GTM Engineer

Juniper Square•,

6d•$115,000 - $150,000•Remote

About The Position

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.

Requirements

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

Nice To Haves

Experience with Gong or similar conversation intelligence platforms
Familiarity with MCP (Model Context Protocol) or similar tool-use frameworks for LLMs
Prior experience in a high-growth SaaS or fintech environment
Experience building QBR automation, pipeline dashboards, or deal review tooling

Responsibilities

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