Senior AI Capabilities Product Manager

Mission

JPMorgan Chase Global Security is expanding its use of AI-enabled capabilities to strengthen security operations and risk management across the firm. In this role you will support the Product Manager and work across functions to connect user needs, risk considerations, and technical constraints, translating strategic priorities into practical product delivery in a complex, regulated environment. You will help shape the playbook, not just inherit it.

Beyond delivery this role carries a responsibility to build the human foundation that makes AI successful. You will educate rather than just inform, partner rather than just coordinate, and shape how the organization thinks about AI with intentionality applied to the product roadmap. The ideal candidate is comfortable running a capability demo for a skeptical operations team as well as writing acceptance criteria with an engineering squad.

They lead through credibility and conviction, able to bring along engineers, operators, and stakeholders who may not share the same priorities or risk tolerance.

We look for someone who sees AI not as a feature to ship, but as a capability to grow across the platform, the team, and the organization. That requires intellectual curiosity, a genuine comfort with iteration, and the ability to help others build confidence in rapidly evolving technology.

• Support the Product Manager in taking AI capabilities from concept to production, including identifying new product opportunities through user research, discovery, journey mapping, market analysis, and ensuring roadmap recommendations reflect customer needs and broader market trends.
• Set delivery standards by translating platform initiatives into clear user stories (acceptance criteria, sequencing, dependencies) and supporting alignment with other Product Delivery Managers.
• Support the delivery lifecycle with strong release discipline, ensuring responsible AI guardrails such as data readiness, evaluation gates, deployment and rollback plans, production monitoring, and incident management.
• Coordinate delivery of core platform artifacts (architecture, integrations, MLOps foundations, UX standards) with technology teams.
• Support release decisions through UAT, outcome verification, and defect triage, backed by clear metrics, thorough documentation, and regular stakeholder updates.
• Build AI literacy across Global Security through practical enablement—onboarding guides, explainer sessions, hands‑on demos—that help operations teams use and critically assess AI outputs.
• Foster a culture of experimentation by encouraging iteration, sharing lessons learned, and creating space for teams to engage critically with new capabilities.

• 3+ years of experience or equivalent expertise in product management or technical project delivery.
• Hands‑on experience with applied AI products, including GenAI, NLP and automation.
• Proficiency across the full product lifecycle, with experience in Agile/Scrum and SAFe, backlog management, sprint planning, and knowledge of Jira and Confluence.
• Experience driving adoption through change management, enablement, and post-launch measurement.
• Ability to translate complex technical concepts into clear, actionable requirements for non-technical stakeholders, including operations leaders and executive management, and to influence priorities across teams without direct authority.
• Strong foundation in data analytics, with ability to interpret and communicate data‑driven insights.

• Experience delivering AI products in complex, regulated environments, balancing risk, data governance, and audit needs with speed.
• Experience supporting AI/ML-enabled products through deployment, production monitoring, and iterative improvement.
• Knowledge of AI evaluation methods, prompt design, and responsible release practices.
• Working knowledge of modern data platforms, APIs and cloud environments such as Databricks, Snowflake, AWS or Azure.
• Proficiency in SQL and Python, with hands‑on experience in BI and analytics tools such as Qlik, Tableau, Sigma, Power…