AI Product Manager in Irvine, California

AI Product Manager

Hyundai Capital America (HCA) helps people move forward. Through Hyundai Motor Finance, Genesis Finance, and Kia Finance, we deliver innovative financing, leasing, and insurance solutions to more than 3 million customers and businesses nationwide. We're a company driven by growth, innovation, and people. At HCA, you'll find opportunities to build new skills, expand your career, and make a real impact-while working in a diverse, inclusive, and values-driven environment.

We're proud to support our communities through volunteerism, philanthropy, and engaged Employee Resource Groups. If you're looking for a fast-paced, collaborative workplace where your ideas matter, join us as we lead the future of financing freedom of movement.

The AI Product Manager is responsible for executing roadmap priorities and delivery for assigned AI products and experiences. This role manages execution of the product lifecycle for one or more AI products or use cases to convert business needs into product requirements and delivery plans to ensure adoption and operational success. This role translates business needs into product requirements and delivery plans, ensuring measurable outcomes, strong adoption, and safe, compliant operations.

The AI PM operates at the intersection of business, technology, and governance partnering cross-functionally with architecture, engineering, data, UX, and risk teams delivering production-grade AI products (including GenAI, agents, and ML-driven solutions).

How you will make an impact:

• Product Ownership & Delivery
• Manages execution of product lifecycle including PRDs, backlog management, sprints, and releases.
• Translate business requirements into clear product specifications (PRDs), user stories, and success metrics
• Manage prioritized backlog and sprint execution in partnership with engineering
• Drive release planning, stakeholder demos, and rollout readiness.

Product Strategy & Roadmap

• Support development of AI product vision, prioritize use cases, and execute against roadmap priorities aligned to business value.
• Identify and prioritize high-value AI use cases (e.g., GenAI copilots, intelligent automation, decisioning).
• Contribute to multi-quarter product roadmaps with clear milestones, dependencies, and success measures.
• Balance innovation (new capabilities) with operational scale (stability, efficiency, cost control).

AI / GenAI Product Execution

• Define AI solution scope in collaboration with Architects (RAG patterns, agents, model selection)
• Apply guardrails, evaluation metrics, and release criteria for AI products
• Ensure product quality through measurable KPIs such as task success, grounded response rates, and adoption metrics
• Continuously optimize product performance using telemetry, feedback loops, and experimentation

Cross-Functional Collaboration

• Partner with Engineering, Data, UX, Governance, and Business stakeholders to deliver end-to-end solutions
• Coordinate with Legal, Security, Compliance, and Risk for responsible AI implementation
• Serve as a key point of coordination for assigned product initiatives.

Adoption & Change Management

• Manage go-to-market, enablement, and change management for assigned products.
• Manage user adoption through UX improvements, training, and communication
• Track and report product performance and adoption metrics (usage, adoption, task success, and operational effectiveness).

Governance & Responsible AI

• Operate within established AI governance, privacy, and Responsible AI requirements
• Apply Responsible AI practices (fairness, explainability, auditability) throughout product development and release processes.
• Participate in governance reviews and release gates.

Qualifications

• Minimum 5-7 years' progressive product management experience with focus in enterprise software, data products, or platforms.
• Experience working on AI/ML, GenAI, or advanced analytics products.
• Automotive or financial services industries preferred.
• Bachelor's degree in Finance, Business or related field.
• MBA or advanced degree in a relevant field (Business, CS, Data Science) a plus.
• Demonstrated ability to support delivery of complex, cross-functional products in enterprise environments.
• Strong…