Director of Engineering

We are building a next-generation Voice AI Stack platform that powers speech analytics, voicebots, and email analytics , unified under a centralized insights platform . Our mission is to deliver intelligent, real-time, and scalable AI solutions that transform how businesses interact with their customers.

We are looking for a Director of Engineering who can drive the engineering team through 0 → 1 → 10 → 100 scale , balancing leadership, technical depth, and execution discipline . This leader will play a pivotal role in building and scaling teams, shaping product execution, and delivering impactful AI-driven solutions.

Key Responsibilites

• Leadership & Team Building
• Build, lead, and mentor a high-performing engineering team, including hiring managers and engineers across multiple sub-teams .
• Establish a strong engineering culture centered around innovation, ownership, and accountability.
• Provide coaching and career development for engineers and managers.
• Product & Delivery
• Partner with Product, Design, and Data Science teams to define roadmaps and ensure timely, high-quality delivery.
• Translate business goals into technical execution plans and deliverables.
• Ensure scalability, reliability, and performance of voice AI and analytics systems.
• Scaling & Execution
• Drive engineering through different growth phases ( 0 → 1 → 10 → 50 scale ), ensuring process and architecture evolve with scale.
• Define and implement best practices in agile execution, release management, and system observability.
• Proactively identify bottlenecks and risks and implement mitigation strategies.
• Technology & Architecture
• Provide architectural direction for speech analytics, voicebot systems, and insights platforms .
• Oversee integration of AI / ML models (speech-to-text, LLMs, NLP, TTS) into production-grade systems.
• Balance build vs. buy decisions to optimize cost, speed, and scalability.

Qualifications & Experience

What we Offer

Skills Required

Ml, email analytics , Ai, Microservices, Nlp, Cloud, Gcp, TTS, Azure, speech analytics, Aws