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.
