HQ AI Enablement Lead
About Everfield
Everfield buys, builds, and grows European vertical market and specialist software companies, providing them with the tools they need to move to the next level. Our mission is to foster ambition, fuel growth, and unlock opportunities for Europe's software ecosystem.
Companies in the Everfield ecosystem follow a decentralised model, maintaining their team, brand, and offices, while focusing on what they do best: building products and supporting customers. Everfield provides support in talent acquisition, HR, and a team of experts in building and growing European B2B SaaS companies who consult on financial and operational topics. Founded in 2022, Everfield has an ecosystem presence in 10+ countries, and growing.
The Opportunity
Every department at Everfield HQ (HR, Finance, Legal, Acquisitions, Operations, etc) runs on processes that were designed before AI existed. Manual document review. Copy-paste reporting. Spreadsheets that someone, somewhere, built five years ago and nobody has dared to touch since.
We have already proven what happens when someone with the right skills and the right mandate shows up: portfolio companies that received sustained, hands-on AI attention moved from basic ChatGPT usage to deploying autonomous workflows in weeks. Now we need to bring that same energy to our own headquarters.
This is a new role. No predecessor, no playbook, no predefined toolkit. You will translate Everfield's AI strategy into department-specific roadmaps and then work shoulder-to-shoulder with HQ staff to execute them.
You will not be delivering workshops with sticky notes and leaving behind a slide deck. You will sit with a colleague, understand their workflow, prototype a solution together, and stay with them as they build confidence. You would rather ship a rough prototype on Tuesday than present a polished strategy deck on Friday.
What you will do
Map the territory. Assess AI maturity across each HQ department. Identify the biggest opportunities and build roadmaps that keep everyone moving in the same direction.
Build, not just advise. Develop proof-of-concept tools and workflow automations using AI APIs and low-code platforms. Prototyping is part of the job. Claude Code will become your main tool. We consider Zapier and n8n legacy software!
Enable through doing. Solve real problems alongside colleagues, in real time. Sit next to someone, show them what is possible and support them as they pick up new skills.
Automate the tedious. Turn manual processes into AI-powered workflows: document processing, data enrichment, reporting automation, and similar.
Create materials that scale. Build playbooks, templates, and training resources so adoption does not depend on your personal availability.
Prove the impact. Track adoption rates and report on ROI. We care about outcomes, not activity.
What success looks like
In your first 9 months:
AI maturity assessment completed for each HQ department
Every department has a documented AI Strategy and Roadmap document
A working AI agent delivered for HQ teams
Trusted working relationships in place with department heads
Hosted an AI Hackathon with the other AI colleagues
Real time savings demonstrated in at least one workflow
The beginning of a library of enablement materials produced
You will thrive here if you
Have 3–7 years of professional experience, ideally from management consulting, a startup environment, or both
Are genuinely fascinated by AI. Not from watching Youtube tutorials, but from building things yourself. You have a GitHub account with activity on it even though you are not a developer. You have tried the tools, broken them, rebuilt with them, and you have something you are proud to showcase
Have hands-on experience with AI APIs (Completions, Responses, Embeddings) from OpenAI, Anthropic, Azure, Bedrock, Openrouter or similar providers
Bring consulting instincts: stakeholder management, structured thinking, turning ambiguity into a plan
Can explain technical concepts to non-technical people without condescension or jargon
We are looking for someone early enough in their career to be genuinely immersed in how AI is changing work, with the hunger to build something from scratch
Are fluent in English. Additional European languages are a plus
You do not need to arrive as a finished product. The AI Lead will invest real time mentoring you, teaching you the enablement methodology, and helping you build technical depth. What you must bring is raw curiosity and the drive to learn fast.
What you will get
A career-defining role. You are building AI enablement for a European software ecosystem from scratch. This kind of scope does not exist at a single company.
Direct mentorship from an AI Lead who has personally driven AI transformation across multiple portfolio companies and wants to shape the next generation of AI enablers.
Real impact, fast. No six-month onboarding. You will be solving real problems in your first weeks.
Remote-first flexibility. Based anywhere in Europe, with occasional travel (up to 4 times a year).
Front-row seat to how AI is reshaping knowledge work, not in theory, but in the day-to-day reality of European software companies.
