Product Manager

Job Title: Product Manager
Location: 1600 7th Avenue, Seattle, WA 98101
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Hybrid
Shift Timings: 08:00 AM To 05:00 PM

Job Description:

• This role needs to be AI-forward.
• Specifically - Claude-certified, confident with mass communication at enterprise scale, and experienced rolling out software to large user populations.
• Those aren't nice-to-haves.
• The rollout and enablement work we're doing lives or dies on someone who can communicate broadly and drive adoption, not just manage a backlog.
• Worth writing into the req so we attract the right profile rather than filtering for it after the fact.

Drive the AI Enablement Training Program with domain-specific partners:

• Run use case discovery with program partners and end users in assigned domains.
• Document top use cases by job profile.
• Design domain training: curricula, modules, demo scenarios, exercises, and reference guides.
• Build train-the-trainer materials and coach program partners to deliver them.
• Deliver domain sessions directly when program partner capacity is insufficient.
• Identify candidate domain skills and connector needs.
• Route connector requests to AI Enablement engineering.
• Define per-domain success metrics with program partners.
• Track training completion and collect documented productivity wins.
• Update domain materials when Claude features change.
• Hand off all materials to program partners before contract end.

Skills:

Required:

• 3+ years of product management experience.
• 1+ years designing and delivering enterprise training or enablement programs for non-technical audiences.
• Experience running user research interviews and translating findings into requirements.
• Hands-on experience using generative AI tools in business workflows.
• Experience presenting to director and VP audiences.

Preferred:

• Retail or ecommerce experience in one or more assigned domains.
• Experience producing video or self-paced learning content.
• Experience with a learning management system.

Education:

Preferred:

• Bachelor's degree in math, statistics, finance, economics, or another quantitative field.

Alternatively:

• Bachelor's degree in business, communications, education, instructional design, or a related field, or equivalent practical experience.