Product
Bengaluru
14 \- 20 years experience
###### **Responsibilities**
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.
Skills \& Competencies
- Hands\-on engineering — still writes and reviews production code; fluent in one or more modern backend languages (e.g. Go, Python, Rust, Java) and sets the bar by example.
- System architecture \& design — strong command of design principles, patterns, and trade\-off analysis; clean service boundaries and well\-considered APIs (REST / gRPC / streaming).
- Distributed systems at scale — designing and operating low\-latency, high\-concurrency backend services.
- Event\-driven \& streaming architectures — message buses and pub/sub (e.g. Kafka, NATS), async and stream processing, queueing, and backpressure.
- SQL \& NoSQL databases — sound data\-modelling judgement, choosing the right store, and tuning for scale; plus caching and in\-memory stores (e.g. Redis).
- Cloud\-native engineering — Kubernetes, containers, microservices, and infrastructure\-as\-code.
- Reliability engineering — SLAs / SLOs, observability, on\-call and incident management, capacity and cost planning.
- Performance \& efficiency — profiling and optimising latency and cost at the platform and serving layers.
- Enterprise\-grade software — security, multi\-tenancy, and data protection by design.
- Advantageous — real\-time media and telephony (SIP / RTP / WebRTC, VAD, ASR/TTS orchestration), and serving LLM / agentic systems in production.
Leadership \& operating
- Scaling organisations — building and structuring multi\-team engineering groups through growth.
- Talent — hiring senior engineers and developing engineering managers.
- Leading leaders — has directly managed technical leadership — Architects, Engineering Managers, and QA leads — not only individual contributors.
- Technical bar \& governance — setting standards, owning architecture decisions, and making the hard calls.
- Cross\-functional partnership — working cleanly with AI, Product, and Delivery leaders.
- Strategy to delivery — translating business goals into engineering roadmaps and predictable execution.
Why This Role
The platform is real, in production, and growing — this is a scaling challenge, not a greenfield bet. You
will inherit a capable team and a clear mandate, with the CPEO sponsoring the function directly
through your onboarding. If you want to own the engineering of a category\-defining, India\-first voice\-AI
platform and build the organization that scales it, this is the seat.
###### **Skills Required**
Primary Skills
WebRTC
Backend Python
Text\-to\-Speech (TTS)
Azure Kubernetes Service (AKS)
Go (Programming Language)
AI / LLM
ASR
VAD