Associate Enterprise AI Solutions

Endeavor

. Build and ship verified cross-functional AI agents, skills, and Glean projects for workflows shared across business units .

Posted 9/29/2026full-timeRemote • New York • United StatesJuniorMid-Level💰 $90,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and shipping AI agents and automations, with a strong focus on workflow analysis, evaluation design, and training delivery. Proficient in managing product artifacts and maintaining visibility into project roadmaps and prioritization.

Highest-signal resume keywords

AI Agent DevelopmentWorkflow AnalysisEvaluation DesignTraining DeliveryEnterprise AI Platform Fluency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Agent DevelopmentWorkflow AnalysisEvaluation DesignPrompt DesignInstruction DesignError Rate MeasurementDiagnosis of Agent FailuresBuilding Reusable CapabilitiesDemand PrioritizationProgram Management

Soft Skills

Judgment Across Business UnitsTeaching and Enablement

Tools & Technologies

GleanCopilotClaudeAgentforce

Industry Keywords

MediaSportsEntertainmentLive Events

About the role

Key responsibilities & impact

Build and ship verified cross-functional AI agents, skills, and Glean projects for workflows shared across business units
Own verified artifacts as products with defined scope, absorbing owners, feedback cadences, versioning, and update paths
Establish and enforce verification standards, quality bars, launch gates, monitoring, and post-launch reviews
Design and run evaluations using real user intents and measured fallback and error rates
Diagnose and fix platform-level agent failures and escalate genuine product gaps with reproducible cases
Conduct workflow discovery across WWE, UFC, IMG, PBR, On Location, and corporate functions
Identify reusable capabilities underneath local requests and prioritize what belongs in the verified core
Maintain a live view of workflow coverage and promote proven business-unit patterns into the core
Build and maintain a pattern library of templates, examples, and reference instruction sets
Run hands-on agent-building working sessions and transfer capability to business teams
Design and deliver practical agent-building training and hand materials to the change and enablement team
Prepare Wave 2 starter agents, worked examples, and role-based starting-point content
Maintain visibility into the verified-core roadmap and demand prioritization
Issue weekly written updates, maintain action logs, and surface risks early
In the first 90 days, ship verified artifacts, map workflows, deliver training cohorts, establish owners and monitoring, and promote a business-unit agent into the verified core

Requirements

What you’ll need

Demonstrable portfolio of AI agents, assistants or automations personally built and shipped into production use by other people
Ability to analyze real business workflows and translate them into technical solutions
Deep hands-on fluency with at least one enterprise AI platform, including Glean, Copilot, Claude, Agentforce, or comparable platforms
Prompt and instruction design, retrieval and permissions behavior, and tool and action wiring
Ability to design and run evaluations using real user-intent test sets, success criteria, and fallback and error-rate measurements
Ability to diagnose retrieval, permissions, instruction, source-coverage, and intent-scope causes of agent failure
Experience teaching others to build through training, enablement sessions, office hours, or a documented pattern library
Judgment working across autonomous business units or divisions
Evidence of building reusable supported capabilities, shared components, templates, or platform assets
Based in the United States and able to work a full East Coast business day
Preferred: experience owning enterprise-tool adoption and usage outcomes
Preferred: business analysis, process mapping, or solutions consulting background
Preferred: demand intake and prioritization experience across multiple business units
Preferred: AI governance experience
Preferred: program management discipline
Preferred: strategic vendor relationship experience
Preferred: enablement or change management background
Preferred: experience in multi-brand or federated operating environments
Preferred: media, sports, entertainment, or live events exposure

Benefits

Comp & perks

Short- and long-term incentives, as applicable
Growth and developmental opportunities
Health care
Retirement
Vacation and other paid time off
Reasonable accommodations for qualified individuals with disabilities