Jobs at Synthesia

Lead design, implementation and operation of enterprise backend and platform services. Own distributed, multi-tenant systems in production, ensuring security, compliance, observability and reliability. Translate business and regulatory requirements into scalable technical solutions, drive cross-team initiatives, improve incident response and mentoring of engineers to support long-term platform scale and enterprise needs.

Build and own the speech and voice generation platform: backend orchestration for multiple TTS providers, voice discovery and recommendation systems, and frontend preview experiences. Scope and ship 0-to-1 features, iterate via experiments and feature flags, ensure reliability and quality across providers, and collaborate with product, design, and AI teams to measure and improve outcomes.

Lead and evolve Synthesia's experiential brand presence globally: design booths, spatial environments, signage, print and merchandise; create cohesive physical-to-digital event identities; storyboard and craft motion/screen content; manage production and supplier-ready files; direct vendors and on-site execution; collaborate with Field Marketing and cross-functional teams to deliver scalable, production-ready experiences.

Develop and deploy post-training techniques for generative video and avatar models. Apply DPO, adapt conditioning, build dubbing and lip-sync solutions, and optimize diffusion models via quantization, pruning and distillation to improve efficiency and rendering quality.

Senior/Staff Product Designer on Growth focused on onboarding, first-time editor experiences, activation and retention. Rethink complex AI-native user journeys, translate ambiguous problems into prototypes and experiments, partner with PMs and engineers to move metrics, and mentor designers while elevating AI-generated prototypes into scalable experiences.

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.

Design and implement end-to-end full‑stack features for Avatars and generative media, integrating frontend, backend, and AI models. Own experiments from prototype to production, collaborate with product and design, ship behind feature flags, and iterate based on usage and model reliability.

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.

Drive technical validation and value realization across prospects and customers. Lead discovery, design solutions, run pilots/demos, ensure first live workflows and early adoption, enable expansion, build repeatable playbooks, and partner cross-functionally with Sales, Customer Success, Product, and Marketing to translate customer needs into measurable business outcomes.

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.

Join Synthesia's Cloud Infra team to maintain and scale EKS Kubernetes clusters, manage AWS/GCP infrastructure, own GitHub Actions CI/CD on self-hosted runners, implement Terraform/Terragrunt IaC, enhance observability with Datadog, drive FinOps, and build internal tooling to improve developer experience.

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.

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.

Design, build and scale an automated translation-quality evaluation framework for localisation and dubbing. Implement production ML evaluation infrastructure, roll it out across teams, align metrics with product signals, and maintain/iterate systems in collaboration with R&D and cross-functional partners.

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.

Manage Spanish enterprise accounts, drive retention and expansion, onboard clients, build trusted advisor relationships, coordinate cross-functional success plans, conduct executive-level conversations, and perform light video editing using the Synthesia platform.

Lead multiple engineering teams to deliver growth-focused, user-facing projects. Prioritize experiments, scalability, and measurable business outcomes. Hire, develop, and align engineers to product and revenue goals while fostering a high-velocity, collaborative culture and clear cross-functional communication.

Design and operate backend systems for Synthesia's dubbing pipeline: orchestrate long-running multi-stage jobs, integrate ML components, manage audio/video processing and state, build robustness and observability, and create evaluation frameworks to measure and improve output quality.

Build, deploy, and maintain predictive and classification models to improve revenue and customer experience. Partner with Sales/RevOps/CS/Marketing to translate business questions into datasets, validate and monitor models, deploy with Data Engineering, and produce usable outputs and documentation for commercial teams.

Lead delivery of complex engineering projects in avatar rendering, generative media, and AI integrations. Break down research-heavy initiatives into execution plans, balance trade-offs (latency, cost, scalability), mentor and scale engineering talent, drive system reliability and performance, and collaborate with R&D and recruiting to ship enterprise-grade generative video capabilities.