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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Chief Technology Officer for Fleet Management SaaS - **Company:** Mapon Sweden AB - **Location:** London, UK - **Experience:** Expert - **Salary:** £150,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Software as a Service, Distributed Systems, Technical Debt, Complex Event Processing, Data Management, Hardware Infrastructure - **Published:** September 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=92387bf0b0c64788 ## About the Role * Led a multi-team engineering organization in commercial B2B SaaS through growth, modernization or organizational change. * Built and coached managers and senior technical leaders rather than keeping all important decisions yourself. * Strong architectural judgment across data-intensive systems, APIs, integrations and reliable production services. * Been accountable for production systems, including availability, observability, incident response, security and technical risk. * Made technology portfolio decisions with commercial judgment, including when to invest, simplify, buy, migrate or stop. * Worked as a real partner to Product, sharing accountability for customer and business outcomes. * Communicated effectively with executives, boards, enterprise customers and senior engineers. * Enough technical depth to challenge a design, interrogate an incident and earn engineers' credibility without becoming the principal individual contributor. * Fluent English, as the role works across multiple European countries. Strong advantages include experience with: * IoT, M2M, telematics, hardware-connected software or distributed systems interacting with physical assets. * High-volume telemetry, event processing, analytics or data platforms. * Transport, logistics, fleet management or regulated software. * Private-cloud, on-premises or hybrid infrastructure. * Technical due diligence and post-acquisition integration. * Introducing AI-assisted engineering at organizational scale or building commercial AI/data products. Fleet-management experience is useful but not required. We prefer an exceptional technology leader who learns quickly to a domain expert unable to lead transformation. How you operate * You create clarity and make decisions without waiting for perfect information. * You combine urgency with judgment. Speed and quality are a managed trade-off. * You tell the truth early, especially when the news is uncomfortable. * You delegate outcomes and develop people while staying close enough to know what is happening. * You are commercially curious and want to understand the customer, the economics and why the work matters. * You have low ego, high standards and high ownership. * You challenge constructively and change your mind when the evidence changes. This role will not suit a chief architect in disguise, someone who adds process before understanding the problem or treats AI as innovation theatre. ## Description * Private-cloud and on-premises infrastructure that must remain secure, observable, resilient and cost-effective while its future is evaluated pragmatically. * Acquired products, systems and teams that need a clear integration or convergence path, and AI that can transform development and customer value. You do not need every answer. You do need to make important trade-offs clear, decide with incomplete information and turn decisions into shipped outcomes. What you will own Technology strategy and investment * Translate company strategy into a clear, written technology strategy and investment priorities. * Keep the roadmap dynamic and connected to customer value, revenue, risk and cost rather than treating it as a fixed multi-year plan. * Make principled build, buy, partner, retire and migrate decisions while balancing delivery, platform work, reliability, security and technical debt. * Shape technology OKRs and budgets with the executive team. Engineering organization and leadership * Lead Mapon's multi-team engineering organization through its leaders, not around them. * Clarify ownership, decision rights and accountability across products, platforms and shared systems. * Develop engineering leaders who make sound decisions without waiting for the CTO. * Raise the bar for hiring, performance and succession while reducing key-person risk. Architecture, platform and delivery * Own the long-term technical direction across Mapon's products and shared platform. * Guide modernization of a mature codebase without destabilizing the service or pausing customer delivery. * Improve architectural consistency, delivery speed and predictability without adding ceremony that slows teams down. * Ensure teams design for maintainability, scalability, reliability, security, performance and cost. Reliability, security and operations * Make observability, service ownership and operational excellence part of everyday engineering. * Establish meaningful service levels and improve incident response and learning, with security and risk management built into engineering. * Own evidence-based decisions about infrastructure and operational architecture. AI and data * Make AI-assisted development a normal part of engineering where it improves speed, quality or learning. * Measure AI through cycle time, quality and customer impact, and build the foundations to use Mapon's data responsibly. * Work with Product to validate AI-enabled customer opportunities with a credible path to commercial value. M&A and executive leadership * Lead technology due diligence and post-acquisition technical integration planning. * Decide when acquired products should remain independent, integrate with Mapon or converge over time. * Represent technology to executives, the board, strategic customers and partners with clarity about options, economics and risk. * Be a direct, constructive partner to the CEO and executive team. What success looks like after 12 months * Mapon has a technology strategy understood across the company, tied to business priorities and reflected in team decisions. * Critical product and platform areas have clear owners; senior leaders operate independently and key-person dependencies are reduced. * Delivery, quality and reliability show measurable improvement, while priority modernization produces shipped results and enables greater team autonomy. * AI-assisted engineering is standard practice where it works, with measurable gains and quality safeguards. * Mapon has a repeatable acquisition-integration playbook, and technology investment is discussed through customer value, growth, cost and risk.