Solutions Engineer

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Codility

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2009

👥 HR Tech

🎯 Recruiter

☁️ SaaS

💰 $22M Series A - Codility on 2020-01

HR Tech • Recruitment • SaaS

Codility is a leading SaaS platform that assesses and advances software engineering skills for hiring and internal talent development. It provides timed and take-home coding assessments, live/structured interviews and a VS Code–based IDE, AI-specific task libraries, identity verification and proctoring, and Skills Intelligence to map workforce capabilities. The platform emphasizes defensible, science-backed assessments (I/O psychologist–designed), compliance and security (SOC 2, ISO 27001, GDPR/CCPA, WCAG 2. 2 AA), API integrations with applicant tracking and HRIS systems, and is used by large engineering organizations worldwide.

📋 Description

• 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.

🎯 Requirements

• Minimum of 3+ years 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. • 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.