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present of AI is seeking a full stack engineer who builds the systems that bring in new customers and keep them. A strong candidate can identify the biggest drop off in the sales funnel, form a hypothesis, ship a fix fast, and measure whether it moved the metrics.
Clear communication with sales, marketing, and operations matters as much as code quality. This role emphasizes analytics, automation, and practical improvements across CRM and analytics pipelines.
The role asks for a full stack engineer who builds the systems that bring in new customers and keep them. A strong candidate can find the biggest drop off in the sales funnel, form a hypothesis, ship a fix fast, and measure whether it moved the number. Clear communication with sales, marketing, and operations matters as much as code quality.
Much of the routine work here, like cleaning data, tracking attribution, and automating tedious parts of the sales cycle, is the kind of thing AI tools now handle well. That frees the engineer to focus on judgment: choosing which funnel problem is worth solving and deciding whether a shipped change actually helped. The human parts are framing good experiments, reading results honestly, and working with the sales team.
Building analytics and attribution pipelines for a metal supplier gives hands on practice in using AI to clean data and spot conversion patterns. Automating sales cycle steps is a practical way to learn where AI helps and where it needs checking. Working alongside robotic factories and a real customer funnel builds judgment about applying these tools to industrial B2B work.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
Nox Metals develops automated material fulfillment software and robotic factories to provide instant quotes on cut-to-size industrial metal, according to the company.