AI Product Manager

Hyundai CapitalIrvine, CA
Hybrid

About The Position

The AI Product Manager is responsible for executing roadmap priorities and delivery for assigned AI products and experiences. This role manages the 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).

Requirements

  • 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.
  • Bachelor’s degree in Finance, Business or related field.
  • Demonstrated ability to support delivery of complex, cross-functional products in enterprise environments.
  • Strong experience with product frameworks (PRDs, backlog, OKRs, KPIs, Agile delivery).
  • Hands-on experience with GenAI concepts such as LLMs, RAG, prompt systems, or agents.
  • Familiarity with AI/ML lifecycle (model evaluation, deployment, and monitoring).
  • Experience working in regulated environments (financial services, healthcare, etc.).
  • Ability to work autonomously and in a team environment.
  • Strong verbal and written communication, including presentation skills.
  • Strong interpersonal skills to successfully collaborate with cross functional departments.
  • Strong orientation toward results coupled with reputation for integrity, creativity and good judgment.
  • Ability to question existing practices and recommend improvements when appropriate.

Nice To Haves

  • Automotive or financial services industries preferred.
  • MBA or advanced degree in a relevant field (Business, CS, Data Science) a plus.
  • Exposure to cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Vertex AI).

Responsibilities

  • 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.
  • 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).
  • 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.
  • 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.
  • 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).
  • 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.

Benefits

  • Hybrid flexibility – 4 days in office, 1 day remote
  • Vehicle perks – monthly vehicle allowance plus purchase and lease discounts
  • Comprehensive health coverage – medical, dental, and vision plans
  • Employer-funded HSA contributions to help reduce healthcare costs
  • 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 that support continuous learning
  • Paid Volunteer Time Off and a company charitable donation in your honor
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