Product Director - AI Infrastructure Platforms

Drive the product strategy and delivery of enterprise‑grade AI infrastructure platforms that power model training, inference, and experimentation at JPMorganChase. As Product Director for AI Infrastructure Platforms, 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

• 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 utilisation to realise the full value of the firm’s AI infrastructure commitments.
• Serve as the key decision‑maker for product prioritisation and strategic direction across the AI Infrastructure product area—balancing competing demands, investment trade‑offs 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.
• Analyse 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 Edge‑line, Dell Edge Gateway) and serverless GPU providers (e.g. Baseten, Together AI, Fireworks, Nebius).
• Identify and prioritise target market segments, qualify demand signals and align product capabilities to address unmet customer needs across lines of business.
• Establish product metrics that quantify business value realisation—spanning investment performance, cohort adoption and platform utilisation.
• Lead and develop a team of Product Managers and Senior Product Associates, providing strategic guidance and ensuring effective execution across the product area.
• Lead cross‑functional teams and harness AI to drive efficiency and scalability in product management functions—enabling rapid prototyping, improving responsiveness to market demands and amplifying productivity across a complex, matrixed environment.

Required Qualifications, Capabilities and Skills

• 8+ years in technical product management or equivalent expertise delivering technology products at production scale.
• Extensive experience in high‑performance compute, GPU‑accelerated, data centre 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 modelling 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.
• Qualify demand signals, prioritise investments across competing lines of business and multiple products, and balance GPU capacity, compliance requirements and latency constraints.
• Anticipate rapid shifts in AI hardware (accelerator evolution, emerging architectures, changing workload patterns) and translate them into actionable product strategy.
• Own multi‑year capital plans and vendor ecosystems; bring AI Factory stack depth (hardware selection, distributed training/inference, workload portability) and ensure regulatory constraints and security/compliance controls are designed across on‑prem, cloud and hybrid.

Preferred Skills

• Advanced degree in Computer Science, Engineering or related field; MBA or equivalent preferred.
• Background in technical product management within the AI infrastructure ecosystem—incl. infrastructure vendors, cloud providers and system integrators—or within highly regulated industries such as financial services or healthcare.

Benefits

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 programmes to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centres, 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.

Equal Opportunity Employer

We recognise 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, colour, 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.

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

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