Engineering Manager

As we expand our platform into an AI-native procurement operating system, we’re looking for an Engineering Manager who combines strong technical depth with exceptional people and delivery leadership. This is a role for someone who thrives in high-velocity, high-impact environments — someone who can architect complex systems, coach and grow engineers, and drive execution across multiple product lines. You will work closely with Product, Design, Data, and GTM teams, and play a pivotal role in shaping the technical backbone of our next stage of growth. This is a full-time, in-office role based at our HQ in Gurugram.

What will you do : Technical Leadership

Lead architecture, design, and development of scalable, secure, and high-performance systems across our core procurement platform.

• Own technical decision-making across multiple product pods;

enforce engineering best practices, code quality, and architectural consistency.

Work hands-on where needed to unblock teams, review code, design systems, and raise the engineering bar.

People & Team Leadership

Manage, mentor, and grow a team of Backend, Frontend, and Full-Stack Engineers.

Drive hiring, onboarding, performance reviews, and talent development.

Build a culture of ownership, craftsmanship, speed, and healthy debate.

Execution & Delivery

Own end-to-end delivery of projects, ensuring high-quality releases on time.

Transform product requirements into technical plans, sprints, and milestones.

solve problems before they escalate.

Cross-Functional Collaboration

Partner closely with Product Managers on discovery, scoping, and prioritization.

Work with Data & AI teams to integrate ML / GenAI capabilities into core workflows.

Collaborate with QA, DevOps, and Design to ensure smooth releases and exceptional user experience.

What you would bring :

Technical Depth

6–12 years of engineering experience with at least 2–4 years in a leadership or EM role.

Strong command over system design, distributed systems, microservices, API architectures, and cloud-native technologies (AWS / GCP).

Strong backend experience (Ruby on Rails, Go, Python — any modern backend stack).

Solid understanding of databases, caching, queues, CI / CD, observability, and security.

Leadership & Communication

Proven experience managing and scaling engineering teams in a high-growth SaaS or product startup.

Ability to influence without authority and align cross-functional stakeholders.

Capacity to simplify complex technical concepts for business and product teams.

Mindset & Culture

High ownership, high velocity, and a bias for action.

A builder’s mindset — comfortable with ambiguity and 0→1 problem-solving.

Strong customer empathy and a desire to build category-defining products.

Someone who raises the bar for the entire engineering org.