Top Tech Jobs & Startup Jobs in Belfast

Lead and develop a hands-on engineering team building Azure-based revenue management SaaS. Responsibilities include coding, code review, architecture, technical standards, roadmap delivery, hiring, performance management, career development, and cross-functional collaboration. The manager owns team commitments, delivery quality, continuous improvement, and engineering alignment with business goals while applying AI-augmented development practices.

Own AI cost visibility features end to end, from Go backend services and APIs processing cloud spend data to TypeScript and React interfaces. Define product direction, understand FinOps and AI economics, build scalable cloud software, and use AI throughout development. Lead design reviews, establish engineering standards, mentor peers, and ensure reliability, usability, and measurable customer impact.

Develop and evolve a secure, scalable internal platform across GCP and AWS. Responsibilities include designing Terraform infrastructure, managing GKE and EKS clusters, building CI/CD systems, developing internal tools and APIs, troubleshooting platform issues, driving automation, supporting development teams, and enforcing security and compliance practices. The role requires strong coding skills, cloud infrastructure expertise, Kubernetes, Terraform, monitoring, networking, and remote collaboration experience.

Build and maintain integrations with third-party billing and usage APIs, including authentication, synchronization, rate limits, error handling, schema changes, and self-service workflows. Develop the integrations framework, testing tools, customer-facing health and configuration interfaces, and API-first capabilities. Own features end to end across frontend, backend, databases, and cloud services while using AI tools throughout development.

Own and expand third-party billing and usage integrations for a cloud cost platform. Build and maintain ingestion pipelines, normalize vendor data, manage orchestration and backfills, and ensure financial-grade correctness through reconciliation, deduplication, and data quality checks. Use AI throughout the engineering workflow, collaborate with product and support teams, and improve integration scalability. The role requires strong SQL and Python, cloud data warehouse experience, REST API integration expertise, and production pipeline ownership.

Build and maintain product measurement frameworks, event taxonomies, dashboards, dbt models, metric layers, and data-quality systems. Analyze product usage and customer feedback to generate insights on adoption, engagement, retention, revenue, and roadmap decisions. Partner with Engineering, Product, and business stakeholders while applying AI to accelerate analytics, reporting, documentation, and decision-making.

Manage and grow relationships with EMEA customers using cloud management platforms and services. Responsibilities include resolving escalations, negotiating long-term commitments, identifying cloud workload and cost-optimization opportunities, conducting quarterly business reviews, coordinating with cloud vendors, and sharing customer feedback with engineering and product teams. The role requires account management experience in technology or cloud ecosystems, strong English and Swedish communication skills, and technical fluency.

Lead and scale the EMEA enterprise sales business for Attribute by managing 4–6 Enterprise Account Executives. Own regional revenue, pipeline generation, forecasting, GTM strategy, and target attainment. Recruit, coach, and develop a high-performing sales team; establish data-driven sales operations and CRM discipline; analyze performance metrics; improve sales processes; and support complex enterprise negotiations. The role requires credible engagement with Kubernetes, cloud-native, and DevOps buyers.

Lead a hands-on engineering team building cloud-based analytics/SaaS products. Balance coding, architecture, hiring, delivery, and career development while driving technical standards and AI-augmented workflows.

Lead delivery and iteration for Core Services by translating strategy into prioritized backlogs, working embedded with engineering to ship incremental platform capabilities (IAM, APIs, integrations), conduct frequent customer validation, measure outcomes, and ensure reliability, security, and operational readiness.