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Cytora

AI-driven platform digitizing commercial underwriting workflows

Solutions and Implementation Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Typically 3–5+ years of experience in a technical, customer-facing role such as Solutions Engineer, Solution Architect, Customer Engineer, or Implementation Engineer.
  • Experience with REST APIs, Swagger/OpenAPI specifications, and Postman, including designing integrations and discussing endpoints, CRUD patterns, request methods, authentication, and error handling.
  • Ability to read and write Python scripts against APIs for prototyping, testing, and automation.
  • Interest in AI and ability to explain how an LLM-powered product works to customers.
  • Experience advising customers on integration architecture, designing workflows, evaluating integration patterns, and guiding solution design.
  • Ability to explain technical concepts to senior developers and to project managers or business analysts in plain English.
  • Ability to investigate logs, traces, and system behavior to root-cause complex issues and document findings for the product team.
  • Curiosity, proactivity, and comfort with occasional ambiguity; ability to test new features, learn the architecture, and bring ideas forward without waiting for a task list.
  • Experience implementing production-ready integrations for SaaS B2B enterprise customers, including post-launch troubleshooting.
  • Fluency with Git and GitHub, including commits, branches, pull requests, and navigating a codebase.
  • Comfort with observability tools such as Datadog and familiarity with user-management platforms such as Auth0.
  • Must currently be based in the United States and have full rights to work; the company does not offer sponsorship.

Responsibilities

  • Own technical implementation for new and existing customers, from API integration and workflow configuration through production go-live.
  • Conduct technical discovery of customer technology stacks and architecture, recommend integration patterns, and create Miro workflows and implementation playbooks for rollout.
  • Advise customers on API integration patterns, webhook strategies, retry and failure handling, schema design, and platform best practices, adapting delivery to technical and business audiences.
  • Coordinate technical work across Customer Success, Sales, Solutions Consultants, and Product; support Customer Success during delivery and provide technical context to Solutions Consultants and Sales.
  • Educate customers about how the company’s AI works and stay current with the evolving landscape.
  • Document customer needs through bug reports and feature requests, and test beta features.
  • Investigate logs, monitoring, and system behavior to diagnose complex issues, and provide Engineering with clear reproductions when needed.
  • Review release notes, test new features, form product recommendations, and explain product capabilities to colleagues and customers.

Desired Qualifications

  • Insurance or InsurTech experience.
  • Hands-on experience configuring, testing, or evaluating AI or Generative AI products.
  • Experience reviewing statements of work or supporting technical scoping with Sales to identify integration risks, scope gaps, or infeasible requests before contract signing.
  • Familiarity with underwriting workflows, insurance schemas, or broker and carrier operations.

About the Company

Cytora

AI-driven platform digitizing commercial underwriting workflows

Cytora offers a configurable, AI-powered platform for commercial insurers to digitize and automate core underwriting workflows. It converts unstructured data from emails and documents into structured, decision-ready information to support risk intake, evaluation, and routing, allowing underwriters to focus on more complex risks. The product is a SaaS solution that scales with usage, serving commercial property and casualty insurers with clients like QBE, AXA XL, and Markel. Cytora aims to improve efficiency, risk selection, and profitability by digitizing risk flows and automating manual underwriting tasks.

Company size
51-200
Company stage
Series B
Total funding
$41.8M
Headquarters
London, United Kingdom
Founded
2014

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