
51 - 200 employees
Founded 2024
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $30M Series A on 2025-05
Artificial Intelligence • Enterprise • SaaS
Unframe is an enterprise AI software company that provides an open AI OS to turn operational data and workflows into production-grade, agentic AI solutions. Their platform combines an Agent Orchestrator, Knowledge Fabric, and an AI-native data warehouse to unify fragmented enterprise data, integrate with ERPs/CRMs and any LLM, and deliver governed, auditable AI workflows across industries. Unframe offers managed AI transformation and modular SaaS building blocks to deploy mission-critical AI use cases quickly and at scale.
🕒 June 21
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51 - 200 employees
Founded 2024
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $30M Series A on 2025-05
Artificial Intelligence • Enterprise • SaaS
Unframe is an enterprise AI software company that provides an open AI OS to turn operational data and workflows into production-grade, agentic AI solutions. Their platform combines an Agent Orchestrator, Knowledge Fabric, and an AI-native data warehouse to unify fragmented enterprise data, integrate with ERPs/CRMs and any LLM, and deliver governed, auditable AI workflows across industries. Unframe offers managed AI transformation and modular SaaS building blocks to deploy mission-critical AI use cases quickly and at scale.
• Investigate and resolve technical issues reported by enterprise customers, owning the issue from triage to resolution. • Analyze logs, reproduce issues, and dig into system behavior to identify root causes before escalating to Engineering. • Use AI tools actively as part of your investigation workflow, to speed up analysis, understand unfamiliar parts of the product, and document findings. • Communicate clearly with customers and internal teams throughout the support process. • Document issues, solutions, and recurring patterns to build institutional knowledge across a growing set of customer solutions. • Contribute to internal knowledge bases and playbooks that help the team handle new solutions faster. • Share customer feedback and product insights with the Product team.
• 2+ years of experience in technical support, support engineering, QA, solutions engineering, or a similar hands-on technical role. • Strong troubleshooting instincts and the ability to investigate complex technical issues independently. • Good understanding of web applications, APIs, integrations, logs, and basic system behavior. • Hands-on with AI tools (ChatGPT, Claude, Copilot, or similar) and comfortable using them as part of day-to-day technical work. • Excellent written and spoken English. • Customer-first mindset with strong ownership and follow-through. • Ability to work in a fast-paced environment with a wide variety of products and customer contexts.
• Health insurance • Professional development opportunities • Flexible work arrangements
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