GTM Engineer

At LumiQ, we’re on a mission to make professional education enjoyable. As a modern, audio-first learning platform, we empower accounting and finance professionals to fulfill their continuing professional development requirements through engaging podcasts. Over the past five years, we’ve cultivated a devoted customer base of over 1,000 corporate and accounting firms across North America.   LumiQ is proud to be a 2025 Deloitte Fast 50 and Fast 500 winner. We’re creating awesome proprietary content, nailing our go-to-market strategy, and being the first to shake up the industry. In 2024 we secured a strategic investment from Vertu Capital to fuel our expansion globally and continue executing on our exponential growth plans.   LumiQ is also a certified Great Place to Work! We’re all about transparency, ownership, innovation, and empathy. If you’re ready to make a real impact and help us transform professional education, we’d love to hear from you!
About the Role
In order to support our continued growth, we are looking for a hard working GTM Engineer that combines technical abilities with commercial instincts. You will bridge the gap between strategy and execution by designing, building, and operationalizing the systems, automations, and AI-powered workflows that let Go To Market teams move with speed and precision. This is a hands-on, high-impact role for someone who enjoys owning a problem end-to-end.

What You’ll be Responsible For:

• Workflow Automation: Design and build custom internal tools, automated signal-based outbound prospecting sequences, and seamless cross-functional data handoffs using orchestration platforms like Clay, Zapier, or n8n.
• Data Architecture: Build and optimize pipelines to clean, enrich, deduplicate, and sync raw lead data across our modern data stack and core CRM environment (Salesforce). (ie. Conference List Upload process). 
• Marketing Operations: Partner closely with Sales and Marketing teams to design and implement lead-scoring methodologies, optimize lead routing, and streamline pipeline generation.
• AI Integration: Identify high-leverage opportunities to embed AI and Large Language Models (LLMs) directly into GTM workflows to automate cognitive tasks and personalize revenue loops.

Who You Are:

• Experience: 4+ years in GTM engineering, Marketing Operations, Data analysis, or Data Engineering within a SaaS environment.

• Technical Skills: Experience with Python, SQL, API’s and Webhooks for custom scripts and data manipulation. Experience with orchestration and enrichment tools like Clay, Zapier, n8n or Claude Code.