GTM Engineer

This GTM engineer sits in the AI Enabling team and embeds with the sales organization of Resichalle, a savings app. The engineer works with sales staff to map workflows and find high-impact problems. Available records include HubSpot deals, Circleback meeting notes and recordings, Zoom Phone logs, and purchasing data. The work includes building business systems with LLMs and AI agents, evaluating output quality and cost, and designing human-review workflows. It also covers pipelines that turn first-party purchasing data into sales signals, connections across SFA/CRM tools, data warehouses and internal systems, and KPIs for measuring results. Successful solutions are made reusable across sales. The named data environment includes Snowflake, dbt and Lightdash; the specific LLM stack is open for selection. Applicants need at least three years of professional software development, regular on-the-job use of AI coding agents, and development experience collaborating with business teams such as sales, marketing, customer success or operations. They must have independently identified problems, involved stakeholders and driven solutions through to completion.