AI Catalyst Lead

Our requirements

• 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, beyond experimentation.
• 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 ICs to Engineering Directors.
• A self-starter who thrives in ambiguity, bringing structure where needed and identifying opportunities proactively.

Your responsibilities

• 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.
• Be a Hands-On Technical Partner
• Write real production code with customer teams to showcase AI coding assistants in real-world scenarios, beyond simple demos.
• 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.
• Note: Detailed project information will be shared during the recruitment process.

About the project

This is how we organize our work

This is how we work on a project

• code review
• Continuous Deployment
• Continuous Integration
• team-level deployment

What we offer

• Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.)
• Hybrid work setup – 6 days per month from the office
• Collaborative team culture – work alongside experienced professionals eager to share knowledge
• Continuous development – access to training platforms and growth opportunities
• Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
• High quality equipment – laptop and essential software provided

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of professional training & courses
• life insurance

Mindbox Sp. z o.o.