TalentStream AI · Careers

Chief Technology Officer

IT · Platform Engineering · Remote - India / UAE time-zone overlap

Employment
full time
Experience
8- years
Open positions
1
Notice period
immediate

Role Overview

Ravan.ai is seeking a hands-on Chief Technology Officer to own the technology vision, architecture and engineering organization behind its AI-powered sales automation platform. The company builds real-time multilingual voice AI agents, conversational website avatars, intelligent calling systems and end-to-end sales automation infrastructure. Its systems support high-volume production workloads across voice, vision and multi-channel customer engagement. This role requires a technical executive who has scaled production distributed systems, can own architecture end-to-end and can drive both product innovation and operational excellence. The position may begin as a senior fractional or contract engagement with a path to full-time, although it is recorded here as a full-time role. Work mode: Remote-friendly, with preference for overlap with India and UAE time zones. Start date: Immediate.

Key Responsibilities

Define and own Ravan.ai's technical strategy, architecture and engineering roadmap. Lead the architecture and scaling of real-time voice AI, agent-orchestration, CRM-integration and multi-channel automation platforms. Guide the development of production-grade distributed microservices using Go and Django. Drive low-latency infrastructure, targeting sub-300-millisecond interactions where technically applicable. Own decisions involving REST and gRPC APIs, asynchronous processing, data stores, observability and service boundaries. Build, mentor and scale a high-performing engineering organization. Establish a culture of technical ownership, code quality, reliability and rapid iteration. Ensure production systems handle concurrency, failures, performance bottlenecks and outages effectively. Collaborate with product, AI/ML and business leadership to translate strategy into technical execution. Champion CI/CD, cloud infrastructure, security, privacy, calling compliance and operational excellence. Evaluate emerging AI and voice technologies while controlling latency, infrastructure cost and output quality. Remain sufficiently hands-on to review architecture, investigate production issues and contribute to critical technical decisions.

Must-have Skills

Technology StrategyEngineering LeadershipGo (Golang)DjangoDistributed SystemsMicroservicesSystem ArchitecturePostgreSQLREST APIsgRPCReal-time SystemsReliability EngineeringEngineering Team LeadershipProduction Operations

Nice-to-have Skills

Voice AIConversational AILow-latency StreamingDockerKubernetesAWSGCPAzureSREObservabilityPerformance TuningEnterprise SecurityDPDPGDPRStartup Scaling

Preferred Industries

Artificial IntelligenceVoice AISaaSSales AutomationEnterprise SoftwareTelecommunications

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