
51 - 200 employees
💼 Consulting
📦 Logistics
🤖 Artificial Intelligence
💰 Series B on 2019-04
Consulting • Logistics • Artificial Intelligence
Cytora is a configurable platform that empowers commercial insurers by digitizing their workflows, allowing them to assess and manage risks more efficiently. Utilizing machine learning and artificial intelligence, Cytora enhances incoming risk assessments with additional data, evaluates each risk against specific underwriting criteria, and facilitates the routing of these risks to different systems for either automated or manual underwriting. The company is recognized in the insurtech space with numerous awards and accolades for its innovative technology in commercial insurance.
🕒 April 24
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51 - 200 employees
💼 Consulting
📦 Logistics
🤖 Artificial Intelligence
💰 Series B on 2019-04
Consulting • Logistics • Artificial Intelligence
Cytora is a configurable platform that empowers commercial insurers by digitizing their workflows, allowing them to assess and manage risks more efficiently. Utilizing machine learning and artificial intelligence, Cytora enhances incoming risk assessments with additional data, evaluates each risk against specific underwriting criteria, and facilitates the routing of these risks to different systems for either automated or manual underwriting. The company is recognized in the insurtech space with numerous awards and accolades for its innovative technology in commercial insurance.
• Own technical implementation for new and existing customers — from API integration to workflow configuration to production go-live. • Run technical discovery on customer tech stacks and architecture, recommend the right integration patterns, and produce Miro workflows and implementation playbooks that guide the rollout. • Guide customers on API integration patterns, webhook strategies, retry and failure handling, schema design, and platform best practices — flexing your delivery between technical and business audiences. • Be the technical glue between Customer Success, Sales, Solutions Consultants, and Product. • Be a calm, credible voice on how our AI works. • Observe what customers need, file clean bug reports, open feature requests that capture what you're hearing, and test beta features. • Dig into logs, monitoring, and system behavior to diagnose complex issues, and hand off clean reproductions to Engineering when needed. • Read the release notes. Test the new features. Form opinions. Teach the rest of us and our customers what's possible.
• Enough time in a technical, customer-facing role (Solutions Engineer, Solution Architect, Customer Engineer, Implementation Engineer, or similar) that you can hit the ground running — typically 3-5+ years. • Deep comfort with REST APIs, Swagger/OpenAPI specs, and tools like Postman. • Comfortable reading and writing Python scripts against APIs — prototyping, testing, and automating. • You're genuinely interested in AI, you keep up with it, and you can confidently explain how our LLM-powered product works to a customer. • Experience advising customers on integration architecture. • You can hold a whiteboard session with a senior developer and also walk a project manager or business analyst through the same concept in plain English. • You can dig into logs, traces, and system behavior to root-cause complex issues, and cleanly document what you find so our product team can act. • Genuinely curious, proactive, and comfortable in occasional ambiguity. • Experience implementing production-ready integrations for SaaS B2B enterprise customers, including post-launch troubleshooting. • Fluent with Git/GitHub — commits, branches, PRs, and navigating a codebase, not just cloning. Comfort in observability tools like Datadog, and familiar with user-management platforms like Auth0.
• Competitive salary • Flexible working and remote options • Professional development budget and conference access • Annual company retreats • A mission-driven culture that puts people first
Apply Now🕒 April 22
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