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.

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

What’s ahead — and why it’s an exciting time to join the team: 

Deepening our native integrations with SAP, Workday, Microsoft, and LinkedIn 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 it’s 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.

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), 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.

Help build our Q