GTM Engineer - Birmingham - Smeetz

Description

Go-To-Market (GTM) Engineer

At Smeetz, we help visitor attractions like theme parks, museums, and theaters grow their sales and revenue. Our AI-powered SaaS platform gives them the tools to manage, market, and price their products more effectively.

We're looking for a Go-To-Market (GTM) Engineer to build and optimize the systems that power our sales and marketing engine. You'll be responsible for connecting data, automating processes, and improving the tools that help our teams reach more clients efficiently. This is a hybrid role that blends marketing operations, revenue automation, and data analytics.

Key Responsibilities

• Own and scale the GTM data ecosystem: Maintain a unified and reliable data layer connecting HubSpot, Clay, La Growth Machine, and the website. Ensure data integrity, enrichment, routing, and tracking across the full funnel.
• Build automation and workflow systems: Design and implement end-to-end automationfrom lead capture and scoring to routing and campaign sequencing. Remove manual processes and ensure operational scalability.
• Enable growth experimentation: Create and manage infrastructure for A/B testing and campaign experiments across outbound, landing pages, and messaging. Implement "test ? measure ? iterate" loops with clear reporting.
• Develop advanced analytics and attribution: Implement multi-touch revenue attribution and structured event tracking. Build dashboards to visualize conversion, pipeline velocity, and campaign performance.
• Drive lifecycle and retention automation: Extend automation beyond acquisitionmanage nurture, onboarding, and expansion workflows integrated with product or customer data.
• Partner in GTM decision-making: Collaborate with Sales, Marketing, and Product to identify systemic bottlenecks, forecast improvements, and revenue opportunities using data insights.
• Champion GTM system health and culture: Create documentation, define best practices, and train teams on system usage. Build transparency around data quality, automation performance, and funnel health.