
2 - 10 employees
Founded 2024
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Enlighten AI Labs is an enterprise AI analytics company that builds agentic AI products and delivers AI-powered analytics solutions for Fortune 500 organizations. It offers two core products—Aria, a Human-AI Analyst that orchestrates context, data, insights, and validation, and Echo, an Analytics QA Engine that validates analytics tracking through coordinated agents. The company also provides three solutions: AI Innovation Studio (custom agents and AI strategy), Customer Experience Analytics (causal measurement for pricing, promotion, loyalty, attribution, and LTV), and Intelligent Data Infrastructure (pipelines, CDP, warehouses, semantic layers, and governed data products). Enlighten focuses on high-stakes business decisions where causal rigor, data trustworthiness, and enterprise-grade deployment, governance, and integrations (cloud providers and analytics platforms) are required.
🔥 1 minute ago
🇺🇸 United States – Remote
💵 $155k - $185k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💼 Account Executive
👻 Ghost score 0%
Where this job comes from
Posted on Enlighten AI Labs's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

2 - 10 employees
Founded 2024
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Enlighten AI Labs is an enterprise AI analytics company that builds agentic AI products and delivers AI-powered analytics solutions for Fortune 500 organizations. It offers two core products—Aria, a Human-AI Analyst that orchestrates context, data, insights, and validation, and Echo, an Analytics QA Engine that validates analytics tracking through coordinated agents. The company also provides three solutions: AI Innovation Studio (custom agents and AI strategy), Customer Experience Analytics (causal measurement for pricing, promotion, loyalty, attribution, and LTV), and Intelligent Data Infrastructure (pipelines, CDP, warehouses, semantic layers, and governed data products). Enlighten focuses on high-stakes business decisions where causal rigor, data trustworthiness, and enterprise-grade deployment, governance, and integrations (cloud providers and analytics platforms) are required.
• Own account strategy and executive relationships for complex enterprise opportunities • Develop strategic opportunities through research, prospecting, and SDR collaboration • Build account plans around customer priorities, initiatives, and decision processes • Build relationships with executive sponsors and buying-group influencers • Position Enlighten around customer decisions and measurement questions • Establish buying-group plans with owners, dependencies, open questions, and decision dates • Surface scope, timing, and sponsorship risks early • Own technical discovery and validation across data, workflows, integrations, security, and measurement • Bring executives or delivery leaders into opportunities for specific expertise • Build and run tailored live demos and proofs of concept with AI agents • Prototype during or after discovery and document demonstrations, assumptions, and remaining tests • Run multiple AI agents daily to research industries, prepare executive briefs, and check proposals • Build tools to track relationships, decision risks, and agreed actions • Review agent-assisted work before sharing it • Coordinate internal experts around real buyer needs and provide necessary context
• Strong record leading complex enterprise AI, data platforms, analytics, or measurement sales cycles with senior sponsors and formal evaluation or procurement steps • Active enterprise buyer network relevant to Enlighten’s work • Strong account strategy skills • Executive presence that is direct, prepared, and credible without overstating the product or likely outcome • Hands-on AI fluency, including using multiple agents for parallel research, drafting, and checking work • Ability to personally build credible live demos and proofs of concept with AI agents and validate technical claims • Ability to create small custom apps or workflows with agent assistance • Self-directed working style and ability to operate independently amid ambiguity • Experience collaborating with delivery teams • Experience with strategic accounts in a complex or regulated industry • Record of building executive relationships across a long buying process • Ability to verify facts, calculations, code, and claims before use • Ability to work with data, workflows, integrations, security, and measurement during technical discovery
• Medical coverage • Dental coverage • Vision coverage
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