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TM

Product Manager 2

Tailored Management
  • 🇺🇸 United States
  • Hybrid
  • Manager or above
  • 1 day ago
  • $56.33 – $63.38 / hour
  • AI
  • Machine Learning
  • Claude
  • User Research
  • Change Management
  • Instructional Design
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Job Title: Product Manager 2 – AI Enablement
Location: Seattle, WA 98101 - Hybrid (4 days onsite, 1 day remote)
Duration: 06month contract (with possible extension) 
Work Schedule: 40 hours per week, Monday–Friday, 8:00 AM–5:00 PM
Start Date: Targeting Nov 2026
Pay Rate: $56.33/hr - $63.38/hr on W2
Benefits: Medical, Dental, Vision.
 
Job Description:
Job Summary:
  • Nordstrom is seeking an AI-forward Product Manager 2 to lead its AI Enablement Training Program. This role will partner with business stakeholders and end users to identify AI use cases, develop domain-specific training programs, and drive enterprise-wide adoption of generative AI tools, particularly Claude.
  • The ideal candidate will combine product management expertise, hands-on generative AI experience, enterprise training and enablement capabilities, and strong communication skills. Experience with enterprise-scale software rollouts, mass communication, and driving adoption across large employee populations is essential.
Key Responsibilities:
  • Lead the AI Enablement Training Program in collaboration with domain-specific program partners and business stakeholders.
  • Conduct use case discovery sessions with program partners and end users, identifying and documenting high-priority AI use cases by job profile.
  • Design domain-specific training curricula, learning modules, demonstrations, exercises, and reference guides.
  • Develop train-the-trainer materials and coach program partners to deliver effective AI training.
  • Deliver training sessions directly when program partner capacity is insufficient.
  • Drive enterprise-scale software rollout, employee enablement, and adoption of AI tools.
  • Develop and execute mass communication strategies to engage large employee populations and promote AI adoption.
  • Communicate AI capabilities, use cases, and best practices to non-technical audiences.
  • Identify domain-specific skill requirements and connector needs, coordinating requests with the AI Enablement Engineering team.
  • Define success metrics with program partners, track training completion, and document measurable productivity improvements.
  • Update training materials as Claude features and capabilities evolve.
  • Ensure complete handover of training materials and documentation to program partners before the contract ends.
Required Qualifications:
  • Minimum 3 years of product management experience.
  • Minimum 1 year of experience designing and delivering enterprise training or enablement programs for non-technical audiences.
  • Claude certification and hands-on proficiency with Claude.
  • Practical experience using generative AI tools in business workflows.
  • Experience conducting user research interviews and translating findings into actionable requirements.
  • Experience supporting enterprise-scale software rollouts and driving adoption across large user populations.
  • Strong mass communication skills, including the ability to communicate effectively with large employee audiences.
  • Experience presenting to director-level and VP-level stakeholders.
  • Excellent stakeholder management, facilitation, and communication skills.
Preferred Qualifications:
  • Experience in retail or e-commerce across relevant business domains.
  • Experience creating video-based or self-paced learning content.
  • Experience working with a Learning Management System (LMS).
  • Experience in enterprise change management, technology adoption, or employee enablement initiatives.
Education:
  • A bachelor's degree in Mathematics, Statistics, Finance, Economics, or another quantitative field is preferred.
  • Alternatively, a bachelor's degree in Business, Communications, Education, Instructional Design, or a related field is acceptable. Equivalent practical experience may also be considered.
 
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Product Manager 2 · Tailored Management

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