Join us to shape the future of AI and autonomous agents, solving mission-critical challenges for the world’s largest bank. You’ll have the opportunity to own impactful use cases from discovery through delivery, collaborating with talented teams across data science, engineering, and business. We value innovation, accountability, and continuous improvement, your work will directly influence how bankers operate every day. Experience career growth, meaningful responsibility, and the chance to make a lasting difference.
As an AI Product Manager – Autonomous Agents in our AI & Agentic Systems team, you will drive the design, development, and reliability of production-grade agentic solutions. You will partner with stakeholders to translate business needs into scalable AI workflows, ensuring performance, safety, and compliance. Your role will empower you to lead projects from pilot to production, fostering a culture of innovation and collaboration.
Job Responsibilities:
- Define product requirements, features, and roadmap components for AI use cases
- Lead end-to-end delivery from pilot through production, owning agent behavior and autonomy boundaries
- Build and extend agents and supporting infrastructure, including services, APIs, and integrations
- Drive model validation, performance monitoring, drift detection, and iterative improvement
- Manage backlog prioritization, sprint planning, and delivery tracking
- Partner with stakeholders to identify opportunities for AI-driven efficiency or revenue growth
- Run user feedback sessions and incorporate insights into product enhancements
- Define success metrics and measure business impact, including reliability, adoption, and reuse
- Ensure alignment with data governance, compliance, and risk standards
- Collaborate across Engineering, Data Science, Controls, and business teams
Required Qualifications, Capabilities, and Skills:
- Expertise in product management, data products, or technology delivery
- Experience shipping LLM-powered, autonomous, or agentic systems to production
- Ability to design and run evaluations for agentic systems, reasoning about probabilistic behavior and drift
- Strong understanding of the AI/ML lifecycle (training, validation, deployment, monitoring)
- Knowledge of production-grade data judgment, pipeline stability, and quality propagation
- Experience building infrastructure and integrations, with proficiency in architecture, APIs, and data pipelines
- Strong communication and stakeholder-management skills
- Comfort operating within a large, regulated institution with governance and controls
- Ability to ship AI-enabled products and lead complex programs in matrixed organizations
Preferred Qualifications, Capabilities, and Skills:
- Previous experience in commercial and investment banking
- Familiarity with net-new infrastructure development
- Experience with cross-functional teams in large organizations
- Demonstrated ability to drive business impact through AI solutions
- Knowledge of data governance and compliance standards
- Experience with user feedback and iterative product improvement
- Ability to measure and report on business impact and adoption