Top Tech Jobs & Startup Jobs in Dublin

Develop and scale production-grade video foundation models for human-centric video generation. Lead applied research and engineering projects involving diffusion modeling, conditioning, distributed multi-node training, evaluation, ablation studies, inference optimization, reproducibility, monitoring, and production deployment. Collaborate across teams to deliver stable, controllable, high-quality, cost-efficient video generation systems.

Lead technical validation and solution design for prospects and customers: run discovery, design pilots/demos, drive first-value adoption, enable expansion, and build repeatable playbooks across Sales, Customer Success, and Product.

Manage a book of Italian enterprise accounts, onboard and educate clients on Synthesia, drive retention and growth, run regular health check-ins, identify risks and expansion opportunities, and engage with stakeholders up to the C-suite while performing light video editing on the Synthesia platform.

Develop and productionize avatar-centric video diffusion models: incorporate multimodal conditioning, enable real-time long video streaming, improve lip-sync and motion realism, build evaluation frameworks, collaborate with data teams, and translate research into product features.

Own the content lifecycle and governance for enterprise video deployments. Engage with customers to translate their needs into product direction and strategies. Ensure compliance and effective workflow between content creators and IT admins while driving towards commercial success through clear metrics and continuous product improvements.

Lead and grow a senior Application Security engineering team; define AppSec strategy and roadmap; engage deeply on threat modelling, security architecture, agentic/AI-native tooling, SAST/SCA, vulnerability management and automation; embed security into the SDLC, coordinate with leadership and partner teams, and represent AppSec externally for compliance and customer interactions.

Own growth for a core product area end-to-end (acquisition, activation, adoption, retention). Partner with product, engineering, marketing and GTM to design growth into the product, build acquisition loops, define measurable outcomes, and rally cross-functional teams to hit funnel and activation metrics.

Lead end-to-end technical direction for offline video generation: bridge pre- and post-training, resolve cross-cutting technical gaps, define long-term roadmap with research leadership, accelerate research-to-product handoffs, coach engineers, and drive execution on large-scale generative video models.

Build and operate large-scale data pipelines and orchestration for generative AI research, focusing on video/audio datasets, feature extraction, labeling, and dataset quality to improve model performance.

Design, build, and operate ML platform systems to train, evaluate, deploy, and serve generative models. Improve reliability, scalability, observability, and cost-efficiency of GPU and cloud workloads. Build internal tools and agent-friendly workflows, collaborate with researchers and engineers, and drive platform architecture and automation.