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Cluster AI Enablement Lead UK, Ireland & Nordics

ID: 9100

Type: Full-time

Category: Others

Company Name: Everfield

Location: United Kingdom, Ireland

Education Level: Senior (5-10 years)

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Job Description

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

Most software companies know they should be using AI. Few know how to get beyond copy-pasting from ChatGPT. Everfield runs a hands-on AI enablement programme across its portfolio of European software companies. Where we have invested sustained, in-person attention, the results have been dramatic: companies moved from zero AI adoption to deploying autonomous agentic swarms in a matter of weeks. But one person cannot cover all of Europe, and the UK & Ireland & Nordics cluster needs a dedicated AI enabler on the ground. You are one of two regional cluster AI enablement hires (the other covers DACH).

Your mission: raise AI maturity across every function at Everfield's UK & Ireland & Nordics portfolio companies. R&D comes first, then sales, support, professional services, and operations. You will be in the room, on the keyboard, showing people what is possible and staying with them until it sticks.

What you will do

  • Assess where companies stand. Run deep-dive maturity assessments at each portfolio company. Map their tools, their gaps, and their biggest opportunities.

  • Teach by doing. Deliver workshops, mini-hackathons, and roadshow events on-site. Walk developers through the implementation of coding agents, pair with support teams on AI workflows, sit with sales reps to build prompts for real deals.

  • Coach across all functions. Work with developers, product managers, support teams, and operations staff, 1-on-1 and in small groups, to embed AI into daily workflows.

  • Move engineering forward. Help R&D teams adopt spec-driven development and coding agents. Move them beyond autocomplete into structured, AI-augmented workflows where the biggest productivity gains sit.

  • Find and activate the willing. Identify the AI champions and early adopters inside each company. Equip them to drive change from within. They become your local network.

  • Take AI beyond engineering. Sales, support, professional services, and operations all have high-value AI use cases waiting to be unlocked. Find them.

  • Build content that travels. Create playbooks, e-learnings and enablement materials so knowledge scales beyond your direct interactions.

  • Be the bridge between UK & Ireland & Nordics and HQ. You are the ongoing conversation partner for UK & Ireland & Nordics portfolio companies on AI topics, and you relay patterns, insights, and blockers back to the central AI team.

  • Prove it in the data. Track improvements in deployment frequency, features delivered, support ticket resolution time, etc. If it is not showing up in the numbers, it is not working.

What success looks like

In your first nine months:

  • Maturity assessments completed across all UK & Ireland & Nordics portfolio companies

  • At least two companies moved up one step on the AI maturity path

  • First round of deep-dives and roadshow events delivered

  • Strong working relationships with ratio owners (CTOs, Head of Sales, Head of Support, etc)

  • Quick wins identified and real productivity gains delivered in at least two companies

You will thrive here if you

  • Have 3–7 years of professional experience, ideally with a consulting or advisory background

  • Can teach in the morning and build a working prototype in the afternoon

  • Are genuinely curious about AI: you pay for LLM subscriptions out of your own pocket, you have a GitHub account with actual commits, and you formed strong opinions about these tools before everyone started talking about them

  • Are comfortable around developers without being one full-time. You can understand software, use a terminal, and hold your own in a technical conversation

  • Have experience with AI coding tools like Claude Code, Cursor or similar

  • Are self-directed and comfortable with ambiguity

  • Are fluent in English

You do not need to arrive fully formed. The AI Lead will invest significant time mentoring you, teaching the enablement methodology, and helping you develop technical depth. What you must bring is the curiosity and the drive to learn fast.

What you will get

  • Unmatched breadth of experience. You will not transform one company, you will work across an entire portfolio. Every workflow you improve gets multiplied. Your learning curve is exponential.

  • Direct mentorship from an AI Lead who has been driving this programme across Europe and wants to develop the next generation of AI enablers.

  • Full ownership of a cluster. No layers, no approval chains. The UK & Ireland portfolio is yours to shape.

  • A proving ground. If this model works, you have built the blueprint for how AI enablement scales across European software.

