Engineering Manager

About the role

Syndigo gets great products chosen. Every choice in commerce, whether by a shopper, a search engine, a marketplace, or an AI assistant, is made on product data, and our software makes that data complete and trusted and moves it across the industry's largest two-sided commerce network: 15,000+ brands and 3,500+ retailers. Companies like AutoZone, Colgate-Palmolive, Dole International, Unilever, and Walgreens trust Syndigo to get their products chosen. Learn more at www.syndigo.com.

**This is a hybrid position that requires 2 days per week in the office at our Bangalore location**

Reporting directly to the Director of Engineering, the Manager, Engineering will lead a high-performing engineering team responsible for building and scaling mission-critical systems. This role combines hands-on technical leadership with people management responsibilities, partnering closely with Product, Design, QA, DevOps, and Engineering leaders to deliver reliable, scalable, and high-quality software solutions. We are looking for a collaborative leader who can drive execution, mentor engineers, influence technical direction, and contribute to the broader engineering strategy while fostering a culture of ownership, innovation, and continuous improvement.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Lead, mentor, and grow a team of 8–12 software engineers across multiple experience levels • Manage hiring, onboarding, performance management, career development, and retention initiatives • Conduct regular 1:1 meetings, establish clear goals, and provide constructive feedback to support team growth • Foster a culture of collaboration, accountability, technical excellence, and continuous improvement • Drive end-to-end delivery of roadmap commitments with a focus on quality, reliability, and timely execution • Partner with Product Management to prioritize roadmap initiatives while balancing feature delivery and technical investments • Manage sprint planning, estimations, dependency management, and risk mitigation across teams • Track and improve engineering metrics related to delivery, quality, operational health, and system reliability • Define and guide the technical direction for the team’s services and platforms • Promote engineering best practices including code quality, automated testing, CI/CD, observability, security, and operational excellence • Participate in architecture discussions, design reviews, code reviews, and incident management activities • Drive improvements in scalability, reliability, performance, and technical debt reduction • Collaborate closely with Product, Design, QA, DevOps, and customer-facing teams to align on priorities and business outcomes • Communicate effectively with stakeholders and senior leadership on progress, trade-offs, risks, and delivery expectations • Contribute to organization-wide engineering initiatives, hiring efforts, and process improvements

WE SHOULD TALK IF THIS SOUNDS LIKE YOU

• 8+ years of professional software engineering experience, including 2+ years of direct people management experience • Proven experience building, shipping, and operating large-scale distributed systems in production environments • Strong technical expertise with technologies such as Java, .NET, Python, or Node.js along with microservices and REST APIs • Hands-on experience working with SQL/NoSQL databases and cloud platforms such as AWS, Azure, or GCP • Experience with Agile/Scrum methodologies, DevOps practices, and CI/CD pipelines • Strong communication, stakeholder management, and conflict resolution skills • Demonstrated success in hiring, mentoring, and retaining engineering talent • Experience driving engineering best practices across quality, scalability, reliability, and operational excellence • Experience participating in architectural discussions and guiding technical decision-making • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience • Experience in SaaS, e-commerce, master data management (MDM), product information management (PIM), or data syndication domains (preferred but not required) • Experience leading distributed teams across multiple geographies (preferred but not required) • Familiarity with AI/ML-enabled product features (preferred but not required)