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Top Tech Jobs & Startup Jobs in London
Information Technology • Software
Lead end-to-end EAM implementations, including requirements analysis, customer workshops, platform configuration, workflows, integrations, reporting, training, adoption support, and go-live delivery. Manage multiple projects while controlling scope, quality, and timelines, and collaborate with consulting, product, and support teams. The role requires strong knowledge of asset management, maintenance, and reliability processes, along with customer-facing consulting and technical configuration skills.
Top Skills:
Computerized Maintenance Management Systems (Cmms)Enterprise Asset Management (Eam)Hxgn EamIbm MaximoIfsSap PmUltimo
Information Technology • Software
Leads organization-wide performance engineering strategy across frontend, APIs, backend systems, databases, infrastructure, cloud costs, observability, and agentic AI. Establishes performance standards, SLOs, measurement frameworks, and optimization roadmaps; drives scalability, latency, throughput, and cost improvements. Builds and manages a performance engineering team, embeds performance practices into architecture and product development, and communicates measurable results to executives.
Top Skills:
Ai/MlApmCdnsCloud InfrastructureContainer OrchestrationDatabasesLlmsLoad Testing ToolsMessage QueuesObservability PlatformsProfilers
Information Technology • Software
Leads company-wide cloud infrastructure strategy, architecture, operations, reliability, security, observability, disaster recovery, and cost optimization. Drives Infrastructure-as-Code, cloud-native transformation, automation, self-service capabilities, and AI infrastructure strategy. Builds and manages an infrastructure team while partnering with engineering, security, product, and performance teams to improve deployment velocity, system reliability, compliance, and cloud efficiency.
Top Skills:
AnsibleAWSAzureCloudFormationGCPKubernetesTerraform
Information Technology • Software
Leads global go-to-market strategy and commercial performance for IFS’s AI Optimization portfolio, including PSO, MSO, and WISE. Owns portfolio positioning, proposition development, sales plays, pipeline growth, strategic deal support, demand generation, partner strategy, and revenue enablement. Collaborates across Product, Sales, Marketing, Customer Success, Partners, and executive leadership to improve adoption, win rates, forecast accuracy, and commercial outcomes.
Top Skills:
Agentic AiArtificial IntelligenceDigital TwinErpIfs CloudIfs.AiLarge Language ModelsMachine LearningNexus BlackPredictive AnalyticsSaaS
Information Technology • Software
The Content Operations Manager oversees content governance, calendars, workflows, standards, and AI-assisted production processes. The role audits content, coordinates lead magnets and multimedia assets, embeds SEO, AEO, and GEO practices, enables sales teams, and manages publishing cadence. It defines content KPIs, analyzes performance using AI and marketing technologies, reports recommendations to leadership, and partners with product, campaign, customer, field, and digital marketing teams globally.
Top Skills:
AeoAi ToolsAnalytics PlatformsCmsCRMGeoHubspotMarketing AutomationSalesforceSeo
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Information Technology • Software
Own the React and TypeScript web client for an enterprise AI agent product. Build streaming, trustworthy interfaces for generated content and actions, with explicit user consent and transparent agent behavior. Lead front-end architecture, component systems, accessibility, performance, security, testing, observability, and production delivery. Collaborate across service boundaries and help shape emerging protocols including MCP Apps, AG-UI, and A2UI, while advancing Lit and Web Components adoption.
Top Skills:
A2UiAg-UiContent Security PolicyCustom ElementsDockerGoHelmIframe SandboxingKubernetesLitMcpMcp AppsPostmessageProgressive Web ApplicationsPythonReactShadow DomSingle-Page ApplicationsTypescriptWeb Components
Information Technology • Software
Own the end-to-end product lifecycle for AI-enabled manufacturing solutions, including product vision, strategy, discovery, prototyping, roadmap prioritization, launch, adoption, and scale. Partner with customers, engineering, design, sales, marketing, and customer success to deliver measurable operational and commercial value. Identify opportunities to apply AI and automation to manufacturing workflows, support pricing and packaging, and contribute to product growth and P&L outcomes.
Top Skills:
Ai/MlAutomationEnterprise SoftwareSaaS
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Information Technology • Software
Lead the design and development of scalable full-stack software for an industrial emissions intelligence platform. Responsibilities include building React interfaces and Go services, modernizing legacy systems, implementing AI-enabled features, guiding architecture, and improving reliability, security, observability, testing, and performance. The role also owns application-level DevOps, incident response, technical decision-making, cross-functional collaboration, mentoring, and production readiness across cloud-based products.
Top Skills:
AWSAzureCi/CdCloud-Native ApplicationsDistributed SystemsEvent-Driven ArchitectureGCPGoMicroservicesObservabilityReactSlos
Information Technology • Software
Leads the design and implementation of scalable full-stack software for an industrial sustainability reporting platform. Builds APIs, cloud-native services, accessibility-focused interfaces, and AI-enabled sustainability features. Owns reliability, observability, DevOps, testing, security, and production readiness while guiding architecture and technical decisions. Collaborates with Product, Design, AI, Platform, and Engineering teams; mentors engineers and improves engineering practices, performance, maintainability, and customer outcomes.
Top Skills:
APIsAWSAzureCi/CdDevOpsDistributed SystemsEvent-Driven ArchitectureGCPGoMicroservicesPostgresReact
Information Technology • Software
Leads the transformation of release management across Product and Technology by modernizing governance, embedding automated risk-based controls, and enabling safe, data-driven deployments. Oversees release strategies, environment governance, customer onboarding readiness, release intelligence, observability, progressive delivery, and AI-native release practices. Builds and develops the release management function, drives change across engineering stakeholders, and secures investment for tooling, automation, telemetry, and platform improvements.
Top Skills:
Artificial IntelligenceCi/CdCloud ComputingDeployment AutomationDevOpsFeature FlagsObservabilityPolicy-As-CodeSreTelemetry
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