Enablement Leader for AI & Solution Engineers

Raspberry AI; New York (NY); Vor Ort; USD 180.000 - 240.000; Vollzeit

Zusammenfassung

Raspberry AI in New York, NY is hiring its first Enablement Lead to head the AI Implementation Specialists and Solution Engineers teams. You will shape the function, establish playbooks, set handoffs across presales, onboarding and adoption, and scale the program as our customer base grows.

You will be a hands-on leader with enterprise customers, guiding demos, deployments, and training while building metrics, dashboards, and a clear path from go-live to full adoption across fashion and retail

Qualifikationen

• 7+ years across solutions engineering, implementation, enablement, or customer success.
• Have led both presales and post-sales people, or a mixed team with a handoff between them.
• Built an onboarding or enablement program from scratch, not just run an existing one.
• Comfortable in front of enterprise customers: run a discovery, executive demo, and salvage stalled implementations.
• Hands-on with AI and creative tools; you use generative AI and can explain it to designers.
• Data-driven: set team metrics, built dashboards, and used them to guide staffing and processes.
• Clear writer and communicator who collaborates with Sales, Product, and Engineering.

Aufgaben

• Lead and build the Enablement team: manage weekly 1:1s, goals, performance, and career growth.
• Hire for the next stage; define roles, run interviews, onboard quickly.
• Set operating rhythm: capacity planning, account coverage, and cross-team handoffs.

Kenntnisse

Leadership

Presales & post-sales

Team management

Onboarding enablement

Jobbeschreibung

Raspberry AI in New York, NY is hiring its first Enablement Lead to head the AI Implementation Specialists and Solution Engineers teams. You will shape the function, establish playbooks, set handoffs across presales, onboarding and adoption, and scale the program as our customer base grows.

You will be a hands-on leader with enterprise customers, guiding demos, deployments, and training while building metrics, dashboards, and a clear path from go-live to full adoption across fashion and retail