AI & Technology Solutions Lead

B Futurist moves quickly on technology. We work with external partners to improve how we operate, we are putting AI to work across the business, and we are now building the technical capability to lead that work ourselves rather than only buy it in.

This is a new role. You would own the technology we build and buy outside our ERP, and make sure the company becomes genuinely good at using AI. You set the technical direction, and the shape of the role is partly yours to define.

At a glance

• Your focus:
  The technology we build and buy outside our ERP, and how the company uses AI.
• Current stack:
  Google Workspace, Slack, Odoo and Claude.
• Reports to:
  
  Business Operations Team Leader.
• Hybrid:
  One day working from home per week. Fully remote possible for candidates based outside the Netherlands.
• Shape of the role: roughly a quarter hands‑on building, half leading the technical side of partner projects, a quarter enabling the teams.

What you will actually do

• Lead the technical side of partner projects. We build with external partners outside our ERP. You would own our side: shaping what the solution needs to be, reviewing the architecture and the code that comes back, and holding delivery to what was agreed. This is the largest part of the job.
• Bring a critical eye to AI in our ERP. Our Odoo partner runs AI projects inside the system. You would not necessarily write that code, but you would understand the technology well enough to challenge the approach, the data handling and the cost.
• Build small applications that make daily work easier. Internal tools, automations and agents around Odoo, Google Workspace and Slack, working closely with the Odoo Developer. Some you build yourself; some you specify and have someone else build. You decide which is which.
• Decide what we build and what we buy. Technical due diligence on the software we are considering – what is underneath it, what it will cost us over time, and whether building it would serve us better.
• Set how we use AI. You would define the framework: what is allowed, what data can go where, and what gets reviewed before it touches real money or real customers.
• Turn local experiments into something dependable. Colleagues across the company are already experimenting with AI. You would take the good ideas and make them robust, secure and reusable.
• Enable the teams. Around seventy colleagues are learning to work with AI. Helping them do it well is part of the job, not an afterthought.
• Get close to the work. Sit with colleagues in Trading, Supply Chain, Finance, People & Culture and Operations. Follow the handovers, question the workarounds, and agree where an improvement will make a real difference.
• Stay with what you ship. Deploy, monitor, improve and document. Measure the change in manual work, errors and adoption.

Your First Months

Understand our systems and how work actually moves through them. Propose the first priorities, and deliver one focused improvement with Business Operations. Take technical ownership of a project already running with an external partner. Use what you learn to shape where we go next. The direction is genuinely yours to propose.

What You Bring

• A software engineer first. A strong backend or full‑stack background, with applications you personally built, deployed and supported. You would still be hireable as a developer if AI did not exist.
• Strong Python or Type Script, SQL, API and authentication skills, and practical experience with cloud deployment, Git, automated testing and monitoring.
• Hands‑on experience delivering LLM applications with Claude or comparable models: tool calling, retrieval, evaluation, data privacy and reliable operation.
• You have connected systems that were never built to talk to each other. Experience with Google…