Senior Software Engineering Manager

Key Responsibilities

• Lead, manage, and scale a distributed engineering team of 10–20 engineers , including senior engineers and team leads.
• Build a strong leadership bench by mentoring tech leads and emerging managers.
• Drive performance management , including goal setting, regular feedback, and career development plans.
• Foster a culture of ownership, accountability, psychological safety, and continuous learning .
• Manage hiring, onboarding, and team capacity planning to support business growth.
• Ensure high levels of team engagement, retention, and productivity across geographies.
• Own end-to-end delivery for the Insights & Recommendations domain across multiple Scrum teams.
• Establish predictable execution rhythms , ensuring on-time, high-quality releases.
• Partner with Product, Design, and Analytics to translate strategy into clear engineering roadmaps .
• Identify risks early and proactively remove organizational, technical, or process bottlenecks.
• Drive operational excellence , including metrics, KPIs, and continuous improvement initiatives.

Required Qualifications

• 8+ years of engineering leadership experience , including managing teams of 10+ engineers .
• 12+ years of overall experience in software engineering.
• Proven experience scaling and leading distributed engineering teams across geographies.
• Strong technical background in: SQL & data analytics systems ReactJS Java-based backend systems.
• Demonstrated success in delivering data-driven platforms or analytics products .
• Strong experience with Agile/Scrum at scale (multiple teams).
• Excellent communication, stakeholder management, and organizational leadership skills.
• Bachelor’s degree in Computer Science, Engineering, or related field.

Preferred Qualifications

• Experience building or leading high-performing engineering organizations at scale .
• Experience in education technology and Learning science.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Experience with data visualization and analytics frameworks.
• Prior experience managing managers or tech leads (second-line leadership).