Top Tech Jobs & Startup Jobs in Dublin

Lead full-lifecycle partner development: source, qualify, negotiate, align technically and commercially, launch integrations, run outreach, maintain prioritized partner pipeline, track competitors, and hand off live partnerships to affiliate managers.

The Senior Product Analyst will automate data collection, analyze product metrics, conduct A/B tests, and support product hypothesis generation.

Design and develop internal services and deployment automation tools in Go; build and maintain GitLab CI/CD pipelines; manage Kubernetes production and pre-production environments; evolve internal deployment platform (Packman); implement IaC with Terraform and Ansible; optimize ephemeral/stage environments; improve observability with Grafana/OpenSearch/Prometheus; collaborate with engineering teams to enhance developer experience and delivery speed.

Monitor and analyze product and advertising KPIs, integrate data from multiple sources, build and optimize weekly/monthly marketing reports, run A/B test analyses, create campaign summary reports, and provide actionable recommendations to improve campaign performance.

Lead and optimize engineering delivery for a mature social product: audit and improve SDLC, accelerate time-to-market, align engineering to business backlog, scale delivery frameworks (Agile/Scrum), manage cross-functional execution, and present technical strategy and risks to executives.

The Senior Pricing and Paywalls Product Analyst will automate analytical data collection, analyze product metrics, organize A/B tests, and support the generation of product hypotheses to identify growth opportunities.

Lead training and fine-tuning of generative computer-vision models (text2image, image2image, video2image) including IP-adapters; develop image/video classifiers, rankers, and captioning models; track CV research and define roadmap; build iterative model improvement and quality validation systems; optimize inference performance (diffusion optimization, quantization, kernel/framework-level); optionally train multimodal CV+NLP companions.

The Senior CRM Manager will generate hypotheses, create business specifications, launch experiments, analyze results, and improve CRM processes to enhance customer retention and loyalty.

Train and fine-tune large language models, build and maintain the full LLM stack and agentic pipelines, improve chat/agent algorithms, translate NLP research into roadmap, and collaborate with validation, content, and dataset teams to design experiments and measure model quality.

Lead HR business-partnering for a globally distributed product team: ensure staffing, onboarding, performance management, engagement, retention, HR process implementation, payroll budget oversight, C&B and analytics, and satisfaction measurement for managers and employees.