AI Assisted QA Lead @Outforce
Quality Assurance
Salary unspecified
Remote Location
Employment Type full-time
Posted 3wks ago

[Hiring] AI Assisted QA Lead @Outforce

3wks ago - Outforce is hiring a remote AI Assisted QA Lead. πŸ’Έ Salary: unspecified πŸ“Location: Australia and New Zealand

Role Description

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.

Qualifications

  • Trustworthy, smart, and enthusiastic with a strong command of English.
  • Willingness to proactively solve problems and respond positively to customer inquiries.
  • Good understanding of Shopify (helpful but not essential; training will be provided).
  • Accountable for customer support from first contact through to resolution.
  • Experience with adjacent ecommerce and administrative tasks (training provided).

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.
  • Experience defining and reporting on quality metrics.
  • Strong written and verbal communication skills.

Benefits

  • 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.

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.
Before You Apply
️
remote Be aware of the location restriction for this remote position: Australia and New Zealand
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
AI Assisted QA Lead @Outforce
Quality Assurance
Salary unspecified
Remote Location
Employment Type full-time
Posted 3wks ago
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