
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 hour ago
Where this job comes from
Posted on Enlighten AI Labs's careers page, not through a job board
First seen by Remote Rocketship 1 hour ago
Still open on Enlighten AI Labs's site. Checked 1 hour 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.
• Turn ambiguous business questions into focused analyses, deciding what to measure and what evidence would support a decision • Analyze customer acquisition, retention, churn, segmentation, pricing, and campaign performance • Build and maintain data pipelines and recurring reports for executive and field teams • Use reusable methods that adapt to different audiences • Apply statistical and causal methods, check findings, and explain the limits of what the data supports • Present clear recommendations connecting analysis to business priorities and next action • Use large language models and AI agents to accelerate work while keeping analysis reproducible, documented, and checked • Own analyses from the initial business question through data preparation, validation, and recommendations to senior stakeholders • Collaborate with enterprise clients and teams across industries to solve business problems
• 5+ years of experience in customer or marketing analytics • Strong SQL and Python skills • Experience working on modern data platforms and large transactional datasets • Practical knowledge of causal inference, cohort analysis, and customer segmentation • Ability to recognize when an analysis answers the wrong question, even if the calculations are correct • Curiosity about how a client's business works and habit of checking whether results make sense in context • Confidence presenting to senior stakeholders, explaining uncertainty, and constructively challenging assumptions with evidence • Working experience with AI tools and understanding of their strengths and limitations • Disciplined approach to documentation and reproducibility • Ability to deliver when requirements are still taking shape • Experience with consumer, retail, or loyalty analytics • Hands-on use of Claude Code or similar agent tools for analysis, automation, or prototyping • Experience building repeatable workflows combining human judgment with AI-assisted analysis
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