Tech Lead

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.

• 8+ years of commercial software engineering experience, ideally gained in product-led, fast-paced environments.


• Proven experience leading engineering teams, major technical initiatives, or complex software projects.


• Strong software architecture expertise, including API-first approaches, modular design, asynchronous communication patterns, and scalable system design.


• Deep backend engineering experience combined with the ability to navigate modern frontend technologies; experience with React.js is preferred.


• A strong AI-first mindset, with practical experience using LLMs and agentic AI tools as part of your everyday engineering workflow.


• Experience building and shipping user-facing products that are performant, reliable, maintainable, and thoughtfully engineered.


• Hands-on experience with Docker-based and cloud-native environments, ideally including AWS.


• Strong understanding of Agile and Lean principles, with a focus on delivering customer value incrementally rather than simply following ceremonies and processes.


• Excellent communication and stakeholder management skills, with the ability to collaborate effectively across engineering, product, design, data, and other disciplines.


• Comfortable working with globally distributed teams and across different time zones.


• A collaborative, growth-oriented mindset and willingness to challenge assumptions, learn from feedback, and continuously raise engineering standards.

• Flexible working hours with a remote-first working environment.


• Competitive compensation with significant bonus upside.


• Access to the latest AI tools and productivity software.


• Opportunity to work with a global, mission-driven team spanning multiple countries and perspectives.


• The chance to make a tangible impact on the future of education and the learning experience of students.


• A fast-paced, high-growth environment offering significant ownership and opportunities for professional development.


• A collaborative and supportive culture that values integrity, continuous improvement, open feedback, and teamwork.


• An inclusive workplace that welcomes people from diverse backgrounds and perspectives.

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