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Juniper Square is the operations partner for private markets, serving 2,300+ GPs with a unified platform combining technology, data, and fund administration. The company manages $300B+ in assets and has 700,000+ LPs on its platform. With 1,000+ employees and $350M+ in funding, Juniper Square is building AI-powered solutions (JunieAI) to transform how private markets operate.
As a GTM Engineer, you will sit at the intersection of revenue operations, AI engineering, and go-to-market systems. This is a high-impact, high-visibility role focused on designing, building, and operationalizing AI-powered agents and workflow automation that directly accelerate sales and revenue teams.
Key responsibilities include:
- 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, bridging the gap between revenue team needs and technical capabilities
- Architect and maintain the data infrastructure feeding 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 development of reusable skills and agents enabling 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
- Partner with the GTM engineering team as it scales, contributing to standards, documentation, and repeatable build patterns
The company operates with a digital-first hybrid model across 27 U.S. states, 2 Canadian provinces, India, Luxembourg, and England, with physical offices in San Francisco, New York City, Mumbai, and Bangalore.
QUALIFICATIONS:
- 4+ years of experience in technical revenue operations, sales systems engineering, or GTM engineering
- Hands-on experience building with LLMs and AI agent frameworks; must have shipped real AI-powered tools, not just experimented
- Strong proficiency with Salesforce (data model, APIs, reporting, permissions)
- Experience with Clay or similar data enrichment and workflow automation platforms
- Demonstrated ability to translate business processes into working technical systems with minimal hand-holding
- Comfortable in fast-moving environments where roadmap evolves and ownership is broad
- Strong written and verbal communication; ability to explain technical decisions to non-technical stakeholders and document work clearly
PREFERRED:
- Experience with Gong or similar conversation intelligence platforms
- Familiarity with MCP (Model Context Protocol) or similar tool-use frameworks for LLMs
- Prior experience in high-growth SaaS or fintech environment
- Experience building QBR automation, pipeline dashboards, or deal review tooling
