JPMorganChase Logo

JPMorganChase

Product Director - AI Infrastructure Platforms (On-Prem)

Posted An Hour Ago
Be an Early Applicant
Hybrid
Seattle, WA
Senior level
Hybrid
Seattle, WA
Senior level
Leads the vision, strategy, roadmap, lifecycle, adoption, and business growth of an enterprise AI infrastructure platform spanning on-premises, cloud, edge, and hybrid environments. Oversees inferencing capabilities, hardware investments, vendor strategy, market analysis, stakeholder alignment, risk management, and go-to-market execution. The role requires deep expertise in GPUs, high-performance computing, networking, storage, orchestration, AI Factory architectures, financial modeling, and regulated enterprise environments.
The summary above was generated by AI

Ignite your passion for product innovation by leading customer-centric development, inspiring solutions, and shaping the future with your strategic vision and influence.

As a Product Director in AI Infrastructure Platforms, you lead innovation through the development of products and features that delight customers. As a leader on the team, you leverage your advanced capabilities to challenge traditional approaches, remove barriers to success, and foster a culture of continuous innovation that helps inspire cross-functional teams create groundbreaking solutions that address customer needs.  you will set the vision, strategy, and direction for the platform's inferencing product area. The platform is an integrated suite of specialized AI infrastructure for model training, inference, and experimentation—consisting of compute, storage, network, and management services—with offerings that span public cloud, on-premises, Neo Cloud, and edge. You will define and deliver the go-to-market strategy, drive platform adoption across lines of business, and advance product capabilities toward an enterprise-scale AI Factory.  Success in this role requires navigating rapid AI hardware evolution, complex multi-vendor ecosystems, and the regulatory demands of a highly regulated global financial institution—delivering infrastructure for high-value AI use cases.


Job responsibilities 

  • Oversees the product roadmap, vision, development, execution, risk management, and business growth targets 
  • Leads the entire product life cycle through planning, execution, and future development by continuously adapting, developing new products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth 
  • Coaches and mentors the product team on best practices, such as solution generation, market research, storyboarding, mind-mapping, prototyping methods, product adoption strategies, and product delivery, enabling them to effectively deliver on objectives 
  • Owns product performance and is accountable for investing in enhancements to achieve business objectives 
  • Monitors market trends, conducts competitive analysis, and identifies opportunities for product differentiation 
  • Own the product area vision, strategy, roadmap, execution, and business growth targets—with a strategic mandate to mature the platform toward an enterprise-scale AI Factory
  • Maximize returns on hardware capital investments spanning compute, accelerator, storage, networking, and orchestration layers—with direct accountability for driving platform adoption and utilization to realize the full value of the firm's AI infrastructure commitments
  • Serve as the key decision-maker for product prioritization and strategic direction across the AI Infrastructure product area—balancing competing demands, investment tradeoffs, and delivery sequencing across multiple products
  • Cultivate and manage senior stakeholder relationships to ensure alignment on vision, strategy, roadmap, and scope across the AI Infrastructure product area
  • Analyze market trends and interpret competitive signals to inform investment decisions, drive capital allocation, and direct vendor strategy across hyperscale providers (e.g. AWS, Azure, GCP), Neo Clouds (e.g. CoreWeave, Lambda Labs, Fluidstack, Runpod), edge platforms (e.g. Nvidia Jetson, HPE Edgeline, Dell Edge Gateway), and serverless GPU providers (e.g. Baseten, Together AI, Fireworks, Nebius)
  • Identify and prioritize target market segments, qualify demand signals, and align product capabilities to address unmet customer needs across lines of business

Required qualifications, capabilities, and skills 

  • 8+ years of experience or equivalent expertise delivering products, projects, or technology applications 
  • Extensive knowledge of the product development life cycle, technical design, and data analytics 
  • Proven ability to influence the adoption of key product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management 
  • Experience driving change within organizations and managing stakeholders across multiple functions 
  • Extensive experience in high-performance compute, GPU-accelerated, data center, or AI infrastructure
  • Deep knowledge of the AI infrastructure stack across compute, accelerators, high-speed interconnects, networking, storage, and orchestration layers—with experience across technologies such as Nvidia GPUs (B200, H100, A100), InfiniBand, Spectrum-X, Arista, DataDirect Networks (DDN), VAST Data, and Kubernetes
  • Understanding of how the AI infrastructure stack is integrated within AI Factory reference architectures and how architectural decisions impact performance, cost, and scalability at enterprise scale
  • Drive alignment across engineering, security, compliance, and lines of business to deliver capabilities at business speed without compromising security or regulatory compliance
  • Build and clearly communicate AI infrastructure investment cases, including TCO analysis, depreciation planning, and ROI modeling across on-prem, cloud, and hybrid deployments
  • Build consensus and secure commitment to action across senior leadership on high-stakes technology and investment decisions
  • Position AI infrastructure as a strategic enterprise asset, with a credible investment thesis and product roadmap progressing toward AI Factory–scale operations

Preferred qualifications, capabilities, and skills 

  • Recognized thought leader within a related field 
  • Advanced degree in Computer Science, Engineering, or related field; MBA or equivalent preferred
  • 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
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the TeamOur professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

JPMorganChase London, England Office

25 Bank Street, Canary Wharf, London, United Kingdom, E14 5JP

Similar Jobs

17 Minutes Ago
Remote or Hybrid
Entry level
Entry level
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Provides business-to-business client support by answering inquiries, resolving issues, fulfilling requests, managing workflows, navigating databases, and maintaining strong customer relationships. The role requires accurate multitasking, process-improvement awareness, effective communication, and proficiency with Microsoft Office. Representatives also identify opportunities to retain and grow existing client business through outstanding service.
Top Skills: ExcelMS OfficeMicrosoft WordSalesforce
30 Minutes Ago
In-Office
Mid level
Mid level
eCommerce • Fintech • Payments • Software • Financial Services
Designs and implements enterprise security strategies for corporate infrastructure. Responsibilities include security architecture reviews, risk assessments, threat modeling, security standards and policies, security tooling, endpoint and cloud security, identity and SSO management, vulnerability management, compliance reporting, and collaboration with IT teams on migrations and integrations.
Top Skills: AWSCi/CdCrowdstrike FalconEdrGoogle Cloud PlatformLinuxmacOSAzurePrisma CloudQualysguardSsoWindowsWiz
39 Minutes Ago
In-Office
Mid level
Mid level
Other • Utilities
Build and maintain technical systems supporting T-Mobile’s compensation operations. Responsibilities include developing workflow platforms, AI-enabled natural-language and retrieval applications, governed data pipelines, enterprise integrations, audit trails, approval flows, and reporting capabilities. The role also diagnoses cross-system issues and translates compensation logic into scalable, auditable technical solutions while collaborating with compensation, HR technology, and business stakeholders.
Top Skills: Agentic WorkflowsAPIsLlmPower BIPythonRetrieval-Augmented Generation (Rag)SQLWorkday

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account