Solutions Engineer (UK / Europe)

Codility helps organisations assess and hire technical talent with confidence. Our platform gives engineering teams real signal on coding ability, problem-solving, and technical judgement at scale, helping companies make better hiring decisions in an increasingly complex technology landscape.

As AI changes how software is written, reviewed, and evaluated, Codility is helping customers rethink what strong technical hiring looks like. We are also building Codility as an AI-native organisation, where teams are expected to use AI thoughtfully to improve how we work, support customers, analyse data, scale expertise, and build better products and processes.

We’re looking for a technically confident Solutions Engineer to join our customer-facing team. In this role, you’ll partner with engineering leaders and talent teams at our largest enterprise accounts, helping them implement Codility effectively, improve the quality of their technical assessment workflows, and get more value from the platform over time. This is not a purely transactional pre-sales role. You will support sales conversations where technical expertise is needed, but you will also proactively engage with customers after purchase to ensure their integration, adoption, and long-term success with Codility.

Who You Are

• You have genuine technical literacy - you can read a code snippet, understand what an API does, and engage credibly with engineering stakeholders without faking it.
• Proven experience in a Solutions Engineering, Forward Deployed Engineering, Sales Engineering, Technical Account Management, Customer Engineering, Technical Consulting, or related customer-facing technical role within B2B SaaS.
• Proven experience working with enterprise customers with complex, global stakeholder structures.
• Comfortable discussing programming languages, developer workflows, integrations, and technical hiring scenarios with engineering leaders.
• Able to lead technical discovery, understand customer requirements, and recommend practical solutions.
• Strong analytical skills, with the ability to interpret usage data, assessment outcomes, and customer signals to identify opportunities for improvement.
• Excellent written and verbal communication skills - you can simplify technical concepts for varied audiences, from CTOs to HR teams.
• Highly organised, with strong time-management skills and the ability to manage multiple customer workstreams simultaneously.
• Solutions-oriented, demonstrating ownership and proactive problem-solving.
• Comfortable supporting both pre-sales and post-sales customer conversations where technical expertise is needed.
• Hands-on experience with REST APIs, scripting, automation, integrations, or technical troubleshooting is a plus.
• You’re AI-native and treat AI tools as a default part of how you work, not an occasional add-on. You're fluent with LLMs and copilots and integrate them into your daily workflows to automate routine work, accelerate problem-solving, and raise both your speed and the quality of your output.
• Some exposure to assessment design, technical hiring, skills validation, or IO psychology is a plus. You don’t need to be a scientist, but you should be curious about what makes a good assessment.

What the Job Involves

• Support technical sales conversations where needed, including discovery, demos, proof-of-concept discussions, technical validation, and implementation planning.
• Act as a trusted technical advisor to customers - confident discussing programming concepts, assessment configuration, integrations, and engineering hiring workflows.
• Proactively engage with strategic customers after purchase to help manage their integration of Codility and ensure they are set up for long-term success.
• Co-design and configure technical assessments with customers, advising on task selection, language coverage, difficulty calibration, and role-appropriate benchmarking.
• Lead technical workshops and enablement sessions with engineering, talent, and operations teams to drive adoption and improve customer confidence in the platform.
• Review platform usage, assessment results, and customer data to identify risks, blockers, and opportunities for improvement.
• Help customers understand whether their assessments are producing useful signal, and guide them toward more effective, scalable use of the platform.
• Own routine technical conversations independently, involving Product, Engineering, or specialist internal teams when advanced scenarios arise.
• Partner closely with Account Managers and Customer Success Managers on renewal strategy, expansion opportunities, and long-term account health from a technical perspective.
• Ensure customers are well informed about new product releases, technical capabilities, and best practices.
• Collaborate with Product and Engineering to advocate for customer needs, surface technical blockers, and track enhancements.
• Stay close to how AI is changing software engineering and technical assessment, and help customers think through what this means for their hiring processes.
• Serve as the technical voice of the customer internally, championing improvements across product, content, and customer experience.

Ready to help engineering organisations build smarter, more technically rigorous hiring processes? Apply today.