About The Position

Codility is seeking a technically confident, commercially minded Head of Solutions Engineering to lead and build its Solutions Engineering function. This is a hands-on leadership role for an individual who can operate credibly with senior engineering and talent stakeholders, support complex enterprise sales conversations, and help customers implement and adopt Codility effectively. The role involves engaging directly with strategic customers, leading technical discovery, supporting demos and technical validation, shaping implementation plans, driving successful adoption, and coaching a small team of Solutions Engineers. The Head of Solutions Engineering will define excellent Solutions Engineering practices at Codility while staying closely connected to customers and the product.

Requirements

  • Genuine technical literacy - ability to read a code snippet, understand API functionality, and engage credibly with engineering stakeholders.
  • 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.
  • Experience leading, managing, mentoring, or providing strong functional leadership to Solutions Engineers, Sales Engineers, Forward Deployed Engineers or customer-facing technical teams.
  • 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.
  • Ability 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.
  • AI-native approach, treating AI tools as a default part of how you work, fluent with LLMs and copilots, and integrating them into daily workflows.

Nice To Haves

  • Hands-on experience with REST APIs, scripting, automation, integrations, or technical troubleshooting.
  • Some exposure to assessment design, technical hiring, skills validation, or IO psychology.
  • Curiosity about what makes a good assessment.

Responsibilities

  • 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.
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