GTM Engineer

🕒 il y a 17 jours

🏄 California, New York – Distant

🏄 California – Remote 🗽 New York – Remote

💵 $115 000 - $150 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧑‍💻 Développeur Full-Stack

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Juniper Square

Site WebLinkedInTous les Emplois

201 - 500 employés

💸 Finance

🏠 Immobilier

☁️ SaaS

💰 €75 000 000 Series C en 2019-11

Finance • Real Estate • SaaS

Juniper Square est une entreprise qui propose une plateforme complète et des solutions adaptées aux partenariats d'investissement privés. Fondée en 2014, l'entreprise se concentre sur la facilitation d'une connexion et d'une communication fluides entre les associés commandités (GPs) et les associés commanditaires (LPs) tout au long du cycle de vie de l'investissement. La technologie de Juniper Square est spécialement conçue pour soutenir les entreprises de l'immobilier commercial, du capital-investissement et des sociétés de capital-risque de toutes tailles. La plateforme offre des services tels que l'administration de fonds, la collecte de fonds, la gestion des investisseurs, la conformité et le reporting aux investisseurs, le tout visant à améliorer la transparence, la gouvernance des données et l'expérience globale des investisseurs.

Description

• 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

🎯 Exigences

• 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 • 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 a high-growth SaaS or fintech environment • Experience building QBR automation, pipeline dashboards, or deal review tooling

🏖️ Avantages

• Health, dental, and vision care for you and your family • Life insurance • Mental wellness coverage • Fertility and growing family support • Flex Time Off in addition to company-paid holidays • Paid family leave, medical leave, and bereavement leave policies • Retirement saving plans • Allowance to customize your work and technology setup at home • Annual professional development stipend