Top Tech Jobs & Startup Jobs in London

Manage strategic European enterprise accounts, building trusted relationships, onboarding clients, driving product adoption, and demonstrating ROI. Partner closely with Sales to create cohesive onboarding experiences, conduct executive-level client check-ins, monitor account health, forecast risks, identify growth opportunities, and drive retention and expansion. The role also involves educating customers on Synthesia’s AI video platform and performing light video editing.

Partners with Account Executives to conduct discovery, deliver demos, scope proofs of concept, design technical solutions, address integrations and objections, and support deal strategy. Provides guidance on APIs, SDKs, security, compliance, scalability, and enterprise integrations. Builds reusable demo assets, enables technical champions, collaborates with Product Marketing and Customer Success, shares customer feedback with Product, and supports production handoffs across the DACH region.

Own presales activities across the DACH region, including discovery, solution design, technical demos, POCs, stakeholder workshops, and integration guidance. Partner with Account Executives, Product Marketing, Product, and Customer Success to support complex SaaS deals, communicate technical and business value, address security and scalability concerns, and shape reusable presales methodologies. Build customer relationships, provide competitive insight, influence product direction, and support executive-level conversations and deployments.

Own presales activities for France and Southern EMEA, including discovery, demonstrations, proof-of-concepts, pilots, technical solution design, stakeholder workshops, and objection handling. Partner with Account Executives, Product, Product Marketing, and Customer Success to support complex enterprise sales. Provide guidance on APIs, integrations, security, compliance, and scalability while shaping presales playbooks, reusable assets, and product feedback processes.

Develop and deploy interactive avatar video diffusion models for real-time, responsive AI video agents. Responsibilities include conditioning models on audio, motion, and interaction signals; improving lip sync and visual realism; building evaluation frameworks; collaborating on datasets; and translating cutting-edge research into production capabilities. The role requires strong machine learning, computer vision, diffusion model, PyTorch, and Python engineering expertise.

Conduct research on interactive avatar and video diffusion models for real-time conversational AI agents. Develop multimodal models that interpret audio and video, generate natural reactions, and support turn-taking, gaze, and facial or body responses. Adapt diffusion models, build evaluation frameworks, define dataset needs, run experiments, and translate research into production capabilities.

Lead research on interactive avatar models and real-time generative AI video agents. Set research direction, advance multimodal perception and reaction generation, post-train diffusion models, build evaluation frameworks, define datasets, and guide research-to-production efforts. Mentor researchers and influence technical decisions across research, data, and engineering teams.

As a Product Manager, you will lead the strategy for a new product that assesses user readiness through real-time scenarios, driving customer engagement and commercial outcomes.

Lead end-to-end product design for Synthesia’s AI Playground, a generative-media workspace for creating video clips, images, and motion graphics. Set design direction for prompt experiences, discovery, iteration workflows, and the transition from experimentation to polished Studio videos. Partner with Product and Engineering leaders, influence roadmap decisions, prototype interaction models, establish quality standards, and scale the product into a multi-format creation hub.

Build applied machine learning systems for interactive AI roleplay sessions. Develop models that understand learner speech, evaluate performance, generate real-time coaching feedback, and determine AI avatar responses. The role combines ML expertise with product-focused software engineering, production-scale development, rapid iteration, system design, and collaboration across engineering and product teams.