
201 - 500 employees
Founded 2012
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $40M Series C on 2022-10
Artificial Intelligence • SaaS • Enterprise
Tray. ai is the enterprise orchestration platform for data and AI. It provides a unified SaaS platform to build AI agents, govern Model Context Protocol (MCP) tool calls, integrate 700+ applications, and automate business processes with low-code/no-code tooling and developer options. Key capabilities include the Merlin Agent Builder (no-code agent creation), an Agent Gateway for secure MCP governance, intelligent iPaaS for data integration and automation, and built-in AI governance, auditability, and compliance (SOC 2 Type II, HIPAA, GDPR). Tray. ai targets enterprise customers looking to consolidate legacy iPaaS tooling, accelerate data delivery to AI models, and safely operationalize agentic AI across systems.
🕒 July 28
🗽 New York – Remote
💵 $200k - $240k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💸 Sales Engineer
👻 Ghost score 18%
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201 - 500 employees
Founded 2012
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $40M Series C on 2022-10
Artificial Intelligence • SaaS • Enterprise
Tray. ai is the enterprise orchestration platform for data and AI. It provides a unified SaaS platform to build AI agents, govern Model Context Protocol (MCP) tool calls, integrate 700+ applications, and automate business processes with low-code/no-code tooling and developer options. Key capabilities include the Merlin Agent Builder (no-code agent creation), an Agent Gateway for secure MCP governance, intelligent iPaaS for data integration and automation, and built-in AI governance, auditability, and compliance (SOC 2 Type II, HIPAA, GDPR). Tray. ai targets enterprise customers looking to consolidate legacy iPaaS tooling, accelerate data delivery to AI models, and safely operationalize agentic AI across systems.
• Own the technical sale • Design and deliver tailored demos • Architect solutions on Tray's platform • Drive the technical close • Help technical and business buyers reason through their own use cases
• 3+ years in pre-sales, solutions engineering, or technical consulting • Exposure to SaaS, iPaaS, automation, or AI platforms • Experience with complex enterprise cycles and POC execution • Strong technical breadth across APIs, cloud, data, integration, and AI
• Stock options
Apply Now🕒 July 28
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