Company Information

Company Name: Everfield

Company Website: https://everfield.io

Company Address: London, Greater London, United Kingdom

Everfield is a privately held technology company that develops and delivers cloud-native software and device integration solutions for organizations that operate distributed field assets and mobile workforces. The company’s core business centers on providing a software-as-a-service (SaaS) platform designed to coordinate field operations, capture and manage real-time asset telemetry, and integrate that data with enterprise systems. Everfield’s product set typically includes a central cloud platform for orchestration and analytics, native mobile applications for field staff, APIs and middleware for integration with ERP/CRM systems, and options for connecting Internet of Things (IoT) devices and gateways for remote monitoring. As a provider of field operations and asset-monitoring technology, Everfield positions itself to solve common enterprise challenges around scheduling and dispatch, work-order management, mobile data capture, condition-based maintenance, and remote diagnostics. The central SaaS platform is described as supporting configurable workflows, role-based access controls, geolocation and mapping of assets and personnel, offline mobile functionality for areas with limited connectivity, and dashboards and reporting for operational and executive stakeholders. The platform’s analytics capabilities are oriented toward operational KPIs (for example, time-to-service, mean-time-to-repair, and first-time-fix rates) and may incorporate time-series data from sensors for trend analysis and anomaly detection. Everfield’s mobile apps are intended for technicians and supervisors in the field, providing task lists, step-by-step procedures, barcode/QR scanning, photo and document capture, and signature collection. Offline-first design is commonly emphasized so field workers can continue to log work and capture data without continuous network access; data is synchronized automatically when connectivity is restored. Mobile apps typically integrate tightly with the cloud platform to enable real-time visibility for dispatchers and managers, push notifications for urgent issues, and geofencing or location-aware routing to optimize travel time between jobs. Integration is a core part of Everfield’s technical offering. The company’s platform usually exposes RESTful APIs and webhooks to enable bidirectional synchronization with enterprise resource planning (ERP), customer relationship management (CRM), computerized maintenance management systems (CMMS), and other back-office systems. Middleware and prebuilt connectors are often provided for common enterprise applications to reduce implementation time and maintain data consistency across finance, operations, and service management systems. For organizations with physical assets, Everfield supports connection to IoT sensors, gateways, and edge devices to ingest telemetry (such as temperature, vibration, and power usage), allowing customers to implement condition-based maintenance and predictive alerting. Everfield typically offers professional services, implementation support, and training as part of its go-to-market model. Implementation engagements generally include requirements gathering, workflow configuration, data migration, integration setup, pilot deployment, and user training. For larger customers, Everfield may provide ongoing managed services and custom development to extend the platform for specialized workflows or regulatory reporting requirements. Pricing models generally follow industry norms for SaaS platforms, including subscription fees based on number of users, managed assets, or volume of telemetry data, plus professional services fees for initial onboarding and customization. Security and compliance are commonly cited as part of Everfield’s technology approach. Platform features often include encrypted data in transit and at rest, role-based access controls, audit logging, and support for single sign-on (SSO) integration with identity providers. Depending on customer needs, the company may offer hosting on major cloud providers with options for region-specific data residency and controls. Everfield’s customers are typically organizations with distributed operations and mobile workforces, such as utilities, telecommunications firms, energy and natural resources companies, logistics and transportation providers, and field service divisions within manufacturing or facilities management. The technology is used to reduce downtime, improve service-level compliance, optimize workforce utilization, and provide better documentation and traceability of field activities. Product development at Everfield tends to emphasize modularity and extensibility so customers can adopt core work-order and dispatch capabilities quickly and then add advanced modules for IoT telemetry, analytics, or regulatory workflows as their needs evolve. The platform roadmap commonly includes enhancements around richer analytics, AI-assisted diagnostics or recommendations, expanded integrations, and improving developer tooling for custom integrations and automation. Everfield’s business model and product suite align with the broader market movement toward cloud-managed operations, digital transformation of field service processes, and the convergence of operational technology (OT) with IT systems via IoT. Organizations evaluating field operations and asset-monitoring solutions typically compare the company’s offering against established field service management, CMMS, and IoT platform vendors, focusing on criteria such as ease of implementation, integration breadth, mobile usability, data security, and total cost of ownership. Note: The description above summarizes the types of products, capabilities, and customer use cases associated with technology companies operating under the Everfield name that focus on field operations, IoT integration, and cloud-based SaaS platforms. Specific product names, deployment options, pricing, and regional availability may vary by legal entity and official product documentation published by the company.
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