At Beyond ONE, we don’t see roles the traditional way. We’re anti‑silo, anti‑stagnation, and anti‑conventional.
We’re here to move telco beyond outdated, monolithic stacks. With a strong foundation behind us, we’re building a digital services platform that uses the latest technology and reflects real life: human-centered, localized and inclusive, simple by design and radically personal. Subscribe once, connect to many services, and pay only for what you use.
To make that possible, we’re breaking down legacy systems, re‑architecting for scale and flexibility, and putting AI and automation at the core of everything we build. From smarter operations to proactive customer experiences and entirely new types of digital services. AI isn’t an afterthought for us, it’s the foundation of everything we’re building
Since being founded in 2021, we’ve acquired Virgin Mobile MEA, Friendi Mobile MEA, and Virgin Mobile LATAM. Today, 6.5M+ people use our services, powered by teams across the UAE, KSA, Pakistan, Kuwait, Oman, Chile, Colombia, and Mexico.
Real disruption takes curiosity, experimentation, and empathy. We don’t care about hierarchy. We care about solving problems together. If you want to build at scale, apply AI hands‑on, and create impact for millions, this is the place for you.
Role Purpose
Why this role matters
As a Senior Manager – Quality Engineering, you will redefine how we approach testing and quality assurance at scale. You’ll lead the charge in designing and implementing intelligent, AI-first testing frameworks that unlock faster releases, greater resilience, and more reliable user experiences. Your contributions will directly power the success of engineering across all our digital products and services.
What success looks like
In your first year, you will deliver a scalable, AI-augmented QA strategy that enhances test coverage and accuracy, while reducing testing cycle times. You will launch next-gen automation tools across key product teams, and build the foundation for a predictive, self-healing quality ecosystem that continues to evolve with us.
Why is this for you
If you're excited about the potential of AI to transform traditional QA, and you love building intelligent systems that lead to tangible outcomes, you’ll feel right at home here. We're looking for someone who’s excited to work cross-functionally, move fast, and make an impact that reverberates far beyond testing.
Key Responsibilities
In this role, you will:
● Lead and define the organization’s AI-first Quality Engineering vision, integrating intelligent automation at every layer of the test lifecycle.
● Build, manage, and mentor a high-performing, geographically distributed QE team across manual, automation, and AI-driven testing disciplines.
● Drive adoption of AI-augmented testing platforms like SOFI, Testim, Mabl, Functionize, or Diffblue to automate and optimize quality operations.
● Architect robust, scalable, and cloud-native test automation frameworks for UI, API, functional, non-functional (performance/security), and regression testing with CI/CD integration.
● Design and implement strategies for AI-generated test cases, failure prediction, defect triaging, and smart prioritization using ML and LLMs like ChatGPT and Copilot.
● Collaborate closely with Product, DevOps, and Engineering leads to align quality goals with delivery roadmaps.
● Establish best practices in quality metrics definition and reporting—test coverage, test flakiness, defect leakage—delivered via intelligent dashboards and predictive analytics.
● Champion a culture of ownership, experimentation, and innovation within the Quality Engineering function.
Qualifications & Attributes
We’re seeking someone who embodies the following:
- Education
Bachelor’s degree in Computer Science or a related technical field.
- Experience
10+ years in software quality engineering or testing roles, with at least 3 years in hands-on leadership/management positions. Proven experience building enterprise-scale test frameworks and managing high-performing quality teams in Agile/DevOps environments.
- Technical Skills
Must-haves:
✓ Hands-on experience with manual and exploratory testing techniques
✓ Strong programming skills in Java, .NET, Python, JavaScript, or TypeScript
✓ Expertise in test automation tools such as Selenium, Cypress, Playwright, Appium, and REST Assured
✓ Experience with continuous integration tools (e.g., Jenkins, Github Actions, GitLab CI/CD, CircleCI)
✓ Familiarity with cloud platforms such as AWS, Azure, or GCP as well as on-prem deployments
✓ Proven ability to build, evaluate, and integrate AI-powered testing frameworks and strategies
✓ Experience with AI/ML applications in QA (e.g., AI test generation, anomaly detection, NLP-powered failure analysis)
Nice-to-haves:
✓ Past experience building internal AI tooling or custom QA bots
✓ Familiarity with LLMs and prompt engineering for use in test scenario generation and bug documentation
✓ Knowledge of testing platforms like Katalon AI, TestSigma AI, or similar
Unique Attributes
- Thrives in a fast-paced, high-impact environment with complex technical challenges
- Proactive decision-maker who brings clarity to ambiguity and leads with purpose
- Strong mentorship instincts and people leadership skills; committed to team development
- Relentlessly curious about new technologies and how to apply them practically
- Collaborative communicator who brings people together around a shared quality vision
- Deeply committed to test integrity, performance, and the end-user experience
What we offer:
- Rapid growth in your craft – Work on large-scale, high-impact systems that push you to think about scalability, automation, and customer experience.
- A flexible work setup – Hybrid environment with the option to work from home two days a week, designed around collaboration.
- Support that matters – Competitive healthcare and relevant market benefits to keep you covered, with packages tailored for each country.
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