Chief Technology Officer

About Zudu AI

Zudu AI is transforming traditional call centers with human-like AI voice agents that automate millions of customer interactions in 70+ languages. We integrate deeply with CPaaS, CRM, and BPO ecosystems to help enterprises scale customer experience, cut operational costs, and achieve compliance at a global scale.

As an early-stage startup with global traction We’re looking for a visionary CTO

Technology Strategy & Leadership

• Own the overall technical vision and product roadmap across AI, telephony, and enterprise integrations.

• Evaluate and integrate open-source + proprietary models (ASR, TTS, LLMs, embeddings) into scalable pipelines.
• Ensure scalability, reliability, and low-latency architecture to handle millions of concurrent calls.

Product Development & Engineering

• Lead a multi-disciplinary team (Java backend, Next.js frontend, Python AI/ML, DevOps/Kubernetes).

• Drive design and development of APIs, dashboards, and call analytics platforms.
• Oversee cloud infrastructure (multi-cloud/Kubernetes, on-prem GPU clusters, CI/CD pipelines).

AI/ML & Voice Tech Innovation

• Advance multilingual TTS, ASR, and LLM prompt engineering for human-like AI conversations.

• Build IP in areas like real-time speech synthesis, embeddings, and post-call analytics.
• Guide applied research and POCs with enterprises and CPaaS partners.

Security & Compliance

• Ensure SOC2, GDPR, and HIPAA readiness with secure logging, encryption, and RBAC.

• Oversee regulatory compliance for telecom and AI deployments globally.

Team & Culture

• Hire, mentor, and scale high-performance engineering + AI teams.

• Foster a culture of innovation, ownership, and speed.
  

• 10+ years of technical leadership

  in AI, enterprise SaaS, or large-scale distributed systems.
• Deep expertise in

  AI/ML (LLMs, TTS, ASR)

  ,

  cloud infra (Kubernetes, multi-cloud, GPUs)

  , and

  telephony (SIP, CPaaS, RTC)

  .
• Proven ability to

  scale systems to millions of users/transactions

  with low latency.
• Prior experience in

  startup/early-stage environments

  and building products from zero to scale.
• Strong knowledge of

  security, compliance, and enterprise readiness

  .
• Entrepreneurial mindset: ability to balance hands-on execution with high-level vision.
  

• Equity/ESOPs

  : Competitive ownership in a high-growth AI company.
• Opportunity to build category-defining AI tech from the ground up.
• A fast-paced, global startup environment with enterprise traction.
• Direct collaboration with the founder/CEO and global partners.