About GreyLabs AI

GreyLabs AI builds enterprise-grade Voice AI systems for India’s BFSI ecosystem. Our technology powers high-volume, regulated use cases across collections, sales, servicing, compliance, and customer engagement.

We work with 40+ leading banks, NBFCs, fintechs, and insurance companies, solving complex, real-world problems where performance, reliability, auditability, and data security are non-negotiable. Our systems operate at scale, handling millions of interactions across diverse languages, accents, and customer contexts.

As a Series A-funded company, we are scaling rapidly - deepening our product capabilities, expanding our enterprise footprint, and building long-term technology moats in AI-first workflows.

At GreyLabs, ownership is real. We value clarity of thinking, bias for action, intellectual honesty, and high craft standards. Teams operate with autonomy, move fast, and are trusted to take ideas from concept to production.

If you’re excited about building meaningful technology in a high-impact, high-accountability environment, you’ll feel at home here.

The Role

We’re looking for a Director of Engineering to lead our Voice AI platform. Reporting to the VP of Engineering, you’ll own delivery, team development, and architectural direction across the platform - working alongside a Principal Engineer on technical strategy.

This is a role for someone who moves fluidly across levels: comfortable in a roadmap review with leadership one day, in a design discussion with engineers the next. We value leaders who stay close to the work and set the standard through participation, not just oversight.

What You’ll Do

Delivery & Execution

• Own end-to-end delivery across both pods - from quarterly planning to production. Define milestones, manage risks proactively, and maintain quality without sacrificing pace.

Team Leadership

• Hire, develop, and retain engineers and managers across Voice AI teams. Build a team with high ownership, clear growth paths, and a culture of direct, respectful collaboration.

Technical Direction

• Co-own architecture decisions with the Principal Engineer. Bring delivery and business context to technical trade-offs. Stay engaged enough in the work that your judgment is grounded.

Customer & Stakeholder Management

• Represent engineering in enterprise customer conversations - managing expectations, communicating trade-offs, and building trust with some of India’s largest financial institutions. Align closely with Product and Business teams on priorities and sequencing.

Organisational Scalability

• Help design the engineering operating model - processes, norms, and rituals - that will carry the organisation through its next phase of growth.

What We’re Looking For

• 10+ years in software engineering, with 4-6 years in engineering leadership at a B2B SaaS or AI-focused company

• Demonstrated track record of owning complex, production-grade platform delivery end-to-end

• Experience managing both ICs and managers across multiple teams

• Technical depth in one or more of: Voice AI, real-time data systems, distributed systems, or AI/ML-powered products

• Comfortable and credible in enterprise customer conversations

• Strong communicator who can represent engineering clearly to product, business, and executive stakeholders

Strong Signals

• You’ve owned a hard delivery - not just led it. You can speak to what broke, what you learned, and what you’d do differently. The accountability was yours.

• You move fluidly across levels. Comfortable in a roadmap review with leadership one day, in a design discussion or production incident the next. You don’t see this as context-switching - it’s just the job.

• You’ve built teams where strong engineers thrived. You can point to specific examples - people you hired, developed, or retained because of how you led.

• You’ve made unpopular calls and stood by them. On timelines, on people, on technical direction. With reasoning, not just authority.

• You believe engineering quality and team culture reinforce each other. You’ve managed accordingly - and the outcomes show it.

Why GreyLabs AI

• A hard problem in a large market. Building low-latency, multilingual Voice AI for regulated financial institutions - across diverse Indian languages and under RBI and IRDAI compliance requirements - is technically complex and commercially consequential.

• Real scale, real engineering challenges. The reliability, cost, and infrastructure challenges here reflect actual production load.

• Scope to shape the technical direction. At our current stage, architectural decisions move quickly from design to production. Senior engineers have direct influence on how the platform is built and what it becomes.

• Strong backing, proven team. Elevation Capital and Z47 are long-term partners invested in our vision. Our founders built and exited Cogno AI - they understand what it takes to build AI companies that earn enterprise trust.

We’re committed to creating a fair, respectful, and inclusive workplace. From hiring to growth opportunities, our decisions are based on merit, skills, and potential, never on gender, identity, background, or any other personal characteristic. Talent has no labels here, and everyone is welcome to grow and thrive with us.