Top Tech Jobs & Startup Jobs in Belfast

Create experiential graphic design for global events, trade show booths, environmental graphics, pop-ups, and summits. Translate creative direction into spatial designs that work across materials, architecture, lighting, and physical environments. Develop brand design languages, contribute to ideation, present concepts, prepare production-ready artwork, and coordinate junior designers or external partners. The role also supports broader brand graphic design initiatives and requires independent project ownership across international teams.

Build and maintain frontend-leaning, full-stack Creative and Studio products using React and Next.js. Develop AI interfaces, UX/UI workflows, proof-of-concept products, integrations, and end-to-end features. Collaborate with Design, Engineering, Growth, and Sales; iterate based on user feedback; maintain scalable, secure infrastructure; process large datasets; and mentor less experienced engineers. The role emphasizes strong portfolio work and demonstrated software engineering ability rather than formal degrees or certifications.

Build and maintain full-stack Creative Studio products across frontend, backend, APIs, infrastructure, and generative AI workflows. Develop new products and proof-of-concepts, improve existing platform functionality, support enterprise integrations, strengthen reliability and scalability, and process large-scale datasets for generative AI models. Collaborate with Engineering, Growth, Sales, research teams, and customers to solve complex product and workflow challenges.

Own and evolve ElevenLabs’ global compensation and total rewards strategy across 46+ countries. Responsibilities include compensation philosophy, job architecture, leveling, pay bands, equity and incentive programs, compensation cycles, governance, calibration tooling, and globally scalable benefits. Partner with Operations, Legal, and Finance while advising senior leaders on complex compensation decisions and introducing AI-enabled workflows.

Own enterprise customer success across Central and Eastern Europe, driving onboarding, platform adoption, technical enablement, renewals, upsells, and multi-product expansion. Analyze usage and performance signals to remove adoption barriers and demonstrate measurable value. Partner with Sales, Engineering, and leadership to generate durable revenue growth. Build the region’s first dedicated Customer Success function while supporting complex AI, developer tools, and B2B SaaS deployments.

The Operations Recruiter will oversee the full recruiting lifecycle for key Operations functions, partner with business leaders, and enhance candidate experiences to attract top talent.

Build large-scale data pipelines and infrastructure for frontier AI model training. Develop data-processing models such as classifiers, quality filters, and labeling systems; design deduplication, quality scoring, labeling, and augmentation strategies; and create reliable tooling for researchers to explore and train on massive datasets. The role also evaluates how data quality and composition affect model outcomes, with web crawler experience as a bonus.

Build and operate large-scale distributed web crawlers that discover, fetch, extract, deduplicate, and recrawl billions of pages. Develop targeted pipelines for audio, video, and multilingual data, transforming web content into training-ready datasets. Create infrastructure and tooling for researchers to request, monitor, evaluate, and explore crawled data, while ensuring reliability, efficiency, compliance, politeness, and rate-limit handling.

Own relationships with 40–50 enterprise EMEA clients, leading onboarding, product adoption, usage monitoring, renewals, and account expansion. Help build scalable customer success playbooks, manage NRR and GRR KPIs, and contribute to team OKRs. The role requires demonstrating value for technical SaaS products, navigating complex stakeholder environments, solving customer challenges, and driving commercial outcomes.

Deploy and optimize frontier AI models for real-time production use at scale. Responsibilities include improving inference latency, throughput, and cost through quantization, distillation, KV-cache optimization, batching, and custom kernels; building high-performance streaming serving systems; and creating tooling that enables safe, efficient model deployment.