Testlio

Engineering Manager, AI/ML

Testlio

full-time

Posted on:

Origin:  • ⛩ Anywhere in Asia

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Job Level

Mid-LevelSenior

Tech Stack

AWSCloudGraphQLJavaScriptKafkaMySQLNode.jsPythonReactTypeScript

About the role

  • Lead a team of Software Engineers and Data Scientists to design and deliver AI-powered features and systems
  • Drive Scrum rituals, backlog prioritization, and technical design reviews to balance rapid iteration with long-term scalability
  • Collaborate with stakeholders across the business to translate complex problems into actionable engineering work
  • Coach engineers to grow technical skills and product-thinking mindset
  • Leverage metrics and data-driven insights to inform decisions and optimize team performance
  • Champion continuous learning through code reviews, cross-training, and documentation practices
  • Report to the Director, Engineering

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 and data scientists, 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
  • 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
  • Experience leading or managing AI/ML initiatives and AI-powered product development is strongly preferred
  • Fluency in English, with excellent written and verbal communication skills
  • Organized & thorough with a meticulous approach to ensuring standards and processes are met or exceeded
  • 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