Senior Lifecycle Manager

Job description

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. The Role Synthesia is growing fast, and lifecycle is how we turn that growth into lasting customer relationships, guiding every user from first signup to real value. Every month we send 150+ emails to 1+ million contacts, and as we launch new products and enter new markets, that scale and its impact on revenue will keep rising. As Senior Lifecycle Manager, you’ll build one of the most exciting lifecycle programmes in Europe. You’ll own the product-led growth motion after signup: the journeys that turn new users into activated, paying and expanding customers. You’ll build automations triggered by what users do in the product and set the standard for how every customer-facing email Synthesia sends works together as one experience. You’ll partner with Product, Product Marketing and Data teams to build a lifecycle engine that grows with the company. What You'll Do Customer journeys: Design, build and optimise lifecycle journeys that support customers throughout their experience with Synthesia, from activation, adoption and engagement through to expansion, retention and winback. Lifecycle automation: Own the end-to-end implementation of lifecycle programmes, from audience segmentation and behavioural triggers to workflow logic, suppression rules, QA and performance monitoring. Experimentation: Develop and execute structured experiments to continuously improve lifecycle performance. Test messaging, timing, segmentation and journey design, analyse results and turn learnings into actionable improvements. Data-driven personalisation: Leverage product usage, customer attributes and engagement signals to deliver i…