GTM Engineer - India

About this job

Juniper Square is an operations partner for private markets, unifying technology, data, and fund administration services for global finance. The company is known for its AI-powered platform and a growing team that scales the future of private markets. As a GTM Engineer - India at Juniper Square, you will work at the intersection of revenue operations, AI engineering, and go-to-market systems. In this role, you will design, build, and operationalize AI-driven agents and workflow automations that empower sales and revenue teams. A normal day in this position involves architecting data infrastructure, building platform integrations, translating business requirements into technical workflows, establishing data governance, and collaborating closely with revenue operations, sales, and marketing teams to reduce manual work and improve data quality across the organization.

Responsibilities

• Design and build AI-powered GTM agents to automate deal intelligence, rep coaching, and opportunity scoring.
• Translate GTM business processes into working technical systems and scalable automated solutions.
• Architect and maintain data pipelines, folder structures, and data feeds organized by sales context.
• Build and maintain integrations across core GTM tools including Salesforce, Clay, and Gong.
• Collaborate with Revenue Operations, Sales, and Marketing Ops to scope and deliver process automation.
• Own the development of reusable skills and agents for self-serve QBR generation and forecasting.
• Establish governance and access patterns for GTM data to ensure security and scalability.

Requirements

• 5+ years of experience in technical revenue operations, sales systems engineering, or GTM engineering.
• Hands-on experience building with LLMs and shipping real AI-powered agent frameworks.
• Strong proficiency with Salesforce data models, APIs, reporting, and permissions.
• Experience with Clay or similar data enrichment and workflow automation platforms.
• Demonstrated ability to translate business processes into working technical systems independently.
• Comfort working in a fast-moving environment with broad ownership and an evolving roadmap.
• Strong written and verbal communication skills for explaining technical decisions clearly.

Good to have

• Experience with Gong or similar conversation intelligence platforms.
• Familiarity with MCP 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.

Who should apply

This role suits experienced technical professionals with a strong background in revenue operations, sales systems, or GTM engineering who want to build AI-driven solutions for global finance. Candidates should have a proven track record of shipping AI agent tools, managing Salesforce environments, and working closely with business teams. Freshers should not apply, as the position requires five or more years of relevant technical experience.

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