Beamery Limited logo

Senior QA Engineer

Job Overview

Location

London, UK

Job Type

Full-time

Category

Software Engineering

Date Posted

July 15, 2026

Full Job Description

đź“‹ Description

  • • 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), 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.
  • • Review and improve AI-generated outputs by checking 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 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.
  • • Help build our QA processes by writing and maintaining 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.
  • • We're looking for someone with 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.
  • • 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.
  • • 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.
  • • If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email [email protected]
  • • Visit our Diversity, Equality and Inclusion page https://careers.beamery.com/life-at-beamery/diversity-equality-inclusion/to learn more about progress and commitments.

🎯 Requirements

  • • 3+ years of experience in QA, data analysis, or a similar role where attention to detail and data accuracy mattered.
  • • 1+ years of experience in using Agentic tools for QA.
  • • Basic knowledge in Agentic technologies.
  • • A sharp eye for detail.
  • • An analytical mindset.
  • • Good organisational skills.
  • • Clear communication.

🏖️ Benefits

  • • Competitive salary.
  • • Opportunity to work with AI-powered products.
  • • Early hire in a growing team.
  • • Real impact on how quality is defined and maintained across the product.
  • • Inclusive culture where everybody can contribute.
  • • Reasonable adjustments and adaptations to our recruitment process available.

Skills & Technologies

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About Beamery Limited

Beamery Limited develops human-capital management software that uses AI to help enterprises attract, engage, retain, and redeploy talent. Its platform combines customer-relationship-management, applicant-tracking, and marketing-automation capabilities to create unified talent graphs. Features include candidate sourcing, skills inference, compliance tools, and analytics for workforce planning. The company serves Fortune 500 and global organizations across finance, technology, manufacturing, and retail sectors, enabling them to build talent pipelines, reduce time-to-hire, and close skills gaps. Founded in 2014 and headquartered in London, Beamery operates offices in the United States, Europe, and Asia-Pacific.

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