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.