Sr. AI Product Manager

Hyundai Capital • Irvine, CA

1d • Hybrid

About The Position

The Sr. AI Product Manager independently manages the lifecycle of assigned complex AI products, translating business needs into product priorities, requirements, and delivery plans. The role develops and maintains product roadmaps within established business and technology strategy, makes product decisions within its assigned scope, and leads cross-functional delivery to achieve measurable business outcomes. In partnership with architecture, engineering, data, UX, and risk teams, the role drives product quality, adoption, and continuous improvement while meeting established governance and compliance requirements.

The position owns product strategy and delivery for assigned AI products, including evaluating use cases such as GenAI copilots, intelligent automation, and decisioning. It defines product-level evaluation measures and release criteria, uses evaluation results and product telemetry to guide release and improvement decisions, and coordinates cross-functional launch, adoption, and change-management activities. The role also incorporates AI governance, privacy, security, and Responsible AI requirements throughout the product lifecycle.

Requirements

• At least 8 years of progressive product management experience in enterprise software, data products, or platforms, including independent ownership of complex products through launch and ongoing improvement.
• Experience delivering AI/ML, GenAI, or advanced analytics products, including defining requirements, evaluating product performance, and coordinating release readiness.
• Experience leading cross-functional product initiatives in Agile environments, including roadmap development, backlog prioritization, and management of competing requirements and dependencies.
• Experience working in regulated environments.
• Bachelor’s degree in Business, Finance, Information Systems, Computer Science, Data Science, or a related field.
• Strong knowledge of product lifecycle management, roadmap development, requirements definition, backlog prioritization, and Agile delivery.
• Ability to independently assess complex product issues, evaluate business value, feasibility, cost, and risk, and make prioritization decisions within assigned authority.
• Practical knowledge of GenAI concepts, including large language models, retrieval-augmented generation, prompt systems, and agents, and their application to business needs.
• Working knowledge of AI/ML evaluation, deployment, monitoring, and cloud AI ecosystems sufficient to assess product implications with technical partners.
• Ability to define success measures and interpret evaluation results, telemetry, adoption trends, and user feedback to guide product improvements.
• Strong cross-functional influence and communication skills, including the ability to resolve competing priorities, manage dependencies, and present recommendations to leadership.
• Knowledge of AI governance, privacy, security, and Responsible AI practices, including fairness, explainability, and auditability.

Nice To Haves

• Experience in the automotive or financial services industries.
• MBA or advanced degree in a relevant business or technical field.

Responsibilities

• Manage assigned complex AI products from requirements definition through release and ongoing improvement.
• Translate business needs into product requirements, user stories, acceptance criteria, and measurable success criteria.
• Own and prioritize product backlogs, balancing business value, user needs, technical dependencies, risk, and delivery capacity.
• Make product decisions on scope, sequencing, and delivery trade-offs within assigned authority, and clarify direction for engineering teams.
• Lead release planning, stakeholder demonstrations, and rollout readiness with business and technical teams.
• Develop and maintain product roadmaps within established business and technology strategy.
• Evaluate and prioritize AI use cases based on business value, feasibility, risk, and cost.
• Establish product milestones, dependencies, and outcome measures, adjusting roadmap recommendations as needs and product performance evolve.
• Balance new capabilities with product stability, scalability, operational efficiency, and cost control.
• Define product scope and requirements with architecture, engineering, and data teams, considering approaches such as retrieval-augmented generation, agents, and model selection.
• Establish product-level evaluation measures and release criteria with technical and governance partners, incorporating approved AI guardrails.
• Assess evaluation results and recommend release readiness based on task success, grounded-response rates, and identified product limitations.
• Use telemetry, user feedback, and experimentation to identify performance issues and prioritize product improvements.
• Lead alignment across business, engineering, data, UX, and governance stakeholders on product priorities, requirements, and delivery commitments.
• Resolve competing requirements and manage cross-team dependencies; escalate scope, resource, or risk decisions beyond assigned authority.
• Partner with Legal, Security, Compliance, and Risk on requirements and issues affecting responsible AI implementation.
• Communicate product progress, decisions, dependencies, and risks to stakeholders and leadership.
• Lead launch, enablement, and change-management planning for assigned AI products with business and delivery partners.
• Work with UX, training, and business teams to address adoption barriers through user-experience improvements, training, and communications.
• Establish and monitor adoption and business-outcome measures, including usage, task success, and operational effectiveness.
• Translate adoption trends and stakeholder feedback into recommended actions and product backlog priorities.
• Incorporate established AI governance, privacy, security, and Responsible AI requirements into product requirements and delivery plans.
• Partner with technical and risk teams to address applicable fairness, explainability, and auditability requirements throughout the product lifecycle.
• Prepare product documentation and readiness evidence, address governance review findings, and coordinate required approvals before release.

Benefits

• Hybrid flexibility: 4 days onsite and 1 day remote.
• Monthly vehicle allowance, plus vehicle purchase and lease discounts.
• Medical, dental, and vision plans.
• Employer-funded HSA contributions.
• 401(k) with company match and immediate vesting from day one.
• 100% company-paid life and disability insurance.
• Wellbeing benefits, including fitness and health resources.
• Leadership programs and career development supporting continuous learning.
• Paid Volunteer Time Off.
• Company charitable donation in the employee’s honor.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior