GTM Lead Engineer

LearnUpon is looking for a GTM Lead Engineer to join our team in Salt Lake City. This is a hybrid role, working 3 days per week from LearnUpon's office.

LearnUpon LMS helps organizations train their employees, customers, and members. Businesses can manage, track, and achieve their unique learning goals — all through a single, powerful solution.

With offices in Dublin (our HQ), Belgrade, Philadelphia, Salt Lake City and Sydney, we are a global team with lots of diverse cultures, backgrounds, and experiences that puts our customers' experience at the heart of everything we do. Our culture fosters an open, collaborative and supportive environment where our accomplishments are celebrated and encouraged. We're always striving for the best solution (not the easy one). We’re proud of our success and we’re humble and hungry to achieve more. 

Our Go-To-Market (GTM) Systems team is the architectural heartbeat of our growth strategy. While traditional operations focus on maintaining the status quo, this team is responsible for building the automated future of our business development motion. You will be a founding member of this function and will report to the Head of Revenue Operations, working closely with Business Development, Sales, and Marketing. Your mission is to eliminate the "grind" of manual prospecting by building a sophisticated, AI-driven signals engine and a unified automated ecosystem that allows our sales team to focus entirely on closing deals rather than managing tools.

• Architecting the Signals Engine: Design and build an automated system that captures high-intent buying signals (hiring trends, tech stack changes, social triggers) and transforms them into actionable tasks for the BD team.
• Workflow Orchestration: Implement "agentic" workflows—AI agents that can autonomously research accounts, draft hyper-personalized outreach, and manage lead routing across our ecosystem.
• Tech Stack Consolidation: Audit and revamp our existing sales and marketing technology. You will move us away from a "stitched-together" stack toward a seamless, automated platform where data flows without manual intervention.
• Sales & BD Partnership: Work directly with the Business Development and Sales leaders to identify manual bottlenecks and engineer automated solutions that serve their day-to-day needs.
• System Governance & Scaling: Ensure the "plumbing" of our GTM motion is robust, scalable, and capable of handling 10x our current lead volume through efficient API integrations and database management.
• Continuous Innovation: Stay at the forefront of the AI/Agentic landscape, constantly experimenting with new LLM capabilities and automation tools to keep our GTM motion ahead of the competition.

• 6+ years in SaaS, with at least 2 years specifically focused on GTM automation or RevOps architecture.
• Systems Thinking: The ability to look at a complex manual process and visualize the automated architecture required to solve it.
• Automation Mastery: Deep expertise in workflow orchestration tools (e.g., n8n, Make, Zapier, or Tray.io) and data enrichment platforms (e.g., Clay, Apollo, or Clearbit).
• CRM Expertise: Advanced knowledge of CRM architecture (Salesforce) and how to build custom objects/logic that support automation.
• AI/LLM Familiarity: Practical experience using LLMs (Geminni, OpenAI, Anthropic) for prompt engineering and automating content generation within a sales context.
• Business Acumen: A strong understanding of the B2B sales funnel, lead-to-revenue cycles, and key GTM metrics like CAC and Pipeline Velocity

Don’t worry if you don’t tick every box in order to apply, we’re always happy to review applications and take all experience into consideration. We do our best to provide feedback where we can!

• Experience building with AI agent frameworks.
• Prior experience in a "Founding GTM Engineer" or "RevOps Architect" role at a high-growth SaaS company.
• Familiarity with SQL and data visualization tools (Tableau/Looker) to build "Live ROI" dashboards for your automations.
• Strong understanding of outbound prospecting and Business Development (BD) best practices, with a focus on translating high-quality account identification methods into scalable automation.

Our typical process generally works as follows:

• Qualified applicants will be invited to schedule a screening call.
• Successful candidates will then be invited to a series of practical interviews.
• Finally, candidates will have a short interview with a member of our C-Suite Team.
• The successful candidate will be contacted with an offer to join our team.

We do not discriminate on the basis of gender, marital status, family status, age disability, sexual orientation, race, religion, membership of the Traveller community, or any other legally protected status.

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