You will build the AI engine that powers interactive roleplay coaching, including developing models for speech analysis, performance scoring, and real-time feedback. Additionally, you will collaborate with cross-functional teams to design and implement scalable product features.
You will build and own technical security improvements across cloud infrastructure and CI/CD pipelines while designing and iterating on detection and response capabilities. Additionally, you will investigate security alerts and develop internal tooling to automate security processes and reduce manual toil.
You will own and execute end-to-end research and engineering projects focused on developing and scaling latent video diffusion models for human-centric video generation. This involves optimizing training recipes, distributed systems, and inference pipelines to ensure high-quality, production-grade model deployment.
The Strategic Customer Success Manager will build and nurture relationships with key enterprise stakeholders to drive retention, growth, and product adoption. They will act as a trusted advisor, conducting discovery sessions and Quarterly Business Reviews to ensure customers realize maximum ROI from the Synthesia platform.
Design and operate the systems used to train, serve, and deploy generative models reliably and efficiently. Build internal tooling and agent-oriented workflows to reduce operational overhead for researchers and engineers.
Define and drive the vision for multimodal generative models that combine text, audio, and video for real-time interactive experiences. Design, implement, and ship low-latency conversational systems from pretraining through production deployment.
Lead and grow a team of senior Application Security engineers while owning the AppSec strategy and roadmap. Act as a technical partner and interface between security, engineering, and leadership to embed security into the AI-assisted development lifecycle.
Investigate and troubleshoot complex technical platform issues and provide fixes or workarounds for customers. Collaborate with Engineering and Product teams to escalate bugs and document technical procedures.
Own the end-to-end technical direction for offline video generation, bridging the gap between pre-training and post-training. Partner with research leadership to define long-term roadmaps and accelerate the delivery of research capabilities into the final product.
Drive growth by building strong relationships with French enterprise clients and educating them on AI video content creation. Coordinate onboarding, lead regular health check-ins, and ensure clients achieve ROI to drive retention and expansion.
Drive growth by building relationships with Italian enterprise clients and educating them on AI video content creation. Coordinate onboarding, lead regular health check-ins, and ensure clients achieve ROI to drive retention and expansion.
Drive technical validation and value realization for prospects and customers by designing solutions and running pilots. Bridge the gap between sales and customer success to ensure successful onboarding and long-term adoption of the AI video platform.
The Solutions Consultant will lead technical validation and value realization by conducting discovery, designing solutions, and managing the transition from deal closure to successful customer adoption. This role acts as a bridge between Sales, Product, and Customer Success to ensure long-term growth and repeatable business outcomes.
Design and maintain scalable infrastructure to support model training, evaluation, and production serving. Develop internal tools and automation to reduce operational overhead for researchers and engineers.
The role involves translating and expanding Synthesia's brand into global physical and experiential environments, including designing booths, spatial environments, signage, and merchandise from concept through production. This includes developing cohesive event identities across physical and digital touchpoints and designing for digital experiential moments like webinars and launches.
The Engineering Manager will lead complex engineering projects focused on driving user acquisition, activation, and revenue growth by breaking down initiatives into manageable stages with predictable timelines. This role involves partnering closely with product and data teams to prioritize high-impact work and maximize business outcomes.
