Senior QA Engineer in London

ABOUT BEAMERY

With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery’s 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 world’s 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 we’re 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.

ABOUT THE ROLE

Beamery’s 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 world’s 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, you’ll be the person who checks and improves the quality of job architecture outputs we produce. You’ll 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 data, using AI agentic tools (e.g. Claude), and has a sharp eye for detail. You’ll also help build and document the QA processes we use, so you’ll have a real say in how things are done.

What will you do as a Senior QA Engineer at Beamery?

• Review and improve AI-generated outputs.
• Check AI-generated role profiles against our quality standards, looking at skills, proficiency levels, and priority assignments to make sure they’re 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 Beamery’s 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 Beamery’s QA activities.
• Flag anything that needs a decision before sign-off and communicate clearly about what changes you’ve made and why.
• Collaborate with Data Science.
• 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 what’s 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 don’t 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 that’s 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.

Who are we looking for?

• Experience (3+ years) in QA, data analysis, or a similar role where attention to detail and data accuracy mattered.
• Experience (1+ years) in using Agentic tools for QA.
• Basic knowledge in Agentic technologies.
• A sharp eye for detail, you’re the kind of person who spots the inconsistency everyone else missed.
• An analytical mindset, when something looks wrong, you don’t just fix it; you want to understand why it happened so it doesn’t 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 you found and what you changed to both technical and non-technical people, in writing and in conversation.
• Comfort with ambiguity, some of our processes are still being built out, and you’re happy to help shape them rather than waiting for a playbook.

This is not a checklist of requirements, don’t worry if you don’t tick every box. We’d still love to hear from you.

Nice to have:

• Any exposure to AI-generated content, NLP outputs, or taxonomy/classification systems.
• An interest in HR technology, talent management, or how organisations think about skills and roles.
• Experience defining what “good” looks like for data, for example, writing acceptance criteria or quality metrics.
• You’ve helped set up a process or workflow from scratch, even informally.

Why this role?

This is an early hire in a growing team. As the first QA Analyst focused on job architecture at Beamery, you’ll have a real impact on how quality is defined and maintained across the product. You’ll sit at the intersection of Data Science and customer delivery, and your work will directly shape the outputs that enterprise clients rely on.

If you care about getting the details right, want to work with AI-powered products, and are looking for a role where you can grow and make an early mark, we’d love to talk.

Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status.