GTM Automation & Systems Engineer

United States Digital Space LLC; Salt Lake City (UT); Hybrid; USD 126,000 - 145,000; Full time

Job summary

United States Digital Space LLC is seeking a systems/RevOps engineer to own GTM tooling, workflows, and automation. You will partner with Sales, SDR, CS, and RevOps to identify bottlenecks, design scalable solutions, and ship end-to-end tools that streamline processes and enable data-driven decisions.

The role requires 2-4 years in a technical ops capacity, proficiency with Salesforce or equivalent CRM, and comfort embedding AI capabilities into tooling.

Qualifications

• 2-4 years in Systems, BizOps, TechOps, or RevOps engineering
• Experience leading tools end-to-end: evaluation through implementation
• Strong proficiency in JavaScript, Python, SQL, and APIs
• Ability to build and ship internal tools independently
• Comfort with data-informed decision making and presenting insights

Responsibilities

• Build and maintain tooling, integrations, and automations for GTM teams
• Collaborate with Sales, SDR, CS, and RevOps to identify workflow bottlenecks and translate into technical solutions
• Work across GTM tech stack to improve tooling and integrations
• Analyze GTM data to surface insights and inform leadership decisions
• Integrate AI/LLM capabilities into tooling and workflows
• Own mid-scale projects end-to-end from framing to launch
• Manage relationships with multiple GTM stakeholders with support from seniors
• Contribute to code quality and technical hygiene
• Mentor junior ICs and interns

Skills

Data analysis

Ownership mentality

Stakeholder management

Mentoring

Tools

Salesforce

Nooks

Outreach

Gong

Vitally

Sierra

Job description

United States Digital Space LLC is seeking a systems/RevOps engineer to own GTM tooling, workflows, and automation. You will partner with Sales, SDR, CS, and RevOps to identify bottlenecks, design scalable solutions, and ship end-to-end tools that streamline processes and enable data-driven decisions.

The role requires 2-4 years in a technical ops capacity, proficiency with Salesforce or equivalent CRM, and comfort embedding AI capabilities into tooling.