About Gnani.ai-

Gnani.ai is a frontier Voice AI company, building best-in-class AI models and agentic AI platforms that solve problems at scale. Our proprietary stack — speech recognition, text-to-speech, small language models, and agentic voice platforms across 40+ languages — powers real-time conversations in production for some of the most demanding enterprises in the world.

We own our stack end to end. That is our moat — and product is how we turn that depth into experiences customers and developers love.

The Role

We are hiring a VP of Engineering to lead the organization that builds and runs our voice platform — the real-time runtime, the product surfaces on top of it, and the cloud and telephony infrastructure that keep it fast and reliable under enterprise load.This is a senior, deeply technical leadership role reporting to the Chief Product & Engineering Officer.

You will set engineering strategy, scale a multi-team organization, and stay close enough to the system to own the hard calls on architecture, latency, and reliability yourself. Our AI research organization owns the models; a separate Delivery organization owns customer implementations. Your mandate is to make the platform something both of them can build on with total confidence.

What You'll Own

• The real-time voice platform & runtime — the orchestration layer where telephony, speech, and agentic logic meet, engineered for low latency and high concurrency.
• Product engineering — the teams building our agentic voice platform, our voice and speech products, and a growing speech-analytics product.
• Infrastructure, DevOps & telephony — Kubernetes-based cloud infrastructure, the VoIP/telephony stack, observability, release engineering, and security operations.
• Reliability & scale — SLAs, on-call, incident response, capacity and concurrency provisioning, and cost-efficient operation at the platform layer.
• Quality & test engineering — test strategy, test automation, and release quality across the product pods, with QA embedded close to the teams it serves.
• The engineering organization — hiring, structure, manager development, the technical bar, and engineering culture, partnering with a Principal Architect who holds cross-product technical authority.

What We're Looking For

You are a sitting engineering leader at an enterprise SaaS or high-growth product company, and you have built and scaled engineering organizations that ship demanding software in production.

Core — what matters most

• 15+ years in software engineering, with several years leading at Director / Sr. Director / VP level at a product company.
• Has personally architected and scaled distributed, low-latency or real-time systems in production— and can still go deep with the strongest engineers.
• A track record of scaling an engineering org through growth: hiring senior talent, managing managers and technical leaders, and raising the bar without slowing delivery.
• Strong cloud-native and reliability depth — Kubernetes, observability, on-call/incident discipline, capacity and cost management at scale.
• Enterprise-grade instincts — multi-tenancy, security, and operating under real customer SLAs and compliance obligations.
• Partners cleanly with peer AI and Product leaders, keeping ownership boundaries crisp.

Strong advantage — what sets a candidate apart-

• Building or operating GenAI / agentic-AI platforms comparable to ours.
• Real-time communications, streaming, media, or voice — SIP/RTP, telephony, VAD, ASR/TTS orchestration.
• Running LLM / agentic systems in production.
• Familiarity with the Indian enterprise market and its regulatory environment (DPDP, RBI, IRDAI,TRAI, and HIPAA-type regimes).
• Exposure to multilingual / Indic products.

A note on the bar: deep voice-AI or model-research experience is a plus, not a prerequisite. We are looking first for an exceptional, scaled, hands-on engineering leader.