Enablement Lead

Raspberry AI

. Lead AI Implementation Specialists and Solution Engineers through weekly 1:1s, goal-setting, performance management, and career growth .

Posted 11/6/2026full-timeNew York City • New York • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI implementation teams, developing onboarding programs, and managing enterprise customer relationships. Proficient in using data to drive decision-making and improve customer success metrics.

Highest-signal resume keywords

Team ManagementOnboarding Program DevelopmentEnterprise Customer EngagementData-Driven Decision MakingGenerative AI Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Solutions EngineeringImplementationEnablementCustomer SuccessMetrics DefinitionDashboard BuildingWorkflow MappingTechnical EvaluationsPerformance ManagementTraining Development

Soft Skills

Clear CommunicationLeadershipGoal SettingCollaborationProblem Solving

Tools & Technologies

Generative AICentricBrowzwearCLOAdobe

Industry Keywords

FashionRetailApparelFootwearProduct Development

About the role

Key responsibilities & impact

Lead AI Implementation Specialists and Solution Engineers through weekly 1:1s, goal-setting, performance management, and career growth
Hire for the next stage by defining role profiles, running interviews, and onboarding team members
Establish operating rhythms for capacity planning, account coverage, and work allocation across presales and post-sales
Design handoffs between Sales, Solution Engineering, Implementation, and Customer Success
Own enterprise customer onboarding, including kickoff, workflow mapping, training, and go-live
Build onboarding playbooks, role-based training, office hours, and certification programs
Partner with Sales leadership and Account Executives on discovery, tailored demos, proofs of concept, and technical evaluations
Align presales demonstrations with implementation delivery
Use adoption data to identify expansion opportunities and early churn risks
Lead implementation specialists in demonstrating creative workflows, model outputs, and team-specific use cases
Convert customer wins into reusable demo assets, case studies, and templates
Provide prioritized customer feedback to Product and Engineering
Define and report metrics including time-to-first-value, activation, adoption by team, presales win rate, and training satisfaction
Track product releases and the generative AI landscape to guide sales and training

Requirements

What you’ll need

7+ years across solutions engineering, implementation, enablement, or customer success, including 3+ years managing a team
Experience leading both presales and post-sales people, or a mixed team where one hands off to the other
Experience building an onboarding or enablement program from scratch
Comfortable with enterprise customers; able to run discovery calls, lead executive demos, and rescue stalled implementations
Hands-on experience with AI and creative tools; uses generative AI and can explain it to skeptical designers
Experience setting team metrics, building dashboards, and using data for staffing and process decisions
Clear writing and communication skills; able to work with Sales, Product, and Engineering
Nice to have: background in fashion, retail, apparel, or footwear, especially design, product development, or merchandising
Nice to have: experience at a Series A or B startup building a function as it scaled
Nice to have: familiarity with PLM, 3D, or creative tools including Centric, Browzwear, CLO, and Adobe
Nice to have: experience supporting US and UK/EU customers