Senior QA Engineer

With the rapid expansion of AI and automation the future of work has never been more challenging for organizations. Beamerys unique jobs skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment mobility upskilling diversity work architecture and workforce planning for some of the worlds most forward-thinking companies.

We believe that where you work is much more than just a job. Millions of people are being left behind every day in their careers and were on a mission to fix this by creating equal access to meaningful work skills and careers for all.

We are an equal opportunity employer committed to building a representative Beamery creating an equitable inclusive and engaging environment for our people.

So what are you waiting for Join us and help us transform the future of work once and for all.

Whats ahead and why its an exciting time to join the team:

Deepening our native integrations with SAP Workday Microsoft and Linked In to seamlessly embed our skills intelligence into the platforms where critical workforce decisions are made.

Embedding our agentic AI to help customers plan smarter for the future powering workforce strategies internal mobility and skills forecasting.

Advancing our use of proprietary LLMs and knowledge graph technology to help organizations unlock broader talent pools make fairer decisions and expand access to opportunity at scale.

But its not all about creating high-quality products we also very much value the company culture we have worked hard to create; built on trust empathy & honesty ensuring our workforce is able to bring their full selves to work.

Beamerys Job Architecture product uses AI to generate structured role profiles including skills tasks proficiency levels human agency and priorities at scale for some of the worlds largest enterprises. These outputs go directly into our customers talent platforms so accuracy and consistency matter in everything we deliver.

As a Senior QA Engineer youll be the person who checks and improves the quality of job architecture outputs we produce. Youll work closely with our Data Science and Professional Services teams to review AI-generated data spot issues fix errors and make sure each project is delivered accurately and on time.

This is a great role for someone who enjoys working with datausing AI agentic tools (e.g. Claude) has a sharp eye for detail. Youll also help build and document the QA processes we use so youll have a real say in how things are done.

• Check AI-generated role profiles against our quality standards looking at skills proficiency levels and priority assignments to make sure theyre accurate and consistent.

• Spot errors gaps or inconsistencies in the data and fix them making sure the overall structure stays intact.

• Work with the Professional Services team to manage the QA stage of each project keeping things on track and within agreed timelines.

• Review Beamerys Taxonomies and ensure the accuracy of Skills Tasks and Role titles.

• Use AI agentic tools like Claude to review the output and implement deterministic agentic flow to accelerate and scale Beamerys QA activities.

• Flag anything that needs a decision before sign-off and communicate clearly about what changes youve made and why.

• Work with the Data Science team on defining implementing and tracking QA metrics to enhance the AI output quality.

• Keep a clear record of the issues you find during QA what went wrong how often it happens and whats likely causing it so the Data Science team can improve the AI pipeline.

• Help test pipeline updates between projects to check that fixes work as expected and dont introduce new problems.

• Turn your QA findings into straightforward recommendations that the team can act on.

• Write and maintain documentation for our QA workflows so that new team members can get up to speed quickly.

• Spot gaps in our current quality checks and suggest improvements whether thats adding new review steps refining how we measure quality or updating what good looks like.

• Help shape our quality standards as the product and customer needs evolve.

• Experience (3 years) in QA data analysis or a similar role where attention to detail and data accuracy mattered. Internships and placement years count.

• Experience (1 years) in using Agentic tools for QA.

• Basic knowledge in Agentic technologies.

• A sharp eye for detail youre the kind of person who spots the inconsistency everyone else missed.

• An analytical mindset when something looks wrong you dont just fix it; you want to understand why it happened so it doesnt happen again.

• Good organisational skills you can manage your own work across a few projects at once without things falling through the cracks.

• Clear communication you can explain what…