AI Content Systems Lead (Microsoft Stack) [J290]

We are looking for an AI Content Systems Lead to design, build, and activate an enterprise HR Learning content system on the Microsoft stack.

This is not a content creation role. This is a system-builder and execution-leader role.

We are sourcing a senior system builder who leads execution, not an advisory strategist. This role is about building, running, and proving a capability, then defining what it takes to sustain it.

You will:

• Build the content system
• Lead execution of the content squad during activation
• Prove what long-term capability is required to sustain it

Success is measured by delivery, enforceability, and operational clarity-not by strategy decks or content volume.

Role Purpose

Design, operationalize, and validate a content systems model that enables AI to reliably retrieve, route, and trust content in the flow of work, while owning execution during activation and defining the long-term operating model required to sustain the capability.

Core Responsibilities1. System Design & Activation

• Define enforceable enterprise content standards for federated teams
• Establish what "AI-ready content" means at a system level
• Define and implement metadata models that support AI retrieval and trust
• Design and test content lifecycle and governance models
• Partner with product, platform, and AI teams to validate feasibility

2. Content Squad Execution (Non-Negotiable)

• Own and lead day-to-day execution of the content squad
• Own the backlog, sequencing, and delivery cadence
• Run execution ceremonies and track delivery in systems (e.g., Azure DevOps)
• Drive delivery against timelines and surface risks early
• Act as the single execution owner during activation
• Ensure delivery does not depend on Experience Design

3. Long-Term Capability Definition

• Identify execution friction and root causes
• Define future ownership, roles, and resourcing
• Produce system-ready artifacts and a validated operating model, * AI systems can reliably retrieve and trust content
• Content standards and governance are tested through execution
• Leadership has clear, evidence-based recommendations for:
• Where this capability should live
• What roles are required
• What ongoing investment is needed

Engagement Outcome

By the end of the engagement, you will deliver:

• Operational content standards and governance
• A validated AI-ready content systems model
• Execution-tested proof of how this capability runs
• A clear recommendation for long-term ownership and resourcing

Do you have experience in Azure?, * Designing enterprise-scale content or knowledge systems

• Leading execution in ambiguous, cross-functional environments
• Owning backlogs and delivery within product or platform teams
• Defining enforceable standards and governance
• Working closely with engineering and product teams
• Exposure to AI-enabled search, retrieval, or recommendation systems
• Translating discovery work into operational capabilities

• Attractive salary
• Large freedom and real influence
• No unhealthy competition, team approach to meeting challenges
• Remote-first, flexible working culture
• Company apartments in cool cities across Europe: work and enjoy a memorable getaway

We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions - always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here.