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.
Director Of Technology • Delhi, Delhi, India