
Machine Learning and Optimization, Conversational AI, Product Manager- VP
JPMorganChase · New York, NY
- On site
- Full-time
- $250,000 / year
- New York, NY
Job highlights
- Lead ML/AI product strategy and vision.
- Drive AI innovation with LLMs and Gen AI.
- Manage AI/ML/NLP projects end-to-end.
- Develop profitable products and customer value.
- Collaborate with cross-functional teams on launches.
About the role
Product Manager - Machine Learning and Optimization, Conversational AI
Be a leader committed to understanding customer needs with your advanced knowledge of product development, design, and data analytics. 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 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 an 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.
Job 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 conversational AI product.
- 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 systems.
- 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.
Required Qualifications, Capabilities, And Skills
- 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.
Preferred Qualifications, Capabilities, And Skills
- 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, LLM prompting, Agentic systems.
About Us
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About The Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm’s data sharing principles of security, customer control and convenience, and privacy.
Key skills/competency
- Product Management
- Machine Learning
- Conversational AI
- NLP
- Deep Learning
- LLMs
- Agile Methodologies
- Cross-functional Team Leadership
- Data Analytics
- Product Strategy
Skills & topics
- Product Manager
- Machine Learning
- Conversational AI
- NLP
- Deep Learning
- LLMs
- Gen AI
- Agile
- Jira
- Data Analytics
- Product Strategy
- VP
How to get hired
- Tailor your resume: Highlight ML, NLP, and product management experience.
- Showcase AI innovation: Detail experience with LLMs, Gen AI, and scalable systems.
- Emphasize leadership: Demonstrate success leading cross-functional teams.
- Quantify impact: Use metrics to show product value and success.
- Prepare for interviews: Be ready to discuss product strategy and AI concepts.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key technologies for the VP Product Manager Machine Learning and Conversational AI role at JPMorgan Chase?
- The VP Product Manager role at JPMorgan Chase focuses on Machine Learning, Conversational AI, NLP, Deep Learning, LLMs, and Gen AI. Experience with Python, Java, and Pytorch is also beneficial.
- What educational background is required for the VP Product Manager Machine Learning and Conversational AI position at JPMorgan Chase?
- A Master's or PhD in Computer Science or a related field, or an MBA, is required. Significant product management experience can also be considered.
- How does JPMorgan Chase approach product development for AI and ML initiatives?
- JPMorgan Chase emphasizes a customer-centric approach, developing profitable products with clear value. They lead AI/ML/NLP projects from concept to delivery, incorporating the latest advances and ensuring scalability and reliability.
- What is the typical career progression for a Product Manager at JPMorgan Chase?
- Career progression can lead to senior leadership roles, such as VP Product Manager, or specialization within AI/ML domains. The company supports growth through diverse projects and continuous learning opportunities.
- How important is experience with Agile methodologies for this Product Manager role at JPMorgan Chase?
- Experience with Agile methodologies and leading agile scrum teams is highly preferred. Familiarity with Jira for epic creation and sprint planning is also advantageous for this role.
- Does JPMorgan Chase encourage innovation in AI and ML for their digital products?
- Yes, JPMorgan Chase actively encourages innovation in AI and ML. This role specifically involves incorporating the latest advances in Gen AI, agentic systems, LLMs, and NLP into conversational AI products.
- What kind of impact can a VP Product Manager have at JPMorgan Chase?
- A VP Product Manager at JPMorgan Chase can significantly impact product innovation, customer value, and the company's competitive edge in financial services through advanced AI and ML solutions.