Director of Technology

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.