AI Assisted QA Lead
Remote QA Lead who owns test strategy, coverage, and quality for a SaaS product while personally using AI tools to generate and run test cases, triage failures, and drive fixes with engineering. Hands-on contract role covering automated and manual testing, working AU hours.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Lead
- Employment
- Contract
- Experience
- 5+ years
- Category
- Qa
- Posted
Skills
Must have
- 5+ years of experience in QA and test management for software products, including test strategy and planning
- 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
- Experience defining and reporting on quality metrics
- Strong written and verbal communication skills
- Genuinely hands-on - wants to be building and running tests, not just managing a process
- Curious and pragmatic about AI tools, with judgement on when to trust them
- Structured and methodical, with strong attention to detail
- Comfortable owning quality outcomes for a live SaaS product with real customers
- Clear communicator of quality risk and test coverage to technical and non-technical audiences
- Self-directed and comfortable establishing practices in a role that is new to the organisation
Nice to have
- 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
Full description
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.