Product Manager - AI/ML Solutions
hackajob · New York, NY
- On site
- Full-time
- $150,000 / year
- New York, NY
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Subject: Interested in the Product Manager - AI/ML Solutions role at hackajob
Hi Jamie — I came across the Product Manager - AI/ML Solutions opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and hackajob stood out because…
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Job highlights
- Lead AI/ML platform strategy and delivery.
- Drive Databricks-based model experimentation.
- Manage product lifecycle end-to-end.
- Collaborate with data science and engineering.
- Ensure scalable and compliant AI/ML workflows.
About the role
Product Manager AI/ML Solutions
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.
Job Description
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 Data and Analytics, 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.
We are seeking a seasoned Product Manager to lead the strategy and delivery of a Databricks-based Model Experimentation Platform that enables scalable, secure, and compliant AI/ML development across Consumer & Community Banking. This role is critical to enabling scalable, secure, and compliant AI/ML workflows leveraging Databricks as the foundational technology. You will drive cross-functional collaboration, platform migrations, and product innovation to empower data scientists and engineers with best-in-class tools for feature engineering, model experimentation, and lifecycle management.
Job Responsibilities
- Develops a product strategy and product vision that delivers value to customers
- 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 to support the overall strategic roadmap and value proposition
- Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
- Drives the migration and integration of Databricks-based solutions, identifying dependencies, mitigating risks, and coordinating with cross-functional teams to ensure seamless execution.
- Collaborates with data science, engineering, architecture, and compliance teams to embed governance controls into product design and operations.
- Champions observability, monitoring, and operational resilience for AI/ML model experimentation workflows to ensure platform stability and reliability.
- Engages with internal customers and stakeholders to gather feedback, understand evolving needs, and translate them into actionable product enhancements.
- Leads vendor evaluation and selection processes related to model experimentation, ensuring alignment with strategic and compliance requirements.
- Communicates product vision, progress, and challenges transparently to senior leadership and critical partners, driving consensus and resource prioritization.
- Fosters a culture of innovation, continuous improvement, and collaboration across product, engineering, and architecture teams.
Required qualifications, capabilities, and skills
- 5+ years of experience or equivalent expertise in product management or a relevant domain area
- 3+ years leading product strategy and delivery for a large-scale Databricks-based AI/ML platform (e.g., model experimentation, MLflow, feature engineering, governance, and platform operations).
- 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
- Deep expertise in AI/ML platform capabilities, specifically feature stores, model experimentation, and lifecycle management.
- Strong hands-on knowledge of Databricks and its ecosystem, including experience with platform migrations and integrations.
- Proven track record of delivering enterprise-grade AI/ML solutions in highly regulated environments.
- Demonstrated ability to lead cross-functional teams in matrixed organizations, managing dependencies and mitigating risks effectively.
- Excellent communication skills with the ability to influence senior leadership and diverse stakeholders.
- Strong strategic thinking and customer-centric mindset, with a focus on scalability, security, and operational excellence.
- Experience with observability, monitoring, and governance frameworks for AI/ML workloads.
Preferred qualifications, capabilities, and skills
- Demonstrated prior experience working in a highly matrixed, complex organization
- Prior experience in financial services or similarly regulated industries.
- Knowledge of compliance frameworks related to AI/ML and data security.
- Strong understanding of market trends and emerging technologies in AI/ML infrastructure.
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 â all while ranking first in customer satisfaction.
Key skills/competency
- Product Strategy
- AI/ML Platforms
- Databricks
- Product Lifecycle Management
- Cross-functional Collaboration
- Customer Value
- Data Analytics
- Risk Mitigation
- Product Roadmap
- Stakeholder Management
Skills & topics
- Product Manager
- AI
- Machine Learning
- MLOps
- Databricks
- Platform Engineering
- Product Strategy
- Agile
- Data Science
- Financial Services
How to get hired
- Tailor your resume: Highlight AI/ML platform experience, Databricks expertise, and product leadership.
- Showcase impact: Quantify achievements in product strategy, launches, and customer value.
- Understand the role: Emphasize experience with model experimentation and regulated environments.
- Prepare for interviews: Be ready to discuss product vision, cross-functional collaboration, and technical challenges.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Product Manager AI/ML Solutions at J.P. Morgan?
- The Product Manager AI/ML Solutions at J.P. Morgan will lead the strategy and delivery of a Databricks-based Model Experimentation Platform. This involves developing product strategy, managing the product roadmap, collaborating with cross-functional teams like data science and engineering, and ensuring scalability, security, and compliance of AI/ML workflows.
- What specific experience is required for the Product Manager AI/ML Solutions role at J.P. Morgan?
- J.P. Morgan requires at least 5 years of product management experience, with a minimum of 3 years focused on leading product strategy and delivery for a large-scale Databricks-based AI/ML platform. This includes expertise in model experimentation, MLflow, feature engineering, governance, and platform operations within regulated environments.
- What technical skills are most important for this Product Manager role at J.P. Morgan?
- Strong hands-on knowledge of Databricks and its ecosystem is crucial, including experience with platform migrations and integrations. Deep expertise in AI/ML platform capabilities, feature stores, model experimentation, lifecycle management, observability, monitoring, and governance frameworks for AI/ML workloads are highly valued.
- How does J.P. Morgan approach diversity and inclusion for Product Manager AI/ML Solutions?
- J.P. Morgan is an equal opportunity employer valuing diversity and inclusion. They do not discriminate based on protected attributes and make reasonable accommodations for religious practices, beliefs, or disability needs. This commitment extends to all roles, including the Product Manager AI/ML Solutions position.
- What are the benefits of working as a Product Manager AI/ML Solutions at J.P. Morgan?
- J.P. Morgan offers a competitive total rewards package, including base salary, potential commission-based pay, and discretionary incentive compensation. Benefits include comprehensive health care, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching, among others.