See what you can do with Prophix

Prophix helps finance teams streamline planning, reporting, and analysis through Prophix One™, our Financial Performance Platform. We bring automation, collaboration, and clarity together so people can focus on work that has impact. As we expand our AI-enabled capabilities, you will join a team where intelligent tools support meaningful contributions and people guide each decision with intention.

We have teams and offices across the UK, Europe, North America, and Australia.

The QA Lead drives improvements in quality, productivity, and cost efficiency through AI-enabled QA practices and optimized processes, ensuring the timely delivery of scalable, high-quality software. As a hands-on technical leader, you champion AI adoption, enforce best practices, and elevate QA performance through influence rather than direct management.

What You Will Do

• Participate in defining and enforcing QA best practices across contributors
• Promote cost-aware, value-driven quality engineering
• Identify systemic quality issues and lead improvements in workflows, tooling, execution quality, and team capabilities
• Act as a technical authority for QA in the design and evolution of AI-assisted test strategies guiding both manual and automated testing approaches
• Champion AI-first QA practices, applying AI tools to address common QA needs and improve reusability of these with practical approaches for consistent velocity and quality improvements across contributors
• Perform manual testing using AI-assisted techniques (white-box and black-box)
• Design and implementing automated tests (e.g. Jest, Playwright)
• Use prescribed AI tools (e.g. Claude Code) to accelerate QA activities
• Review and continuously improve the quality of team outputs (stories, defect reports, test cases, automation, etc.)
• Provide hands-on training and coaching to team members on AI tools, test design, and automation
• Drive adoption of best practices in prompt design and context engineering
• Stay current with AI trends and introduce improvements
• Focus effort on protecting high-risk, business-critical workflows, while making intentional trade-offs in prioritising QA activities to balance critical versus non-essential product functionality, scope of regression risk beyond immediate changes, time and infrastructure cost required to validate

Requirements What You Will Bring

To shine in this role, you bring QA expertise, strong AI fluency, and collaborative communications with a passion for improving team effectiveness. If this role excites you but you don’t meet every requirement, we still encourage you to apply. At Prophix, curiosity, adaptability, and diverse perspectives matter. Your experience may be exactly what we need.

Required Qualifications

• A mix of experience, training, or education that helps you succeed in this role.
• Degree in computer science, software engineering or related discipline, or equivalent work experience
• 7+ years in software quality assurance with strong automation focus
• Extensive experience testing SPAs, APIs, and distributed systems
• Expert understanding of QA methodologies and best practices
• Proven ability to improve team processes and enforce standards across contributors
• Hands-on experience with AI tools for QA workflows (e.g. Claude Code)
• Expertise in context engineering and iterative prompting, with the ability to guide others in effective AI usage
• Strong analytical and problem-solving skills, including the ability to evaluate and validate AI-generated outputs
• Experience driving AI adoption or transformation initiatives within QA or engineering teams
• Worked in cloud environments (preferably AWS)
• Excellent communication and collaboration skills
• Advanced scripting skills (JavaScript preferred) and experience with automation frameworks such as Jest and tools such as Playwright
• Must be legally entitled to work in the country where the role is located
• Ability to learn new tools and adapt as technology evolves
• Curiosity and openness to exploring new approaches
• Collaborative mindset when working with teams and technology