Technical Support Team Lead

Improvado•, GA

7d•Remote

About The Position

Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. As a Technical Support Team Lead, you build the automation and AI layer that keeps our support organization fast, reliable, and scalable, and you lead the small team that runs on top of it. We are building an AI-first support function, and you will design and ship the agents, workflows, and tools that embed AI into everyday support work.

Requirements

A power user of LLMs, coding agents (e.g. Claude Code), and automation platforms (e.g. n8n, Make, Zapier) who has built a workflow, agent, or tool that is actually used. You understand prompting vs. orchestrating and can spot and fix wrong AI output.
Hands-on scripting or automation experience (Python, n8n/Make-style workflow tools, APIs), and a habit of asking "why does this keep happening?"
Strong SQL and relational databases: complex queries, debugging slow scripts, finding root causes in complex schemas.
You bring order to chaos, never lose track of open issues, and prefer prevention over reaction.
Experience coordinating teammates and staying calm under pressure. Formal management is a plus, not a prerequisite.
You follow new tools and experiment for fun.
Fluent English and clear, structured writing.

Responsibilities

Build and maintain automations and AI agents (with tools like Claude Code, n8n, Make, and our MCP setup) that remove manual support work, from ticket triage and reply drafting to knowledge-base upkeep and quality checks. Measure the time they save.
Write playbooks and documentation, spot recurring issues, and fix root causes instead of repeating fixes.
Investigate complex data pipeline issues (API → SQL → platform) and coach the team to do the same.
Lead a small team of Analysts: set priorities, own escalations, keep SLAs on track, and run post-mortems. Light-touch mentoring, not micromanagement.
Work with Engineering, Product, and Customer Success on structured bug feedback and support tooling.
Test new AI models, agent frameworks, and tools, and bring the ones that work into production.