01
Facilitation + Service Operations
Started in live facilitation and customer service training across hospitality and frontline teams. Learned how behavior actually changes when people are doing the real work.
03About
About Liz Linares.
Elizabeth Linares, MSEd
Learning & AI Enablement Architect
I design the onboarding, practice, and workflow systems that help distributed teams build confidence — and perform consistently across roles, regions, and tools.
I pair the science of how people think with a decade of experience in what works in business. AI supports the work; it is not the headline.
What I'm building toward next
Senior and principal roles shaping enablement strategy, AI adoption, and organizational capability — Head or Director of Learning & Enablement, Principal Learning Architect, Enablement Architect, AI Enablement Lead, or Workforce Transformation. Remote. Available 2026.
03.1Chapters
The arc, the proof, the philosophy.
From frontline facilitation to enablement systems
02
Internal Training + Program Ownership
Moved in-house to run service programs, support operational leaders, and connect training directly to guest and customer experience.
03
Instructional Design + Consulting
Built formal learning design expertise through Purdue and consulting work — simulations, onboarding, systems training, and enterprise learning programs.
04
Global SaaS Enablement + AI-Supported Systems
Now designs onboarding, sales readiness, and AI-supported practice systems for global SaaS enablement teams.
Atmosphere · Where the work begins
Before the systems. Before the rollout. The quiet diagram on the desk.
Recommendations · LinkedIn
A talented designer who homes in on the client's needs — and the learner's.
Alexis Wright, MBA
Instructional Designer · Learning Solutions
Raised our design standards while delivering eight courses on time — and made it fun.
Krystine Hundley, M.Ed
Program Manager, Instructional Design · National financial services firm
Current · In exploration
What I’m exploring right now.
The patterns I’m actively testing inside current systems and the Lab — applied work, not predictions.
01
AI-supported onboarding
Shortening the distance between a new hire's first week and the first customer conversation they handle with confidence.
02
Practice for the hard conversations
Helping sellers and frontline teams rehearse objections, discovery, and difficult customer moments before they have to live them on a real call.
03
Support inside the workflow
Guidance that shows up in the tool the person is already using, at the moment they have to make the call — not in a separate portal.
04
Readiness signals leaders can act on
Data that follows what reps actually do in the work — so managers and leadership know who's ready before the launch, not after.
05
The work itself as the learning environment
Designing systems where the workflow carries more of the teaching, so reinforcement happens in the day, not in a calendar invite.
06
Choosing where AI helps and where the person stays
Deciding on purpose where AI speeds people up — drafting, summarizing, simulating — and where human judgment has to stay in the loop.
If this resonates
If what you've read here matches what you're trying to build, the next step is a conversation — not a pitch.
Open the channel
