QA Tech Lead Colombia
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Job Summary
This is a remote position.
Our client is a fast-growing AI technology company transforming the retail industry through advanced solutions powered by Artificial Intelligence Computer Vision and real-time analytics. Their innovative platforms help global retail and grocery brands optimize operations improve customer experiences and scale smarter.
They are seeking an experienced and highly driven QA Tech Lead to lead quality assurance initiatives across complex AI-powered products and integrated hardware-software systems. This is a senior-level hands-on leadership role ideal for someone passionate about quality process improvement and technical excellence in fast-paced R&D environments.
As the QA Tech Lead you will take ownership of QA processes testing strategy and overall product quality across multidisciplinary engineering teams. You will play a key role in driving quality standards mentoring QA professionals and ensuring reliable product delivery throughout the entire development lifecycle.
- Perform hands-on manual testing for complex AI-driven and hardware-software integrated systems
- Lead QA initiatives from a technical perspective and establish high-quality standards across products
- Define implement and continuously optimize QA methodologies workflows and best practices
- Own the end-to-end quality process from requirements analysis through production release
- Collaborate closely with Product Engineering AI and R&D teams to ensure seamless delivery
- Identify product risks prioritize issues effectively and support timely resolution
- Adapt QA planning and execution based on evolving business and technical priorities
- Promote a strong culture of quality accountability collaboration and continuous improvement
- Mentor and provide technical guidance to QA team members
- Bachelors degree in Computer Science Engineering or a related technical field
- 5 years of hands-on QA experience in complex technical environments
- 2 years of experience in a QA Tech Lead Team Lead or similar leadership role
- Strong expertise in manual testing methodologies and QA processes
- Proven experience leading QA efforts in dynamic fast-paced environments
- Experience working with at least one of the following:
- AI-based systems
- Computer Vision technologies
- Hardware-Software integrated solutions
- AI-based systems
- Strong analytical organizational and prioritization skills
- Ability to manage shifting priorities while maintaining high-quality execution
- Strong ownership mindset with excellent problem-solving capabilities
- Effective communicator and collaborative team player
- Previous experience working within AI or retail technology environments
- Experience improving QA frameworks processes or testing infrastructure
- Strong understanding of product lifecycle management and release processes
Required Skills:
Perform hands-on manual testing for complex AI-driven and hardware-software integrated systems Lead QA initiatives from a technical perspective and establish high-quality standards across products Define implement and continuously optimize QA methodologies workflows and best practices Own the end-to-end quality process from requirements analysis through production release Collaborate closely with Product Engineering AI and R&D teams to ensure seamless delivery Identify product risks prioritize issues effectively and support timely resolution Adapt QA planning and execution based on evolving business and technical priorities Promote a strong culture of quality accountability collaboration and continuous improvement Mentor and provide technical guidance to QA team members
Required Education:
Perform hands-on manual testing for complex AI-driven and hardware-software integrated systemsLead QA initiatives from a technical perspective and establish high-quality standards across productsDefine implement and continuously optimize QA methodologies workflows and best practicesOwn the end-to-end quality process from requirements analysis through production releaseCollaborate closely with Product Engineering AI and R&D teams to ensure seamless deliveryIdentify product risks pri
