Solution Architect(Customer Facing)
2 weeks ago
About USConvoZen 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 OverviewWe’re looking for a Solution Architect (Customer Facing) 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 expansion—owning 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 Qualifications3+ 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-HavePast 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.
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Solution Architect(Customer Facing)
1 week ago
New Delhi, India ConvoZen Full timeAbout USConvoZen 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...
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