Head of Customer & Field Learning (AI)

Location: Remote (United States)

Company

hirify.global provides identity and access management, authentication, lifecycle management, and identity governance solutions for organizations across financial services, healthcare, energy, technology services, and other industries.

What you will do

• Build AI-enabled learning programs that improve capability, confidence, product adoption, and performance.
• Design role-based learning paths for Sales, Customer Success, Support, Services, Partners, and Customers.
• Use AI to improve practice, coaching, reinforcement, knowledge access, and adoption.
• Translate complex products and customer strategies into practical learning experiences.
• Create measurement systems that assess learning, application, behavior change, and impact.
• Partner with Product, Marketing, Sales, Customer Success, Support, Services, and Operations.

Requirements

• Experience in customer education, learning design, enablement, adoption, instructional design, or performance improvement.
• Hands-on interest in AI and its use in learning, coaching, content, and workflows.
• Strong understanding of adult learning, retention, practice, and behavior change.
• Ability to simplify complex ideas into clear and useful learning experiences.
• Strong measurement mindset focused on behavior and impact beyond completion rates.
• Must be legally authorized to work in the United States.

Nice to have

• Experience with AI-enabled learning tools, convehirify.globaltional AI, prompt engineering, or workflow automation.
• Background in product engagement, customer success enablement, partner or customer onboarding, teaching, coaching, facilitation, or adult learning.

Culture & Benefits

• Full-time US employees are eligible for flexible paid time off, health, disability, and life insurance.
• Eligible US employees receive access to a 401(k) retirement plan with company matching contributions.
• Sales team members may participate in company commission plans.
• Non-Sales US employees may be eligible for annual discretionary bonuses based on prior-year company performance.
• Work focuses on experimentation, prototyping, continuous improvement, and measurable learning outcomes.