Engineering Team Lead – Senior

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🔥 6 minutes ago

⛷️ Utah – Remote

⛷️ Utah – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Enlighten AI Labs

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Lead day-to-day engineering delivery and contribute code daily • Provide clear technical direction to a small, cross-functional team • Own backend architecture, APIs, database schemas, agent orchestration, and cloud infrastructure across Google Cloud and AWS • Build reusable foundations and documented patterns for product builders • Integrate AI agents into testing, project coordination, and code review with verification and human accountability • Establish secure, scalable environments and reliable paths from preview to production • Enforce type checks, linting, automated tests, and DeepSource security and quality checks • Require domain-expert review before changes are merged • Partner with engineering and product leadership on priorities, iteration cycles, tradeoffs, and technical risk • Mentor engineers, help hire, shape the team, and improve tools and standards • Ensure product builders can deliver features without recurring backend or infrastructure bottlenecks

🎯 Requirements

• 7+ years of software engineering experience, including senior ownership of production systems at scale • 2+ years leading engineers as a formal manager or technical lead • Experience developing people and shaping a team • Strong backend and infrastructure skills • Python, FastAPI, and Google Cloud or AWS • Full-stack fluency, including React and TypeScript • Track record of practical architectural decisions for enterprise systems • Experience improving engineering delivery, testing, security, and operational quality • Clear communication with technical and nontechnical teammates • Experience with AI-assisted development tools such as Cursor or Claude Code, including choosing models and checking generated work (nice to have) • Experience with workflow orchestration, AI agents, or products using large language models (nice to have) • Experience in a startup or small team (nice to have)

🏖️ Benefits

• AI-assisted development tools used to accelerate analysis, development, and review • Clear ownership of work quality and production readiness • Documented decisions and early feedback • Reusable engineering patterns, tools, and standards • Mentorship and team-shaping opportunities

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