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Director, Voice AI Engineering
Director, Voice AI EngineeringGreyLabs AI • Republic Of India, IN
Director, Voice AI Engineering

Director, Voice AI Engineering

GreyLabs AI • Republic Of India, IN
9 hours ago
Job description

Director of Engineering (Voice AI Stack)

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 Responsibilities

  • 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

  • 12+ years of industry experience , with 6+ years in engineering leadership roles (managing managers and multi-functional teams).
  • Proven track record of taking complex platforms / products from zero to scale (0 → 1 → 10 → 50) .
  • Strong experience in building distributed systems, real-time data pipelines, or AI / ML-powered products .
  • Demonstrated ability to hire, grow, and retain talent at all levels, including managers.
  • Exceptional communication and collaboration skills;
  • able to work closely with Product, Data, and Business stakeholders.

  • Experience in Voice AI, speech analytics, conversational AI, or large-scale SaaS systems is a strong plus.
  • Solid technical foundation in cloud (Azure / AWS / GCP), microservices, and modern data / ML platforms .
  • What We Offer

  • Opportunity to shape the future of Voice AI at scale.
  • A fast-paced, collaborative environment with a focus on innovation.
  • Autonomy to drive engineering strategy, culture, and execution .
  • Competitive compensation, ESOPs, and benefits.
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    Director Engineering • Republic Of India, IN

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