GTM Engineer, Juniper Square

• 4+ years of experience in a technical revenue operations, sales systems engineering, or GTM engineering role
• Hands-on experience building with LLMs and AI agent frameworks – you have shipped real AI-powered tools, not just experimented with them
• Strong proficiency with Salesforce – data model, APIs, reporting, and permissions
• Experience with Clay or similar data enrichment and workflow automation platforms
• Demonstrated ability to take a business process and translate it into a working technical system with minimal hand-holding
• Comfortable working in a fast-moving environment where the roadmap evolves and ownership is broad
• Strong written and verbal communication – you can explain technical decisions to non-technical stakeholders and document your work clearly

Desirable

• The GTM Engineer sits at the intersection of revenue operations, AI engineering, and go-to-market systems. You will design, build, and operationalize AI-powered agents and workflow automation that directly accelerate our sales and revenue teams
• This is a high-impact, high-visibility role at the center of Juniper Square’s GTM transformation – you will own the architecture and execution of systems that fundamentally change how our reps work
• Design and build AI-powered GTM agents that automate deal intelligence, rep coaching, communication drafting, and opportunity scoring across the full sales cycle
• Translate GTM processes and business requirements into working technical systems – you bridge the gap between what the revenue team needs and what the technology can do
• Architect and maintain the data infrastructure that feeds GTM systems, including folder structures, file pipelines, and data feeds organized by sales manager and deal context
• Build and maintain integrations across core GTM tools including Salesforce, Clay, and Gong
• Collaborate with Revenue Operations, Sales, and Marketing Ops to scope, prioritize, and deliver automation that reduces manual work and improves data quality
• Own the development of reusable skills and agents that allow the broader team to self-serve QBR generation, forecasting, and deal review without manual preparation
• Establish governance and access patterns for GTM data, particularly around Salesforce, ensuring security and scalability as connector access expands
• Partner with the GTM engineering team as it scales, contributing to standards, documentation, and repeatable build patterns