Senior Engineering Manager - Quality

Beyond ONE

We don t think about job roles in a traditional way. We are anti-silo. Anti-career stagnation. Anti-conventional.

Beyond ONE is a digital services provider radically reshaping the personalized digital ecosystems of consumers in high-growth markets around the world. We re building a digital services aggregator platform, with a strong telco foundation, and a profitable growth strategy that empowers users to drive their own experience subscribe once, source from many, and only pay for what you actually use.

Since being founded in 2021, we ve acquired Virgin Mobile MEA, Friendi Mobile MEA and Virgin Mobile LATAM (with 6.5 million subscribers) and 1600 dedicated colleagues across Chile, Colombia, KSA, Kuwait, Mexico, Oman and UAE.

To disrupt for good takes a rebellious spirit, a questioning mind, and a warm heart. We really care about how to get things done and not who manages who. We benefit from our diversity, and together, we disrupt the way we and others think about our lives for good.

Ready to shape the future of quality engineering with AI-first innovation from day one? This might just be 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)