Engineering Manager – Product Engineering

Phenom; Hyderabad; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

Phenom is seeking an Engineering Manager to lead a high-performing team focused on the core platform of our AI-driven talent experience platform. You will shape architecture, drive delivery, and mentor engineers to scale enterprise-grade systems used by global customers.

You will partner with Product, TPM, and cross-functional engineering teams to deliver scalable solutions, improve reliability, and advance platform capabilities while fostering an ownership culture and engineering excellence.

Qualifications

• 10+ years of software engineering experience in product environments.
• 4+ years leading engineering teams.
• Experience designing large-scale distributed systems.
• Backend development experience in Java or similar.
• Experience building microservices-based architectures.
• Experience working with AWS or Azure.
• Experience with NoSQL databases such as MongoDB.
• Strong system design and architecture skills.
• Ability to translate business requirements into scalable technical solutions.
• Strong written and verbal communication; cross-functional collaboration in fast-paced environments.

Responsibilities

• Own end-to-end delivery of engineering initiatives from architecture to production.
• Translate product requirements into scalable technical solutions aligned with platform architecture.
• Drive engineering best practices in code quality, testing, observability, and reliability.
• Design and build large-scale distributed systems powering enterprise SaaS products.
• Lead architecture discussions and guide teams in microservices-based cloud-native systems.
• Hire, mentor, and grow a team of engineers and provide career coaching.
• Foster ownership, collaboration, and engineering excellence across teams.
• Ensure production systems meet reliability and performance targets; manage incidents.
• Identify opportunities to build reusable services and platform capabilities.

Skills

Team leadership

Software architecture

Distributed systems

Backend development (Java)

Microservices

Cloud platforms (AWS/Azure)

NoSQL databases (MongoDB)

System design

Cross-functional collaboration

Communication skills

Tools

MongoDB

AWS/Azure

Job description

Job Requirements

Engineering Manager – Product Engineering

Location: Hyderabad, India

About Phenom

Phenom is an Applied AI company transforming how people discover and choose work. Our Intelligent Talent Experience platform helps global enterprises attract, engage, hire, and develop talent through AI-driven automation and deeply personalized experiences.

Our mission is to help a billion people find the right work.

Phenom powers talent experiences for some of the world’s largest organizations, enabling them to deliver intelligent interactions for candidates, employees, recruiters, and hiring managers across the entire talent lifecycle. Our platform processes millions of talent interactions globally, combining artificial intelligence, large-scale data platforms, and modern cloud infrastructure to drive better hiring outcomes.

Our engineering teams build AI-native enterprise SaaS products at scale, solving complex challenges in distributed systems, large-scale data processing, personalization, and automation.

Role Overview

We are looking for an Engineering Manager to lead a high-performing team responsible for building and scaling core platform capabilities within Phenom’s AI-driven talent experience platform.

This role requires a strong technical leader who can drive architecture, execution, and team development while delivering scalable and reliable systems used by global enterprise customers.

You will partner closely with Product, Technical Program Management, and cross-functional engineering teams to deliver high-impact capabilities that shape the future of talent technology.

What You’ll Do

Lead Engineering Execution

• Own end-to-end delivery of engineering initiatives from architecture and design through production deployment.
• Translate product requirements into scalable technical solutions aligned with long-term platform architecture.
• Drive engineering best practices in code quality, testing, observability, and system reliability.

Architect Scalable Systems

• Design and build large-scale distributed systems that power enterprise SaaS products.
• Ensure systems are secure, highly available, and scalable to support global enterprise workloads.
• Lead architecture discussions and guide teams in building microservices-based cloud-native systems.

Build and Develop High-Performing Teams

• Hire, mentor, and grow a team of strong software engineers.
• Provide technical guidance, career coaching, and performance feedback.
• Foster a culture of ownership, collaboration, and engineering excellence.

Drive Operational Excellence

• Ensure production systems meet reliability, performance, and scalability targets.
• Lead incident management, root cause analysis, and long-term reliability improvements.
• Improve engineering efficiency through automation, tooling, and development best practices.

Influence Platform Innovation

• Contribute to platform-wide architecture and engineering strategy.
• Identify opportunities to build reusable services and platform capabilities.
• Drive initiatives that create long-term engineering leverage across teams.

What We’re Looking For

• 10+ years of experience in software engineering within product development organizations
• 4+ years of experience leading engineering teams
• Strong experience designing and building large-scale distributed systems
• Strong backend development experience in Java or similar languages
• Experience building microservices-based architectures
• Experience working with cloud platforms such as AWS or Azure
• Experience working with NoSQL databases such as MongoDB or similar
• Strong system design and architecture skills
• Ability to translate business requirements into scalable technical solutions
• Strong written and verbal communication skills
• Experience collaborating with cross-functional teams in fast-paced product environments