AI Assisted QA Lead

This is a remote position.

OutForce is a people-first outsourcing company focused on building high-performing teams and long-term careers.

We partner with companies around the world, providing dedicated offshore professionals who work as an extension of our clients’ teams.

Unlike traditional outsourcing models, our people are fully embedded into their client’s business, creating meaningful work, stronger collaboration, and long-term career opportunities.

We are proud to be:

• Great Place to Work® Certified
  
• HR Asia Best Companies to Work for in Asia 2025
  
• HR Asia Most Caring Company Award 2025
  
• HR Asia Diversity, Equity & Inclusion Award 2025
  

At OutForce, we invest in our people through career growth opportunities, flexible work environments, supportive leadership, and a culture built on trust, collaboration, and continuous improvement.

As a tech-enabled, people-powered company, we are committed to helping our employees grow alongside some of the world’s most exciting businesses.

Join OutForce and build your future with one of Asia’s best workplaces.

Job Overview:  

Employment type: Full-time

Shift: AU working hours

Work setup: TBD

What we offer:

• Competitive compensation package aligned with your skills and experience
  

• Night differentials pay to help maximize your earnings
  

• Comprehensive HMO coverage, including a free dependent on Day 1
  

• Employee referral program with rewarding incentives
  

• 20 days of annual leave, giving you flexibility to manage your time
  

• Engaging team activities and events to keep work enjoyable
  

• Build strong, high-impact connections with key stakeholders across the business
  

• Take part in client engagement initiatives to elevate your professional experience.
  

Role Overview:  

This is a hands-on QA leadership role for a SaaS software, combining general test management with personal, day-to-day use of AI tools to build and run testing at pace. You will own QA planning, coverage and process for our product, while also personally using AI tools to generate test cases, execute test runs, and triage and remediate failures.

This is not a pure oversight or management role: you are expected to be in the tooling yourself, using AI to accelerate test creation and execution, while applying the judgement to know when AI-generated output can be trusted and when it needs to be corrected or discarded. You will work closely with engineering to lift test coverage and quality across the platform and help shape how to use AI in testing going forward.

This is a contract role to start, with scope to establish and demonstrate the value of an AI-augmented approach to QA.

What We’re Looking For:

We are looking for a trustworthy, smart and enthusiastic person with a very strong command of English and a personality that thrives on interacting with customers as well as problem solving.

A suitable candidate must be able to demonstrate a willingness to proactively solve problems and to respond positively to customer enquiries. A good understanding of Shopify would be helpful but is not essential. Training will be provided.

A key area of accountability of this role is customer support, from first contact through to resolution. Adjacent ecommerce and administrative tasks are included and will be trained. This is a customer service role first, supported by ecommerce operations, and general assistant.

Key Requirements

We’re looking for someone who is:

• Genuinely hands-on - someone who wants to be building and running tests, not just managing a process
  

• Curious and pragmatic about AI tools, with the judgement to know when to trust them and when not to
  

• Structured and methodical, with strong attention to detail
  

• Comfortable owning quality outcomes for a live SaaS product with real customers
  

• A clear communicator who can explain quality risk and test coverage to technical and non-technical audiences alike
  

• Self-directed and comfortable establishing practices in a role that is new to the organisation
  

Essential requirements:

• 5+ years of experience in QA and test management for software products, including test strategy and planning
  

• Demonstrated hands-on experience using AI tools to generate test cases, test scripts or test data
  

• Practical experience executing and maintaining automated and manual test suites
  

• Experience triaging test failures and working with engineering through to resolution
  

• Strong understanding of testing across the SDLC - functional, regression, exploratory and UAT
  

• Ability to critically evaluate AI-generated output for accuracy and coverage rather than accepting it at face value
  

• Experience defining and reporting on quality metrics
  

• Strong written and verbal communication skills
  

Desirable requirements:

• Experience testing SaaS products
  

• Exposure to telco, BSS/OSS or managed service provider environments
  

• Experience introducing or piloting AI-assisted testing tools or practices within a team
  

• Familiarity with API testing and integration patterns such as event-driven communication
  

• Experience establishing QA practices from scratch or in a growing product team
  

What You’ll Be Working On:

• Own QA and test management for a SaaS software, including test strategy, planning and coverage across releases
  

• Personally use AI tools to generate test cases and test scripts from requirements, user stories and existing product behaviour
  

• Personally execute test runs - functional, regression and exploratory - using a mix of AI-assisted and manual techniques
  

• Triage test failures, distinguishing genuine defects from flaky tests or environment issues, and drive remediation with engineering
  

• Critically review all AI-generated test cases, scripts and results for accuracy, relevance and coverage before they are relied upon
  

• Maintain and evolve the test suite, retiring redundant tests and closing coverage gaps as the product changes
  

• Define and track quality metrics - coverage, defect rates, escape rates - and report on product quality to engineering leadership
  

• Coordinate UAT planning and execution with Product and Delivery and client stakeholders
  

• Establish and document QA processes, standards and ways of working, including practical guidelines for using AI tools responsibly in testing
  

• Identify opportunities to expand AI-assisted testing into new areas of the product, and pilot new tools or techniques
  

• Work with engineering to address root causes of recurring defects, not just individual failures
  

• Escalate quality risks that threaten a release, with clear evidence and recommended action
  

Ready to take your career to the next level? Join us and be part of a team that values your growth, celebrates your achievements, and empowers you to make a real impact.

Apply today and start shaping your future with a company that invests in your success every step of the way!