AI Catalyst Lead

LTM

Kraków

Hybrid

PLN 120,000 - 180,000

Full time

14 days+

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Job summary

LTM in Krakow, Poland, is seeking an AI Catalyst Lead for a 6-month hybrid contract. You will drive adoption of AI tooling, embed with engineering teams, and design enablement projects, workshops, and guides tailored to different engineering personas.

You will act as a hands-on partner, write real code alongside customer teams to demonstrate AI-assisted development, diagnose blockers, translate learnings into scalable playbooks, and collaborate with the platform team to prioritise improvements

Qualifications

  • 6-10 years in software engineering or platform engineering.
  • Experience with AI coding assistants in production contexts.
  • Proven track record working across teams or as a technical lead.
  • Experience designing enablement programmes or training for engineers.
  • Fluency with modern development workflows and CI/CD.

Responsibilities

  • Drive adoption of AI tooling and embed with engineering teams.
  • Design and deliver enablement projects, workshops, and self-serve guides for different engineering personas.
  • Guide teams from initial setup to confident daily use and align adoption with metrics.
  • Write real code with customer teams to demonstrate AI-assisted development patterns.
  • Diagnose blockers to adoption and translate learnings into repeatable playbooks.
  • Collaborate with product managers and engineers to prioritise platform improvements.

Skills

6-10 years software engineering exp
AI coding assistants
Cross-team collaboration
Enablement/program design
CI/CD practices

Tools

Claude Code
GitHub Copilot
Cursor

Job description

About the Company

The mission of LTM Company is to engineer meaningful technology solutions to help businesses and societies flourish. Our successful technology business serves over 2000 Global customers and now, we are in a process of expanding. LTM is extending its technology business with specific expansion plans in Poland

Title: AI Catalyst Lead

Title: AI Catalyst Lead

Location: Poland, Krakow (Hybrid)

Location: Poland, Krakow (Hybrid)

Contract: 6 Months+

Contract: 6 Months+

  • Drive adoption and timetovalue
  • Embed with engineering teams to understand their workflows identify where AI tooling aligned to standardised patterns and platforms add leverage and guide them from initial setup to confident daily use
  • Design and deliver structured enablement projects workshops office hours selfserve guides tailored to different engineering personas backend frontend platform and testing
  • Drive adoption aligned to metrics ensuring teams move from passive licence holders to active highvalue engineers delivering value back to the business
  • Act as a handson technical partner
  • Write real code alongside customer teams to demonstrate AIassisted development patterns in context not just in demos
  • Diagnose and resolve blockers to adoption whether technical cultural or workflowrelated
  • Translate early adopter learnings into repeatable playbooks that scale adoption across the organisation
  • Help teams adopt AI tooling and standardise existing developer workflows CICD pipelines and control standards
  • Serve as the voice of the developer back to the platforms team bringing structured
  • insight about where tooling falls short what features would unlock the next level of
  • value and whats creating unnecessary friction
  • Collaborate with product managers and engineers on the platform team to prioritise
  • improvements with the greatest customer impact
Role Description
About the Company

The mission of LTM Company is to engineer meaningful technology solutions to help businesses and societies flourish. Our successful technology business serves over 2000 Global customers and now, we are in a process of expanding. LTM is extending its technology business with specific expansion plans in Poland

Title: AI Catalyst Lead

Title: AI Catalyst Lead

Location: Poland, Krakow (Hybrid)

Location: Poland, Krakow (Hybrid)

Contract: 6 Months+

Contract: 6 Months+

Description
  • Drive adoption and timetovalue
  • Embed with engineering teams to understand their workflows identify where AI tooling aligned to standardised patterns and platforms add leverage and guide them from initial setup to confident daily use
  • Design and deliver structured enablement projects workshops office hours selfserve guides tailored to different engineering personas backend frontend platform and testing
  • Drive adoption aligned to metrics ensuring teams move from passive licence holders to active highvalue engineers delivering value back to the business
  • Act as a handson technical partner
  • Write real code alongside customer teams to demonstrate AIassisted development patterns in context not just in demos
  • Diagnose and resolve blockers to adoption whether technical cultural or workflowrelated
  • Translate early adopter learnings into repeatable playbooks that scale adoption across the organisation
  • Help teams adopt AI tooling and standardise existing developer workflows CICD pipelines and control standards
  • Serve as the voice of the developer back to the platforms team bringing structured
  • insight about where tooling falls short what features would unlock the next level of
  • value and whats creating unnecessary friction
  • Collaborate with product managers and engineers on the platform team to prioritise
  • improvements with the greatest customer impact
Key Skills And Qualifications For This Role
  • 6-10 years in software engineering developer experience platform engineering or a directly adjacent technical role
  • Demonstrated experience with AI coding assistants eg Claude Code GitHub Copilot Cursor or similar in a professional and productionised context not just experimentation
  • Track record of working across organisational boundaries either as an internal consultant DevEx engineer or technical lead embedded in multiple teams
  • Experience designing and running enablement programmes or technical training for engineering audiences
  • Fluency with modern development workflows version control CICD IDEs code review processes
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