Top Tech Jobs & Startup Jobs in Dublin

Lead product strategy for Query and Machine Learning & Recall teams to improve candidate retrieval and query understanding. Define roadmap, productionize SOTA models (vector search, embeddings, LLM-assisted parsing), build evaluation frameworks linking retrieval accuracy to revenue, optimize inference latency and costs, and drive measurable lifts in conversion and revenue.

Design the demo and onboarding experiences for Constructor's e-commerce product discovery platform. Own visual strategy, map interactions for AI/LLM features, produce high-fidelity mockups and assets, and ensure designs scale within the company design system to help customers go live faster.

Lead product marketing for Constructor's ecommerce search and discovery platform: define positioning, messaging, launches, competitive intelligence, and build a PMM team. Partner with Product, Sales, Growth, and Content to translate complex features into customer value, enable GTM, and drive pipeline and adoption.

Lead a cross-functional personalization team building production ML systems for search and browse. Own model design, user representations, embeddings, segmentation, offline evaluation, experimentation, and metrics-driven iteration. Hire, mentor, partner with product/engineering, and contribute technically to architecture and implementation to drive measurable retailer KPI improvements.

Analyze and instrument offsite discovery and SEO/GEO performance for ecommerce sites. Build integrations, ETL pipelines, and models to track organic and AI-driven traffic. Create tooling and frameworks for technical site audits, landing page modelling, SEO experiments, and enablement for product and customer teams.

Analyze large-scale user and product data, design and evaluate A/B tests, define and validate product and business metrics, build dashboards and reports, and partner with engineers, data scientists, product, and customers to translate insights into product improvements.

Design, build, deploy, and maintain high-load, real-time ML-based ranking services and a Ranking Platform. Improve performance, feature delivery (feature store), CI/CD, and collaborate with DS, MLEs, and stakeholders.

Build, deliver, and maintain a customer dashboard using TypeScript and React that interacts with Python/FastAPI backend services. Collaborate with cross-functional teams, design APIs, ensure high-scale performance, analyze dashboard metrics using SQL, and contribute product ideas and stakeholder communications.

Own, design, build, and operate distributed, high-load backend services and data pipelines for ML infrastructure. Partner with ML and product teams to deliver self-service, reliable model serving, storage, and deployment components; ensure observability, scalability, and performance while driving technical decisions and continuous improvement.