
51 - 200 employees
Founded 2020
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Terzo is an enterprise AI and analytics platform that transforms unstructured business documents (contracts, invoices, POs) into structured, analytics-ready financial and contractual data. It uses hybrid AI (NLP, computer vision, neural networks) plus human QA to extract, normalize, and connect metadata at enterprise scale, powering contract intelligence, spend and financial insights, procurement and legal workflows, and integrations with ERPs, CRM, CLMs, and cloud storage. Terzo positions itself as a B2B, SLA-backed AI-as-a-Service solution for finance, procurement, legal, and supply-chain teams to reduce cost, improve compliance, speed M&A diligence, and surface revenue and savings opportunities.
🔥 0 minutes ago
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51 - 200 employees
Founded 2020
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Terzo is an enterprise AI and analytics platform that transforms unstructured business documents (contracts, invoices, POs) into structured, analytics-ready financial and contractual data. It uses hybrid AI (NLP, computer vision, neural networks) plus human QA to extract, normalize, and connect metadata at enterprise scale, powering contract intelligence, spend and financial insights, procurement and legal workflows, and integrations with ERPs, CRM, CLMs, and cloud storage. Terzo positions itself as a B2B, SLA-backed AI-as-a-Service solution for finance, procurement, legal, and supply-chain teams to reduce cost, improve compliance, speed M&A diligence, and surface revenue and savings opportunities.
• Own infrastructure supporting enterprise-scale document corpora, real-time AI agents, and the Financial Intelligence Graph for Fortune 500 customers • Build and operate foundational cloud infrastructure on Azure • Manage data pipeline orchestration using Ray, Service Bus, and CDC • Build and maintain CI/CD and deployment automation systems • Operate observability systems and support incident response • Establish operational practices that keep the platform reliable as it scales • Enable product teams to ship quickly on reliable platform infrastructure • Influence architecture and technical direction for a foundational enterprise data platform
• 5+ years of experience building and operating production cloud infrastructure at scale • Strong experience with infrastructure-as-code (Terraform) and cloud platform management; Azure is a plus • Solid understanding of container orchestration (Kubernetes, Docker) and modern deployment patterns • Experience building and maintaining CI/CD pipelines, deployment automation, and developer tooling • Comfort with observability systems including monitoring, alerting, logging, and tracing • Strong SRE instincts, including SLOs, capacity planning, incident response, and eliminating toil through automation • Experience operating data infrastructure, such as data pipelines, streaming systems, and distributed compute • Familiarity with distributed compute frameworks (Ray) or streaming technologies (Kafka, Azure Service Bus) • Prior work in a B2B SaaS or enterprise data platform environment where uptime and data integrity are contractual • Prior work at a high-growth startup where infrastructure foundations were built from the ground up
• Competitive salary • Annual performance bonus • Employee stock option plan • 100% paid medical, dental, and vision coverage • 401(k) with employer contribution • Generous vacation and sick leave • Flexible work arrangements • High-quality equipment for home and office • Strong culture of collaboration, mentorship, and continuous improvement
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