Head of Solutions Engineering

🔥 3 hours ago

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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

• Lead and develop Codility’s Solutions Engineering function, setting the standard for how we support customers technically across pre-sales, implementation, adoption, and expansion. • Act as a hands-on technical leader for strategic enterprise accounts, leading customer implementations through to success. • Support complex technical sales conversations, including discovery, demos, proof-of-concept discussions, technical validation, security or integration questions, and implementation planning. • Coach and support Solutions Engineers in running effective discovery, delivering strong demos, managing technical objections, and driving customer confidence in Codility. • Coach and support Solutions Engineers Managing accounts post sales through integration and delivery. • 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. • Partner closely with Sales, Account Management, and Customer Success on renewal strategy, expansion opportunities and long-term account health from a technical perspective. • Build strong internal feedback loops so that customer insight from the field informs product, content, implementation, and customer experience decisions. • Stay close to how AI is changing software engineering and technical assessment, and help customers think through what this means for their hiring processes.

🎯 Requirements

• 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. • You have proven experience in Solutions Engineering, Forward Deployed Engineering, Sales Engineering, Customer Engineering, Technical Account Management, Technical Consulting, or a related customer-facing technical role within B2B SaaS. • You have led, managed, mentored, or provided strong functional leadership to Solutions Engineers, Sales Engineers, Forward Deployed Engineers or customer-facing technical teams. • You are comfortable acting as a player-coach: setting standards, coaching others, and building process, while still personally owning important customer conversations. • Proven experience working with enterprise customers with complex, global stakeholder structures. • Able to lead technical discovery, understand customer requirements, and recommend practical solutions. • 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. • 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.