GTM Engineer

Summary

Join Lightdash, an open-source BI tool, as a Growth Engineer to build scalable pipelines for high-value leads. You will design and maintain outreach workflows, scrape and enrich prospect data using AI, and A/B test messaging and channels. Collaboration with Sales, Marketing, and Product teams is key to refining ICP criteria and go-to-market strategies. The role requires a creative generalist comfortable with code, data, and customer engagement, along with a pragmatic approach to problem-solving and a data-obsessed mindset. You'll be a self-starter, a fast learner, and comfortable working in a hybrid model with one day a week in the London office. Success will be measured by Sales Qualified Leads and pipeline value added.

Requirements

• A creative generalist: comfortable at the intersection of code, data and customer engagement
• A pragmatic tinkerer: you’ve built scripts, mini-apps or tooling to solve real problems
• A commercial thinker: you grasp sales fundamentals and can articulate value to technical and non-technical audiences
• Data-obsessed: you set clear metrics, instrument every experiment and pivot when the evidence demands it
• A self starter: you decide how best to build and refine our growth stack, but we will provide as much mentorship and guidance as you need
• A fast learner: you’ll learn BI concepts on the fly and interrogate new domains with gusto
• You live in the UK and are willing to come into our new office in Central London roughly 1 day per week

Responsibilities

• Design and maintain end-to-end outreach workflows (e.g., Clay, Expandi) to drive consistent lead flow
• Scrape, enrich and filter prospect data using AI techniques; optimise in real-time
• Formulate bold hypotheses, A/B-test messaging, channels and cadences; iterate rapidly on what works
• Partner with Sales, Marketing and Product to refine ICP criteria, shape go-to-market strategies and surface insights
• Sales Qualified Leads, pipeline value added—and continuously elevate performance

Preferred Qualifications

Clay, n8n and Modern Data Stack experts are top of the queue