
201 - 500 funcionários
💸 Finanças
🏠 Imobiliário
☁️ SaaS
💰 $75.000.000 Series C em 2019-11
Finance • Real Estate • SaaS
A Juniper Square é uma empresa que oferece uma plataforma abrangente e soluções personalizadas para parcerias de investimento privado. Fundada em 2014, a empresa se concentra em possibilitar uma conexão e comunicação contínua entre General Partners (GPs) e Limited Partners (LPs) ao longo de todo o ciclo de vida do investimento. A tecnologia da Juniper Square é feita sob medida para apoiar empresas de imóveis comerciais, private equity e capital de risco de todos os tamanhos. A plataforma oferece serviços como administração de fundos, captação de recursos, gestão de investidores, compliance e relatórios para investidores, todos destinados a aprimorar a transparência, a governança de dados e a experiência geral do investidor.
🕒 Maio 21
🏄 California, New York – Remoto
💵 $115.000 - $150.000 / ano
⏰ Tempo Integral
🟡 Pleno
🟠 Sênior
🧑💻 Engenheiro Full-stack
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

201 - 500 funcionários
💸 Finanças
🏠 Imobiliário
☁️ SaaS
💰 $75.000.000 Series C em 2019-11
Finance • Real Estate • SaaS
A Juniper Square é uma empresa que oferece uma plataforma abrangente e soluções personalizadas para parcerias de investimento privado. Fundada em 2014, a empresa se concentra em possibilitar uma conexão e comunicação contínua entre General Partners (GPs) e Limited Partners (LPs) ao longo de todo o ciclo de vida do investimento. A tecnologia da Juniper Square é feita sob medida para apoiar empresas de imóveis comerciais, private equity e capital de risco de todos os tamanhos. A plataforma oferece serviços como administração de fundos, captação de recursos, gestão de investidores, compliance e relatórios para investidores, todos destinados a aprimorar a transparência, a governança de dados e a experiência geral do investidor.
• 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
• 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
• 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
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