Solutions and Implementation Engineer

Job description

**Shape the Industry and Your Career** 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. **About the Solutions & Implementation Engineer Role** 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. **What You'll Do** - **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. **What You'll Bring** **Must Have** - **Experience.** 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. - **API fluency.** 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. - **Coding literacy.** 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. - **AI & LLM literacy.** 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. - **Architectural thinking.** Experience advising customers on integration architecture. You've designed workflows, debated integration patterns, and guided customers toward the right shape of solution. - **Communication range.** 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. - **Troubleshooting.** 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. - **Self-starter energy.** 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. - **SaaS integration experience.** Experience implementing production-ready integrations for SaaS B2B enterprise customers, including post-launch troubleshooting. - **Tooling.** 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 Have** - **Insurance knowledge.** Insurance or InsurTech experience. Helpful, but not required. - **GenAI product work.** Hands-on experience configuring, testing, or evaluating AI / Generative AI products. - **Pre-sales exposure.** Experience reviewing SoWs or supporting technical scoping alongside Sales. Useful for spotting integration risks, scope gaps, or infeasible asks before anyone signs. - **Workflow familiarity.** Familiarity with underwriting workflows, insurance schemas, or broker/carrier operations. **Why Cytora** We’re building the future of insurance and we’re doing it together. At Cytora, now part of Applied Systems, we’re driven by a shared mission to transform the industry through AI-powered solutions that deliver smarter decisions, stronger connections, and better outcomes. We foster a culture that values who you are and recognizes that you’re more than your role: you’re a teammate, and you matter. We thrive on the strength of our diverse experiences and celebrate the uniqueness each person brings to work every day. We believe flexibility fuels performance. Whether remote, hybrid, or in-office, we empower our teams to work in ways that work best for them. Here's what you can expect when you join us: - Competitive salary - Flexible working and remote options - Professional development budget and conference access - Annual company retreats - A mission-driven culture that puts people first **Location** This role is remote and we are looking for individuals based in Central US. Additionally, this role is only suited for professionals currently based in the US and have full rights to work as we don't offer sponsorship at this stage. Our targeted starting base salary in the United States for this position ranges from **$110,000 to $130,000**. To determine a new team member’s starting pay, we consider a variety of factors, including someone’s depth, breadth, and variety of experience, skills, and responsibilities. Depending on the role, team members may also be eligible to participate in additional compensation plans such as bonus and commission. **AI Utilization** We leverage AI tools to streamline parts of our recruitment workflow (such as resume parsing and interview scheduling). However, candidate screening, interviews, and final decisions are conducted by real humans. **EEO Statement** Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.