Solutions and Implementation Engineer

Cytora

18h • Remote

About The Position

At Cytora, now part of Applied Systems, we’re transforming how insurers and brokers connect, operate, and grow. Our AI-powered platform is driving smarter decisions, greater efficiency, and seamless collaboration across the global insurance ecosystem. As we accelerate digital transformation, we’re looking for curious, collaborative minds ready to help shape what’s next. If you’re energized by innovation and inspired by impact, your future starts here.

You'll be the technical orchestrator behind our customer implementations — owning the journey from kick-off through go-live. You'll also sit at the crossection of Product, and Customer Success. As the go-to Cytora product technical guru, you'll be cross-collaborating and supporting Customer Success during deliveries, closing the loop with Product on bugs, feature requests, and general product feedback and backing up our Solutions Consultants with your in-depth product knowledge.
You're not just integrating the product — you're using your experience to advise customers on how to integrate it well. Through thorough technical discovery and understanding of their business use cases, you'll help them design the right shape of solution and communicate it fluently to a mixed audience of developers, architects, and business stakeholders.
As an AI company still at the frontier of an ever-evolving technology, your appreciation for this space will set you up to confidently advise and educate our customers on how we use AI to digitize their workflows — and keep you curious enough to stay ahead of what's coming next.

Requirements

• 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. You can read a spec, design an integration from it, and hold a fluent conversation with a customer about endpoints, CRUD patterns, request methods, auth, and error handling — pseudo-code and all.
• Comfortable reading and writing Python scripts against APIs — prototyping, testing, and automating. You should be able to pull a repo, run a script, tweak it, and know what it's doing.
• 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. The specifics evolve constantly — what matters is that you find it interesting and want to know more.
• Experience advising customers on integration architecture. You've designed workflows, debated integration patterns, and guided customers toward the right shape of solution.
• 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. You don't wait for a to-do list — you read the release notes, test new features, learn the architecture, and bring ideas to the table.
• 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. Comfortable in observability tools like Datadog, and familiar with user-management platforms like Auth0.

Nice To Haves

• Insurance or InsurTech experience. Helpful, but not required.
• Hands-on experience configuring, testing, or evaluating AI / Generative AI products.
• Experience reviewing SoWs or supporting technical scoping alongside Sales. Useful for spotting integration risks, scope gaps, or infeasible asks before anyone signs.
• Familiarity with underwriting workflows, insurance schemas, or broker/carrier operations.

Responsibilities

• Drive customer implementations. Own technical implementation for new and existing customers — from API integration to workflow configuration to production go-live.
• Design the integration. 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.
• Advise and architect. 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.
• Partner across teams. Be the technical glue between Customer Success, Sales, Solutions Consultants, and Product. Support CS through delivery, back up SCs and Sales with technical context when they need it, and be someone the team trusts to jump in.
• Educate customers on AI. Be a calm, credible voice on how our AI works. Customer questions range widely — some beginner, some advanced — and the landscape keeps evolving. You'll stay curious, stay current, and meet each customer where they are.
• Close the product loop. Observe what customers need, file clean bug reports, open feature requests that capture what you're hearing, and test beta features.
• Troubleshoot like a pro. Dig into logs, monitoring, and system behavior to diagnose complex issues, and hand off clean reproductions to Engineering when needed.
• Stay ahead of the product. Read the release notes. Test the new features. Form opinions. Teach the rest of us and our customers what's possible.

Benefits

• Competitive salary
• Flexible working and remote options
• Professional development budget and conference access
• Annual company retreats
• A mission-driven culture that puts people first

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees