Senior Engineering Manager

Overview

• Lead and inspire a team of engineers to develop cutting-edge B2B software solutions, leveraging modern technologies and innovative methodologies.
• Drive technical excellence and strategic decision-making to deliver scalable, secure, and high-quality software products.
• Collaborate with cross-functional teams to align engineering efforts with organizational goals and product roadmaps.
• Foster a culture of continuous learning, accountability, and innovation within the engineering team.
• Engage in hands-on technical activities, including architecture reviews and production issue resolution.
• Contribute to recruitment efforts to attract and onboard top engineering talent.
• Champion the adoption of AI-driven tools and methodologies to enhance development processes and outcomes.
• Ensure timely delivery of reliable software solutions in a dynamic and fast-paced environment.

Key Responsibilities & Duties

• Manage engineering teams to deliver impactful software solutions aligned with business objectives.
• Plan and oversee sprints, ensuring scope management and removing blockers for team progress.
• Collaborate with Product and Design teams to translate requirements into actionable engineering tasks.
• Set and uphold high standards for code quality, testing, and security practices.
• Provide technical leadership in architecture decisions and code reviews for sustainable development.
• Cultivate a supportive and growth-oriented team culture through effective leadership practices.
• Collaborate across departments to ensure alignment on shared infrastructure and platform investments.
• Participate in hiring processes to recruit and retain top engineering talent.

Job Requirements

• Bachelor of Science degree in a relevant field is required.
• Minimum of 8 years of software engineering experience, including 2-3 years in management roles.
• Proficiency in modern JavaScript/TypeScript stacks such as React, Next.js, and Node.js.
• Experience with agile practices, sprint planning, and cross-functional collaboration.
• Strong technical engagement skills for architecture reviews and code feedback.
• Familiarity with API-driven architectures and real-time communication platforms.
• Exposure to AI/ML integration in production environments is preferred.
• Demonstrated ability to grow and develop engineering teams effectively.