energytalentseach · Chicago, Illinois, United States · Remote
QUICK NOTE:<\/b><\/p>
This is a well\-funded, early\-stage startup<\/b> with a live product<\/b>, paying customers<\/b>, and fast access to capital<\/b>. The founding team has prior startup and successful exit experience<\/b>, and the engineering group is intentionally small, senior, and highly selective<\/b>.<\/p>
This is not an idea\-stage company and not a consulting\-driven organization. The product is in market, customers are actively using it, and the company is scaling deliberately with a strong focus on engineering quality. <\/p>
The company is building a unified data platform<\/b> that makes it dramatically easier for mid\-market businesses<\/b> to collect, organize, stream, and act on data<\/b>\\u2014without the complexity, cost, and operational overhead typically associated with enterprise\-scale solutions.<\/p>
The platform brings together disparate data sources into a single system and enables:<\/p>
Real\-time data ingestion and event streaming<\/b><\/p><\/li>
Centralized organization and normalization of data<\/p><\/li>
AI\-powered insights, automation, and alerts<\/b><\/p><\/li>
Native Excel integration<\/b> for business users<\/p><\/li>
Automated workflows driven by live data signals<\/b><\/p><\/li><\/ul>
The product is positioned as a simpler, faster, mid\-market alternative<\/b> to heavyweight platforms such as Databricks<\/span><\/span><\/b>, Palantir<\/span><\/span><\/b>, and large consulting\-driven implementations, which are often expensive, slow to deploy, and overbuilt for this customer segment.<\/p>
The focus is on practical, usable data intelligence<\/b>, not theoretical tooling or bloated enterprise architectures.<\/p>
Strong, hands\-on full stack software engineering experience<\/b><\/p><\/li>
Proven ability to build and ship real production software<\/b><\/p><\/li>
Experience working across frontend, backend, and application\-layer systems<\/b><\/p><\/li>
Comfort operating in early\-stage, fast\-moving, ambiguous environments<\/b><\/p><\/li>
Startup experience strongly preferred<\/b><\/p><\/li>
Strong engineering judgment and system\-level thinking<\/p><\/li>
Engineers who still code day\-to\-day<\/b><\/p><\/li>
Stable work history (this role is not<\/b> a fit for frequent job hoppers)<\/p><\/li><\/ul>
This role is NOT open to:<\/b><\/p>
Contractors or consultants<\/p><\/li>
Agency developers<\/p><\/li>
Sales, marketing, product, or executive profiles<\/p><\/li>
Engineers who no longer code regularly<\/p><\/li><\/ul>
Base salary:<\/b> Approximately $180,000\-$200,000 range<\/p><\/li>
Meaningful equity<\/b> with real upside (equity is a core part of compensation)<\/p><\/li>
Opportunity to join a company with live product and paying customers<\/b><\/p><\/li>
Small, elite engineering team with real ownership and autonomy<\/p><\/li>
Direct impact on product direction and architecture<\/p><\/li>
Opportunity to build something genuinely useful at the intersection of AI and data<\/b><\/p><\/li>
Long\-term upside aligned with company growth and success<\/p><\/li>
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