AI Catalyst Lead

Mindbox is a tech-driven company connecting top IT talents with technology projects for leading enterprises across Europe. They are building a cutting-edge engineering platform organisation to embed AI capabilities throughout the software development and delivery lifecycle.

• 6–10 years in software engineering, platform engineering, developer experience, or similar technical leadership roles.
• Demonstrable experience with AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) in production environments.
• Proven success in cross-team or consultancy-style roles delivering technical enablement at scale.
• Ability to design and run enablement programmes or developer-focused training sessions.
• Fluency in modern engineering toolchains: version control (Git), CI/CD, IDEs, code review, and deployment workflows.
• Capable of assessing existing toolchains and making tailored, pragmatic recommendations.
• Excellent presentation and storytelling skills, able to communicate technical concepts from individual contributors to engineering directors.
• Self-starter who thrives in ambiguity, bringing structure and identifying opportunities proactively.

• Drive AI adoption and accelerate time-to-value.
• Partner with engineering squads to assess workflows and implement AI tooling aligned to standard patterns and platforms.
• Lead structured adoption initiatives: enablement workshops, office hours, and self-serve guides tailored for backend, frontend, platform, and QA engineers.
• Define and track metrics to ensure teams move from passive licence holders to active, high-value users delivering measurable impact.
• Write real production code with customer teams to showcase AI coding assistants in real-world scenarios.
• Diagnose and resolve adoption blockers, whether technical, cultural, or process-driven.
• Turn early adoption lessons into repeatable playbooks for enterprise-scale rollouts.
• Streamline developer workflows, CI/CD pipelines, and governance controls leveraging AI automation.
• Act as the voice of the developer, providing structured feedback to platform teams on feature improvements and friction points.
• Collaborate with product managers and engineers to prioritise enhancements delivering the greatest value.