GTM Engineer - India

Juniper Square offers employees a variety of ways to work, ranging from a fully remote experience to working full-time in one of our physical offices. We invest heavily in digital-first operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. We also have physical offices in San Francisco, New York City, Mumbai and Bangalore for employees who prefer to work in an office some or all of the time.

About your role

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.

What you’ll do

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

Qualifications

5+ 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 have:

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