Top Product Manager Jobs in Dublin

Lead the estimating product roadmap for an AI-powered construction SaaS: prioritize and ship MVPs, run rapid experiments, conduct user discovery with estimators, define success metrics, and iterate using data and user feedback.

As the first product manager, you'll collaborate with the founder to enhance AI tools for scientific research through user studies, feature development, and customer feedback analysis.

Lead product definition and delivery for AI research tools by engaging data scientists and researchers, translating workflows into detailed specifications, owning the roadmap, collaborating with UX and engineering, and aligning stakeholders to prioritize and deliver MLOps-focused features.

Lead cross-functional teams to design and ship a scalable global payroll platform for 80+ markets. Deeply understand customer needs, use AI and automation to prototype and launch features, track KPIs, and manage stakeholders to deliver high-impact product outcomes.

Lead Remote Build as a Senior Product Manager: define which bespoke customer integrations and agent apps become repeatable products, own packaging/pricing and unit economics, enable fast standard connector deployments, productize managed services, and translate Build engagements into actionable platform insights while coordinating across platform, delivery, GTM, and customer success.

Own product direction for Soperator, a Slurm-on-Kubernetes control plane for GPU clusters. Drive discovery, design, delivery and adoption; lead customer research; prioritize roadmap and metrics; coordinate across compute, storage, networking, observability and IAM teams; lead open-source strategy and community adoption.

Own and drive Hardhat and EDR product roadmaps, define developer-facing APIs and UX, write PRDs, prioritize features, collaborate with engineering to evaluate technical feasibility, unblock teams, and ensure high-quality developer experiences across tooling and runtime components.

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.

Lead product vision, strategy, and roadmap; identify growth opportunities; run product and customer discovery; collaborate hands-on with engineering, design, and customer teams; evaluate usability and performance; conduct focus group testing and prioritize feature development to scale the AI-powered sales platform.