GTM Engineer - India

Juniper Square; India; Remote; INR 4,000,000 - 7,000,000; Full time

Job summary

Juniper Square is seeking a GTM Engineer to design and implement AI-powered agents and workflow automation at the intersection of revenue operations and AI engineering. You will own architectures that accelerate sales and revenue teams, delivering scalable, secure solutions.

You will build integrations with Salesforce, Clay, and Gong, and collaborate across Revenue Operations, Sales, and Marketing to reduce manual work and improve data quality. This role offers remote flexibility across markets.

Qualifications

• 5+ years in a technical revenue operations, sales systems, or GTM engineering role.
• Hands-on with LLMs and AI agent frameworks; shipped real AI-powered tools.
• Strong proficiency with Salesforce data model, APIs, reporting, and permissions.
• Experience with Clay or similar data enrichment and workflow automation platforms.
• Ability to translate business processes into working technical systems with minimal hand-holding.

Responsibilities

• Design and build AI-powered GTM agents to automate deal intelligence, coaching, drafting, and scoring across the sales cycle.
• Translate GTM processes into operating technical systems bridging revenue needs and technology capabilities.
• Architect and maintain data infrastructure for GTM systems and organize feeds by sales context.
• Build and maintain integrations across GTM tools including Salesforce, Clay, and Gong.
• Collaborate with Revenue Ops, Sales, and Marketing to deliver automation and improve data quality.
• Own development of reusable skills and agents for QBRs, forecasting, and deal reviews.

Skills

GTM engineering

Sales systems

LLMs

AI agents

Salesforce

Data integration

Tools

Salesforce

Clay

Gong

Job description

About Juniper Square

Private markets are one of the largest, most complex, and most underserved corners of global finance. Our mission at Juniper Square is to unlock their full potential. We’re the Operations Partner trusted by 2,300+ GPs, unifying technology, data, and fund administration services into a single platform that helps GPs move faster, make better decisions, and scale with precision. With $300B+ under administration and 700,000+ LPs on platform, we’ve built the scale to match our ambition. And with JunieAI, our purpose-built AI platform, we’re reimagining how private markets operate, embedding intelligence across every workflow. Founder-led since 2014, backed by $350M+ in funding, and now 1,000+ employees strong, we’re building a company designed to shape the future of private markets for decades to come.

Our culture is built for people who want to do ambitious, meaningful work alongside exceptionally talented teammates. We think like owners, move with urgency, and take pride in solving hard problems that truly matter to our customers and the future of private markets. We believe the best ideas come from open debate, deep collaboration, and diverse perspectives, which is why we believe transparency is the default and feedback makes us stronger. If you’re energized by high standards, rapid growth, and the opportunity to help define a category at a pivotal moment, come join us!

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