QUICK NOTE:
This is a well-funded, early-stage startup with a live product, paying customers, and fast access to capital. The founding team has prior startup and successful exit experience, and the engineering group is intentionally small, senior, and highly selective.
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.
The company is building a unified data platform that makes it dramatically easier for mid-market businesses to collect, organize, stream, and act on data—without the complexity, cost, and operational overhead typically associated with enterprise-scale solutions.
The platform brings together disparate data sources into a single system and enables:
Real-time data ingestion and event streaming
Centralized organization and normalization of data
AI-powered insights, automation, and alerts
Native Excel integration for business users
Automated workflows driven by live data signals
The product is positioned as a simpler, faster, mid-market alternative to heavyweight platforms such as Databricks, Palantir, and large consulting-driven implementations, which are often expensive, slow to deploy, and overbuilt for this customer segment.
The focus is on practical, usable data intelligence, not theoretical tooling or bloated enterprise architectures.
Strong, hands-on full stack software engineering experience
Proven ability to build and ship real production software
Experience working across frontend, backend, and application-layer systems
Comfort operating in early-stage, fast-moving, ambiguous environments
Startup experience strongly preferred
Strong engineering judgment and system-level thinking
Engineers who still code day-to-day
Stable work history (this role is not a fit for frequent job hoppers)
This role is NOT open to:
Contractors or consultants
Agency developers
Sales, marketing, product, or executive profiles
Engineers who no longer code regularly
Base salary: Approximately $180,000-$200,000 range
Meaningful equity with real upside (equity is a core part of compensation)
Opportunity to join a company with live product and paying customers
Small, elite engineering team with real ownership and autonomy
Direct impact on product direction and architecture
Opportunity to build something genuinely useful at the intersection of AI and data
Long-term upside aligned with company growth and success
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