Accountabilities

• Lead and mentor a globally distributed engineering team, fostering a high-performing, inclusive, collaborative, and feedback-driven culture.
• Provide hands-on technical leadership through coding, pair programming, peer reviews, architecture design, and technical decision-making.
• Establish and maintain high standards across software architecture, testing, CI/CD, code quality, reliability, and engineering best practices.
• Promote a DevOps mindset in which engineers take ownership of their work throughout the full development lifecycle, from design through deployment and ongoing operation.
• Architect and deliver scalable, maintainable systems and user-facing features with measurable impact on learners.
• Work with AI specialists to incorporate adaptive and personalized learning capabilities into the platform.
• Partner closely with product, design, and data teams to define scope, prioritize effectively, shape the roadmap, and align technical delivery with product outcomes.
• Support engineers through regular 1:1s, career development conversations, coaching, and constructive feedback.
• Continuously improve engineering practices, delivery speed, reliability, team workflows, and technical decision-making.
• Help shape the technology organization as it scales, contributing to how teams, systems, and engineering processes evolve.

Accountabilities

• Lead and mentor a globally distributed engineering team, fostering a high-performing, inclusive, collaborative, and feedback-driven culture.
• Provide hands-on technical leadership through coding, pair programming, peer reviews, architecture design, and technical decision-making.
• Establish and maintain high standards across software architecture, testing, CI/CD, code quality, reliability, and engineering best practices.
• Promote a DevOps mindset in which engineers take ownership of their work throughout the full development lifecycle, from design through deployment and ongoing operation.
• Architect and deliver scalable, maintainable systems and user-facing features with measurable impact on learners.
• Work with AI specialists to incorporate adaptive and personalized learning capabilities into the platform.
• Partner closely with product, design, and data teams to define scope, prioritize effectively, shape the roadmap, and align technical delivery with product outcomes.
• Support engineers through regular 1:1s, career development conversations, coaching, and constructive feedback.
• Continuously improve engineering practices, delivery speed, reliability, team workflows, and technical decision-making.
• Help shape the technology organization as it scales, contributing to how teams, systems, and engineering processes evolve.