About the job
At Synthesia, we are redefining the future of communication through our leading AI video platform, embraced by over 90% of Fortune 100 companies. Established in 2017 and headquartered in London, our presence spans across Europe and the United States, with a diverse team dedicated to innovation.
As the AI landscape evolves, we are committed to enhancing visual communication and fostering enterprise skill development, ensuring that individuals are empowered to excel and remain integral to the success of their organizations.
After a successful Series E funding round that secured $200 million, our valuation has reached $4 billion, with total funding exceeding $530 million from esteemed investors like Accel, NVentures (Nvidia's venture capital), Kleiner Perkins, GV, and Evantic Capital, as well as founders and executives from Stripe, Datadog, Miro, and Webflow.
About the Role
You will take on an end-to-end role, contributing to our client application built in React and our robust monolithic backend developed in Python, while ensuring secure feature releases to our customer base.
You will own long-term projects that require breaking down complex challenges into manageable, iterative steps for delivery and validation.
Collaboration with the product manager will be key, allowing you to ideate solutions focused on commercial problems and shape product direction.
Your work will be evaluated through established data pipelines and frameworks to assess the impact of your features on our business objectives, enabling you to pivot as needed.
You will also be tasked with considering the team's long-term direction, ensuring we build the engineering capabilities necessary to tackle future challenges over the next 6-12 months.
What We're Looking For:
A minimum of seven (7) years of experience in software engineering, with at least 3 years in a senior or lead role.
Experience in a high-performing engineering team, whether in a scale-up environment or an established organization recognized for its outstanding engineering culture.
Strong capability across the tech stack, with in-depth knowledge of server-side development and backend technologies. Backend-focused experience is acceptable if you're willing to assist on the frontend occasionally.
Proficiency in relevant engineering practices and tools that enhance productivity and performance.

