience in building large-scale AI systems
Experience in leading cross-functional teams to deliver results to stakeholders
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
Excellent communication skills and stakeholder management skills

Nice To Haves

Publications in AI/ML/NLP conferences and/or patents
Experience with Agile methodologies, and leading agile scrum teams
Jira experience including epic creation, sprint planning, and other sprint ceremonies
Demonstrated prior experience working in a highly matrixed, complex organization
Experience with system design, scaling and deployment
Familiarity with responsible AI
Familiarity with Python, Java, Pytorch, building agents, AI assurance

Responsibilities

Develops a ML/AI product strategy and product vision that delivers value to customers
Leads AI/ML/NLP projects from concept to delivery, by bringing together ML engineers, software developers, data scientists and designers
Leads AI innovation by incorporating the latest advances in Gen AI, agentic systems, LLMs, Deep learning and NLP into the Chase Agent and conversational AI products
Creates and tracks conversational AI metrics in close collaboration with data science teams
Collaborates closely with computational linguists and data annotation teams to create and validate high quality conversational data for training and evaluating ML system
Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
Owns, maintains, and develops a product backlog that enables development
Executes on the product roadmap by creating epics on Jira, leading agile scrum teams, following agile methodology maintaining clean agility metrics
Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability and communicates the same to key stakeholders.