About The Position

The Director, AI Product Manager - Low Code is responsible for building and scaling AI products in approved low-code environments so business and functional teams can address well-defined problems, improve workflows, and achieve measurable business outcomes. The role identifies valuable opportunities, leads discovery and validation, and translates business needs into configurable AI agents, insights, automations, and workflows that business teams can adopt and manage with appropriate governance and support. The position focuses on business problem discovery, product strategy, value framing, and adoption. The Director partners with business and functional teams to understand goals and workflows, test assumptions, and shape practical, intuitive, valuable low-code AI products. Digital Product teams may use these products in broader offerings and remain accountable for the delivery and lifecycle of capabilities embedded in their products and portfolios. Working across EJ Labs, Product Management, Experience, Data, Engineering, Architecture, Risk, Cybersecurity, and Compliance, the Director ensures products use approved enterprise services and meet applicable standards. The role uses foundational AI platform capabilities rather than developing them, and does not lead custom model development, pro-code AI applications, or underlying infrastructure and engineering services. The Director owns the strategy, prioritization, user experience, adoption, business performance, and lifecycle of low-code AI products. Business and functional teams remain accountable for the processes, decisions, and outcomes enabled by those products. AI Platform, Engineering, Data, and other technical teams retain accountability for foundational services, custom integrations, pro-code components, models, infrastructure, and technical operations.

Requirements

  • Bachelor's degree or equivalent experience in product management, business, technology, design, engineering, or a related field.
  • 7–10+ years of product management experience, including product discovery, validation, prioritization, delivery, adoption, and lifecycle management.
  • Experience building digital products, workflow solutions, automations, or AI-enabled products in low-code environments.
  • Demonstrated ability to translate business processes and user needs into configurable product solutions.
  • Working knowledge of generative AI, AI agents, workflow automation, knowledge grounding, integrations, and human-in-the-loop design.
  • Experience defining and using business, adoption, quality, and operational measures to guide product decisions.
  • Understanding of responsible AI, data protection, risk management, regulatory expectations, and governance in an enterprise environment.
  • Ability to work effectively across business, product, experience, data, engineering, architecture, risk, cybersecurity, and compliance teams.
  • Experience supporting product adoption and helping business teams change established ways of working.
  • Ability to communicate product strategy, tradeoffs, progress, risks, and outcomes to senior stakeholders.

Nice To Haves

  • Master's degree in artificial intelligence, product management, business, technology, or a related field.
  • Experience with enterprise low-code AI, agent, workflow, and automation environments.
  • Experience delivering AI-enabled products in financial services or another regulated industry.
  • Familiarity with reusable agent, workflow, prompt, knowledge, connector, and solution patterns.
  • Experience establishing governance and lifecycle practices for business-facing low-code solutions.
  • Understanding of when a use case is appropriate for low-code delivery versus pro-code engineering, custom integration, or custom model development.
  • Experience leading and developing product managers or multidisciplinary product teams.

Responsibilities

  • Set the product vision, strategy, and roadmap for low-code AI products addressing priority business and functional needs.
  • Partner with business teams to identify valuable use cases, understand workflows, validate assumptions, and define measurable outcomes.
  • Translate business needs into product requirements for configurable low-code AI agents, insights, automations, and workflows.
  • Lead discovery, design, testing, launch, adoption, and continuous improvement of low-code AI products.
  • Create reusable low-code solution patterns and product components for needs shared across business teams.
  • Prioritize the low-code AI product portfolio based on business value, user need, feasibility, risk, reuse potential, and organizational readiness.
  • Define and track measures for business impact, user adoption, workflow improvement, product quality, and responsible use.
  • Ensure products are practical and intuitive for business users, with appropriate human oversight, escalation paths, and operational guidance.
  • Develop adoption and enablement approaches to help business teams incorporate low-code AI products into their work.
  • Partner with AI Platform, Engineering, Data, Architecture, Cybersecurity, Risk, and Compliance teams to integrate approved enterprise capabilities and meet applicable standards.
  • Establish boundaries between use cases suitable for low-code delivery and those requiring pro-code engineering, custom integrations, or custom model development.
  • Monitor product performance and user feedback, coordinate refinements, and work with technical owners to resolve platform, integration, data, or model dependencies.
  • Communicate product priorities, decisions, progress, risks, outcomes, and dependencies to business and technology stakeholders.
  • Lead and develop product leaders responsible for low-code AI product areas, reinforcing disciplined discovery, outcome ownership, responsible AI practices, and clear decision rights.
  • Align product leaders and delivery partners around shared priorities, capacity, dependencies, and outcomes across the low-code AI product portfolio.

Benefits

  • Medical and prescription drug coverage
  • Dental insurance
  • Vision insurance
  • Voluntary benefits, including accident, hospital indemnity, and critical illness coverage
  • Short- and long-term disability coverage at no cost to associates
  • Basic life and basic AD&D coverage at no cost to associates
  • 401(k) retirement plan
  • Health savings account
  • Flexible spending account
  • Ten paid holidays
  • 15 days of vacation for new associates beginning on January 1 of each year
  • Sick time
  • Personal days
  • Paid day for volunteerism
  • Associates may be eligible for bonuses and profit sharing
  • Employee Assistance Program
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