Everfield buys, builds, and grows European vertical market and specialist software companies, providing them with the tools they need to move to the next level. Our mission is to foster ambition, fuel growth, and unlock opportunities for Europe's software ecosystem.
Companies in the Everfield ecosystem follow a decentralised model, maintaining their team, brand, and offices, while focusing on what they do best: building products and supporting customers. Everfield provides support in talent acquisition, HR, and a team of experts in building and growing European B2B SaaS companies who consult on financial and operational topics. Founded in 2022, Everfield has an ecosystem presence in 10+ countries, and growing.
The Opportunity
Every department at Everfield HQ (HR, Finance, Legal, Acquisitions, Operations, etc) runs on processes that were designed before AI existed. Manual document review. Copy-paste reporting. Spreadsheets that someone, somewhere, built five years ago and nobody has dared to touch since.
We have already proven what happens when someone with the right skills and the right mandate shows up: portfolio companies that received sustained, hands-on AI attention moved from basic ChatGPT usage to deploying autonomous workflows in weeks. Now we need to bring that same energy to our own headquarters.
This is a new role. No predecessor, no playbook, no predefined toolkit. You will translate Everfield's AI strategy into department-specific roadmaps and then work shoulder-to-shoulder with HQ staff to execute them.
You will not be delivering workshops with sticky notes and leaving behind a slide deck. You will sit with a colleague, understand their workflow, prototype a solution together, and stay with them as they build confidence. You would rather ship a rough prototype on Tuesday than present a polished strategy deck on Friday.
What you will do
Map the territory. Assess AI maturity across each HQ department. Identify the biggest opportunities and build roadmaps that keep everyone moving in the same direction.
Build, not just advise. Develop proof-of-concept tools and workflow automations using AI APIs and low-code platforms. Prototyping is part of the job. Claude Code will become your main tool. We consider Zapier and n8n legacy software!
Enable through doing. Solve real problems alongside colleagues, in real time. Sit next to someone, show them what is possible and support them as they pick up new skills.
Automate the tedious. Turn manual processes into AI-powered workflows: document processing, data enrichment, reporting automation, and similar.
Create materials that scale. Build playbooks, templates, and training resources so adoption does not depend on your personal availability.
Prove the impact. Track adoption rates and report on ROI. We care about outcomes, not activity.
What success looks like
In your first 9 months:
AI maturity assessment completed for each HQ department
Every department has a documented AI Strategy and Roadmap document
A working AI agent delivered for HQ teams
Trusted working relationships in place with department heads
Hosted an AI Hackathon with the other AI colleagues
Real time savings demonstrated in at least one workflow
The beginning of a library of enablement materials produced
You will thrive here if you
Have 3–7 years of professional experience, ideally from management consulting, a startup environment, or both
Are genuinely fascinated by AI. Not from watching Youtube tutorials, but from building things yourself. You have a GitHub account with activity on it even though you are not a developer. You have tried the tools, broken them, rebuilt with them, and you have something you are proud to showcase
Have hands-on experience with AI APIs (Completions, Responses, Embeddings) from OpenAI, Anthropic, Azure, Bedrock, Openrouter or similar providers
Bring consulting instincts: stakeholder management, structured thinking, turning ambiguity into a plan
Can explain technical concepts to non-technical people without condescension or jargon
We are looking for someone early enough in their career to be genuinely immersed in how AI is changing work, with the hunger to build something from scratch
Are fluent in English. Additional European languages are a plus
You do not need to arrive as a finished product. The AI Lead will invest real time mentoring you, teaching you the enablement methodology, and helping you build technical depth. What you must bring is raw curiosity and the drive to learn fast.
What you will get
A career-defining role. You are building AI enablement for a European software ecosystem from scratch. This kind of scope does not exist at a single company.
Direct mentorship from an AI Lead who has personally driven AI transformation across multiple portfolio companies and wants to shape the next generation of AI enablers.
Real impact, fast. No six-month onboarding. You will be solving real problems in your first weeks.
Remote-first flexibility. Based anywhere in Europe, with occasional travel (up to 4 times a year).
Front-row seat to how AI is reshaping knowledge work, not in theory, but in the day-to-day reality of European software companies.