AI Catalyst Lead
⚲ Kraków
22 000–27 000 zł netto (+ VAT) / mies.
Wymagania
- Git
- Claude Code
- GitHub Copilot
- Cursor
Opis stanowiska
Nasze wymagania:
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.
O projekcie:
We are building a cutting-edge engineering platform organisation to embed AI capabilities throughout the software development and delivery lifecycle.
As AI Catalyst Lead, you will accelerate the adoption of AI-driven tools and workflows across multiple engineering teams. This role serves as a critical bridge between AI-enabled developer platforms and the engineering teams that rely on them. It is ideal for someone who is equally confident writing code and designing adoption strategies with senior engineering stakeholders.
You will work hands-on, helping teams unlock productivity with AI-assisted development tools, streamline workflows, and create scalable adoption playbooks.
Sounds like your kind of challenge?
Zakres obowiązków:
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.
Oferujemy:
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
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.
O projekcie:
We are building a cutting-edge engineering platform organisation to embed AI capabilities throughout the software development and delivery lifecycle.
As AI Catalyst Lead, you will accelerate the adoption of AI-driven tools and workflows across multiple engineering teams. This role serves as a critical bridge between AI-enabled developer platforms and the engineering teams that rely on them. It is ideal for someone who is equally confident writing code and designing adoption strategies with senior engineering stakeholders.
You will work hands-on, helping teams unlock productivity with AI-assisted development tools, streamline workflows, and create scalable adoption playbooks.
Sounds like your kind of challenge?
Zakres obowiązków:
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.
Oferujemy:
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
🔍 Dekoder Ogłoszenia
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AI Catalyst Lead
Rola polegająca głównie na promowaniu i wdrażaniu narzędzi AI w zespołach inżynierskich, a niekoniecznie na bezpośrednim tworzeniu zaawansowanych modeli AI.
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Demonstrable experience with AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) in production environments, beyond experimentation.
Oczekuje się, że kandydat faktycznie używał tych narzędzi w realnych projektach, a nie tylko testował je w celach demonstracyjnych.
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Proven success in cross-team or consultancy-style roles, delivering technical enablement at scale.
Rola będzie wymagać pracy z wieloma zespołami, często w roli doradcy, co może oznaczać dużą presję i potrzebę zarządzania oczekiwaniami różnych grup.
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A self-starter who thrives in ambiguity, bringing structure where needed and identifying opportunities proactively.
Oczekuje się, że kandydat będzie potrafił samodzielnie działać w niejasnych sytuacjach, tworzyć procesy i szukać nowych możliwości, co może oznaczać brak jasno zdefiniowanych zadań na początku.
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You will work hands-on, helping teams unlock
Choć brzmi to jak bezpośrednie zaangażowanie techniczne, może oznaczać głównie wsparcie w adopcji narzędzi, a nie głębokie kodowanie.