Go-To-Market (GTM) Engineer

Leap Group is a passionate and innovative company focused on marketing and revenue operations. They are seeking a Go-To-Market Engineer who will own the technical backbone of their marketing efforts, integrating systems and designing workflows to connect campaigns to measurable business outcomes.

Responsibilities:

• Own, administer, integrate, and maintain core tools across CRM, marketing automation, enrichment, outreach, and reporting platforms
• Connect systems through APIs, webhooks, and tools like Zapier, Make, or n8n so data flows reliably between platforms
• Design and maintain data pipelines that move lead, campaign, and revenue data into a clean and trustworthy source of truth
• Build and tune lead scoring, enrichment, routing, and automation logic to support timely and effective follow-up
• Design internal AI workflows and agents that support research, list building, content drafting, personalization, reporting, and other repetitive go-to-market tasks
• Prototype AI-assisted tools quickly, test their value, and help turn successful prototypes into reliable workflows
• Apply good judgment around automation, including knowing when human review, guardrails, and quality checks are needed
• Build and maintain dashboards that track funnel performance from first touch through pipeline and revenue
• Set up and maintain tracking, UTM conventions, attribution models, and reporting processes
• Automate recurring reporting to improve accuracy, timeliness, and efficiency
• Surface insights, trends, and recommendations that help internal teams and clients understand what is working and where to focus
• Document systems, workflows, and processes clearly so they can scale across accounts and teams

Requirements:

• 3+ years of experience in go-to-market engineering, marketing operations, revenue operations, growth engineering, or a similar role
• Hands-on experience with at least one CRM and one marketing automation platform, such as HubSpot, Salesforce, Marketo, Klaviyo, or similar
• Working knowledge of APIs, webhooks, and no-code or low-code automation tools such as Zapier, Make, or n8n
• Practical scripting ability, such as SQL plus Python or JavaScript, with enough fluency to transform data and connect systems
• Real experience building with AI tools and a strong understanding of where automation adds value and where human judgment is needed
• Strong analytical instincts, including comfort with spreadsheets, dashboards, BI tools, and messy data sets
• Ability to translate complex data and systems into clear, actionable stories for marketing, sales, account, and leadership teams
• Strong documentation habits, attention to detail, accountability, and follow-through
• A bias toward shipping, testing, learning, and improving
• Excellent communication and collaboration skills across technical and non-technical teams
• Agency or multi-client experience, including managing separate tool instances and reporting across several accounts
• Experience with a data warehouse and BI tool such as BigQuery, Snowflake, Looker, or similar
• Experience building or orchestrating LLM agents, including prompt chaining, retrieval, or tool use
• Background in outbound systems, lead enrichment, deliverability, or campaign operations
• Exposure to paid media, web analytics, or performance marketing platforms