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Enablement Lead

Job in New York, New York County, New York, 10261, USA
Listing for: Raspberry AI
Full Time position Listed on 2026-11-09
Job specializations:
  • IT/Tech
    Sales Engineer
  • Sales
    Sales Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR

Job Description & How to Apply Below

Enablement Lead

— Job Description Why Raspberry AI

Raspberry AI is building the agentic platform transforming how fashion and retail is created and brought to market. Raspberry brings AI into the center of their process — connecting design, product development, merchandising, marketing, ecommerce, and wholesale teams in one platform.

Our customers use Raspberry to move from an idea to production-ready designs, assortments, campaigns, ecommerce imagery, and sales materials in a fraction of the time. Today, some of the world's leading fashion brands and retailers — including SKIMS, Fabletics, Under Armour, Oscar de la Renta, Walmart, rag & bone, Kate Spade, Savage x Fenty and more — are using Raspberry to rethink how their teams work.

We're backed by a16z and recently raised $29M to keep building.

The role

We're hiring our first Enablement Lead to head-up the two teams that sit between our product and our customers: AI Implementation Specialists and Solution Engineers. Together they win deals, get brands live, and make sure Raspberry becomes part of how fashion teams actually work.

Today these teams have no dedicated manager. You'll build the function around them: one operating rhythm, shared playbooks, clear handoffs from presales to onboarding to adoption, and a hiring plan that scales with our customer base.

This is a player-coach role. You'll lead the team and the program, and still get hands-on with our most strategic accounts and deals.

What you'll do

Lead and build the team

  • Manage AI Implementation Specialists and Solution Engineers weekly 1:1s, goals, performance, and career growth.

  • Hire for the next stage. Define the profile for each role, run interviews, and onboard new team members fast.

  • Set the operating rhythm: capacity planning, account coverage, and how work is assigned across presales and post-sales.

Own the customer journey from demo to adoption

  • Design clean handoffs between Sales, Solution Engineering, Implementation, and CS so no customer context gets lost after signature.

  • Own how every enterprise customer is onboarded: kickoff, workflow mapping, training, and go-live.

  • Build the enablement program: onboarding playbooks, role-based training for design, product development, merchandising, and ecommerce teams, office hours, and certification.

Support revenue

  • Partner with Sales leadership and the AE team so Solution Engineers are on the right deals at the right time: discovery, tailored demos, proofs of concept, and technical evaluations.

  • Make sure what we show in presales matches what we deliver in implementation.

  • Use adoption data to spot expansion opportunities and flag churn risk early.

Bring fashion expertise into everything

  • Lead the Implementation Specialists who show brands what's possible: creative workflows, model outputs, and real use cases by team.

  • Turn customer wins into reusable demo assets, case studies, and templates.

  • Feed what customers need back to Product and Engineering with clear, prioritized input.

Measure and improve

  • Define and report on team metrics: time-to-first-value, activation, adoption by team, presales win rate, and training satisfaction.

  • Stay ahead of Raspberry's product releases and the broader generative AI landscape so the team sells and trains on what's next.

Who you'll lead

Your Solution Engineers own presales. They work alongside our AEs on technical discovery, tailored demos, proofs of concept, and evaluations, showing brands exactly what Raspberry can do for their workflows. Once a deal closes, your AI Implementation Specialists take over. They onboard new customers, train design and product teams, and build Raspberry into the way those teams work day to day, carrying each account from go-live through full adoption.

What

we're looking for
  • 7+ years across…

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