Higharc
Construction
AIEnablementLead
Neural analysis suggests this role is
optimal for Lead candidates.
“AI Enablement Lead at Higharc. Skills: AI Enablement, Internal AI tools, AI training. Design AI training programs. Manage AI champions network”
What You'll Achieve.
Ship production internal AI tools; Time saved per workflow; Tool usage metrics; Trained headcount metrics; Shipped tools metrics
Industry & Context.
What They're Looking For.
Must Have
5+ years experience, AI training programs, AI champions network, AI best practices, AI tooling decisions, AI roadmap development, AI adoption metrics
Nice to Have
Experience with AI, Experience with AI tools
What You'll Do.
Design AI training programs
Manage AI champions network
Establish AI best practices
Own AI tooling decisions
Maintain institutional knowledge
Build internal AI tools
Translate research into capabilities
Brief leadership on AI
Define adoption metrics
Report adoption metrics
Serve as point of contact
How You'll Work.
Team & Collaboration
Across engineering; Across product; Across GTM; With Special Projects; With Sr. AI Engineer; With engineering leadership
Communication Scope
Brief leadership
Full Job Description
ABOUT US Higharc is a VC-backed startup that is changing how new homes are designed and built. Join a founding team who’ve shipped products for Autodesk, Electronic Arts, Nike, and Apple. We have raised a total of $83M with support from top-notch venture capital firms and more than 18 strategic investors—industry leaders in construction, building products manufacturing, and distribution. The AI Enablement Lead owns the connective tissue between Higharc's AI capabilities and the people who need to use them every day. This role leads internal AI training, establishes best practices, drives toolset adoption across every team, and ships production internal AI tools for high-leverage workflows. MAIN RESPONSIBILITIES - Design and run internal AI training programs tailored to each team's actual workflows; build and manage an AI champions network across engineering, product, and GTM. - Establish org-wide AI best practices — prompt libraries, evaluation rubrics, security and privacy guardrails, and model selection guidelines. - Own build-vs-buy decisions for AI tooling (e.g., Cursor vs Claude Code vs Copilot; custom API stacks vs vendor platforms) and maintain institutional knowledge in agent-friendly documentation. - Build and ship production internal AI tools for high-leverage workflows without a current owner (executive reporting, sales enablement, customer success automation, codebase navigation). - Partner with Special Projects and the Sr. AI Engineer to translate Labs research into internal-facing capabilities. - Develop Higharc's internal AI roadmap alongside Michael and engineering leadership; brief leadership on emerging AI capabilities and the vendor landscape. - Define and report adoption metrics (time saved per workflow, tool usage, trained headcount, shipped tools); serve as the company-wide point of contact for AI applicability decisions. WORKING AT HIGHARC Higharc has been remote first since our founding in 2018. We offer flexible hours so you can do your best
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