ConvoZen

About US ConvoZen AI builds conversational intelligence and automation products that help organizations deliver friction-less, human-grade customer experiences at scale. Our platform blends LLM-powered natural-language capabilities with flexible APIs and SDKs so enterprises can embed smart, context-aware conversations into any workflow or channel. Role Overview We're looking for aTechnical Solution Architect who is equally comfortable white-boarding architectures with CTOs and diving into source code with fellow engineers. You will be the technical face of ConvoZen AI during pre-sales discovery, onboarding, and post-launch expansionowning every integration touch-point that makes our customers successful. Key Responsibilities % of Time Responsibility- 40 %Technical Solutioning & Discovery Lead technical workshops, map client requirements to ConvoZen APIs/webhooks, and draft solution architectures & sequence diagrams. 30 %Integration & Implementation Build reference integrations (Node, Python, Java, REST/GraphQL), author sample code and Postman collections, and guide customers through deployment best practices (OAuth, rate limits, security, observability). 15 %Developer Advocacy Create how-to guides, SDK docs, quickstart repos, and demo apps; present at webinars or developer events. 10 %Troubleshooting & Support Escalation Help triage complex issues, reproduce edge-cases, and feed learnings back to Product/Engineering. 5 %Voice of Customer Collect and synthesize integration feedback, feature requests, and competitive insights for roadmap prioritization. Minimum Qualifications 3+ years building or integrating RESTful/GraphQL APIs, webhooks, or real-time messaging systems. Proficiency in at least one modern language (JavaScript/TypeScript, Python, or Java). Solid grasp of OAuth 2.0/OIDC, JWT, and common SaaS auth patterns. Experience with cloud-native stacks (AWS/GCP/Azure), CI/CD, and containerization (Docker/K8s). Ability to translate ambiguous business requirements into clear technical deliverables and articulate trade-offs to both engineers and non-technical stakeholders. Excellent written & verbal communication skills in English; strong documentation discipline. Nice-to-Have Past work with conversational AI, NLP, voice bots, or customer-support platforms (e.g., Zendesk, Genesys, Twilio, Intercom). Familiarity with enterprise integration patterns (ESB, iPaaS, middleware) and event-driven architectures (Kafka, Pub/Sub). Contributions to open-source projects or public tech blog posts/tutorials. Experience working in high-growth SaaS startups or customer-facing consulting roles.