Senior AI-Driven Partner Enablement Architect

Amazon

San Francisco (CA)

On-site

USD 159,000 - 215,000

Full time

5 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave
RSUs

Job summary

Amazon is seeking a Sr. Technical Enablement Lead to own the technical enablement strategy for eero's ISP and MSP partner ecosystem. The role focuses on developing scalable programs that drive partner activation, time-to-first-deployment, and subscriber satisfaction.

The position requires leading cross-functional teams, designing content for multiple modalities, and leveraging AI tools to optimize learning paths and partner health insights. Domestic and international travel (<15%) is expected.

Qualifications

  • Experience across cross-functional teams and communicating complex ideas to technical and non-technical audiences.
  • Experience designing programs that drive measurable outcomes (activation, retention, revenue).
  • Experience building enablement programs for B2B partners, ISPs, MSPs.
  • Experience leveraging AI/automation to scale program delivery.

Responsibilities

  • Define, develop, and maintain technical enablement playbooks for ISP and MSP partners.
  • Design and deliver onboarding programs that drive measurable business impact.
  • Build hypercare programs to support partners during milestones and reduce churn.
  • Collaborate with marketing, product, engineering, and customer experience teams to reflect latest capabilities.

Skills

Cross-functional collaboration
Technical storytelling
Analytical thinking
Program ownership
AI & automation
B2B enablement (ISP/MSP)

Education

MBA or related

Tools

LMS
AI tooling

Job description

Amazon is seeking a Sr. Technical Enablement Lead to own the technical enablement strategy for eero's ISP and MSP partner ecosystem. The role focuses on developing scalable programs that drive partner activation, time-to-first-deployment, and subscriber satisfaction.

The position requires leading cross-functional teams, designing content for multiple modalities, and leveraging AI tools to optimize learning paths and partner health insights. Domestic and international travel (<15%) is expected.

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