Engineering Manager

Summary

Join Testlio as an Engineering Manager to lead a team of Software Engineers and Data Scientists in building AI-powered solutions. You will play a key role in product discovery, collaborating with stakeholders to understand product challenges and influence both technical strategy and product direction. This role offers a unique opportunity to grow into a product-minded engineering leader. Shape the future of testing with AI, make a tangible impact on client success, and contribute to a great, inclusive, remote-first company culture. Testlio offers flexible paid time off, stock options, and a learning stipend. We are a growing, profitable company with exceptional clients.

Requirements

• A university degree in Computer Science, Software Engineering or equivalent
• 3-5 years of experience in leading & motivating a team of 5+ software engineers, fostering a positive and productive work environment, using agile methodologies
• 5-10 years of full-stack coding experience, building performant, scalable, and modern cloud-native applications
• Fluency in English, with excellent written and verbal communication skills
• Organized & thorough. Committed to quality, with a meticulous approach to ensuring standards and processes are met or exceeded
• Growth Catalyst. Passionate about developing team productivity and technical excellence, fostering an environment of continuous learning and improvement
• Results-oriented, with data-driven decision-making and a focus on delivering impactful outcomes
• Preference for a remote working environment, to lead a distributed team in the EMEA timezone

Responsibilities

• Lead a high-performing team of Engineers and Data Scientists to design and deliver AI-powered features and systems that directly impact our users and business outcomes
• Driving Scrum rituals, backlog prioritization, and technical design reviews to balance rapid iteration with long-term scalability
• Collaborating closely with stakeholders across the business to translate complex problems into actionable, impactful engineering work—owning the solution from concept to deployment
• Coaching engineers to grow both their technical skills and their product-thinking mindset, with a strong focus on building AI-augmented capabilities and high ownership
• Leverage metrics and data-driven insights to inform key decisions and optimize team performance
• Championing continuous learning through code reviews, cross-training, and documentation practices that eliminate knowledge silos and support team resilience

Preferred Qualifications

• Strong affinity with our tech stack, including Python, AWS, and Node.js, is preferred
• Familiarity with React, TypeScript, GraphQL, MySQL, and Kafka is also beneficial
• AI/ML experience is a plus

Benefits

• Flexible paid time off—including national holidays, personal days, and sick days
• Stock options
• $300 annual learning stipend to support your personal and professional development