Go-To-Market (GTM) Engineer

Leap Group•Cincinnati, OH

11h

About The Position

The Go-to-Market Engineer is a hands-on builder who owns the technical backbone of our marketing and revenue operations. This person sits at the intersection of marketing, sales, data, and technology, designing the systems that help turn campaigns into measurable business outcomes. In this role, you’ll support (spark), a marketing tech agency that runs growth programs for a portfolio of B2B and consumer clients. You’ll help build and maintain the martech stack, integrations, AI workflows, automations, and analytics that allow our teams to move faster, work smarter, and connect campaign activity to pipeline and revenue. You do not need to be a software engineer by title, but you should be comfortable working with code, APIs, automation tools, and data. You’re energized by connecting systems, improving workflows, reducing manual work, and giving teams clear, reliable information they can act on.

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.

Nice To Haves

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.

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.