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

1. Build, lead, and mentor a high-performing engineering team, including hiring managers and engineers across multiple sub-teams.
2. Establish a strong engineering culture centered around innovation, ownership, and accountability.
3. Provide coaching and career development for engineers and managers.

• Product & Delivery

1. Partner with Product, Design, and Data Science teams
   
   to define roadmaps and ensure timely, high-quality delivery.
2. Translate business goals into technical execution plans and deliverables.
3. Ensure scalability, reliability, and performance of voice AI and analytics systems.

• Scaling & Execution

1. Drive engineering through different growth phases (0 ? 1 ? 10 ? 50 scale), ensuring process and architecture evolve with scale.
2. Define and implement best practices in agile execution, release management, and system observability.
3. Proactively identify bottlenecks and risks and implement mitigation strategies.

• Technology & Architecture

1. Provide architectural direction for speech analytics, voicebot systems, and insights platforms.
2. Oversee integration of AI/ML models (speech-to-text, LLMs, NLP, TTS) into production-grade systems.
3. 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).

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• 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.