Shape the future of AI Infrastructure Platform products that power AI at JPMorganChase.
As a Product Manager in AI Infrastructure Platforms at JPMorganChase, you will lead the strategy and delivery of AI Infrastructure Platform products that enable model training, inference, and experimentation across the firm. You will define the vision for emerging platform capabilities, steer products from concept through launch, and ensure that development priorities are driven by customer needs and measurable business impact.
Job Responsibilities
- Develop and own the product vision, strategy, and roadmap for one or more AI Infrastructure Platform products, ensuring alignment with customer needs and business objectives.
- Lead discovery efforts and conduct market research to identify and qualify customer solutions, integrating findings into the product roadmap and value proposition.
- Act as the voice of the customer by gathering and synthesizing feedback to inform product enhancements and ensure exceptional client experiences.
- Own, maintain, and prioritize the product backlog, enabling development teams to deliver on strategic objectives and maximize product value.
- Collaborate closely with engineering, security, compliance, and business stakeholders to deliver high-quality, secure, and compliant AI infrastructure capabilities.
- Build frameworks and track key product success metrics, including cost, feature/functionality, risk posture, reliability, and adoption.
- Support go-to-market strategies, enablement, and adoption services to drive platform utilization across lines of business.
- Manage vendor relationships in partnership with engineering, including evaluation, contract negotiation, and issue resolution.
- Ensure product compliance with relevant security controls, regulatory, and legal requirements.
- Identify and mitigate product risks, and develop strategies to address them.
- Continuously monitor product performance metrics and make data-driven decisions for ongoing improvements.
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 lifecycle activities including discovery, ideation, strategic development, requirements definition, and value management.
- Experience developing and executing product strategies and roadmaps for complex technology products.
- Strong analytical, problem-solving, and decision-making skills.
- Excellent communication and stakeholder management abilities, with a track record of building consensus across cross-functional teams.
- Demonstrated ability to manage product performance metrics and deliver measurable business value.
- Ability to translate customer needs, market trends, and emerging technologies into actionable product strategies.
- Experience qualifying demand signals, prioritizing investment, and balancing competing requirements.
- Strong commitment to scalability, resiliency, and stability in product delivery.
- Ability to foster a culture of innovation, collaboration, and continuous improvement within the product team.
Preferred Qualifications, Capabilities, and Skills
- Advanced degree in Computer Science, Engineering, or related field; MBA or equivalent preferred.
- Experience working in a highly matrixed, complex organization.
- Background in technical product management within the AI infrastructure ecosystem—including infrastructure vendors, cloud providers, and system integrators—or within highly regulated industries such as financial services or healthcare.
- Familiarity with AI infrastructure stack components (e.g., GPU compute, high-speed interconnects, scalable storage, cluster orchestration) and their integration within enterprise-scale environments.
- Understanding of security and compliance requirements for AI infrastructure across on-prem, cloud, and hybrid environments.