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.
Lead the delivery of complex engineering projects focused on driving user acquisition, activation, and revenue growth. Break down initiatives into manageable stages with predictable timelines, making clear trade-offs between speed, experimentation, and long-term scalability. Partner closely with product and data to prioritize high-impact work and maximize business outcomes.
Understand engineering leveling and scale the team by identifying and filling skill gaps, particularly in areas like experimentation, performance, and conversion optimization. Collaborate with recruiting to attract and retain top talent aligned with Growth’s fast-paced, outcome-driven environment.
Monitor team performance proactively, ensuring strong execution and continuous improvement. Support engineers in delivering measurable impact and developing their careers through ownership of key growth metrics.
Navigate difficult conversations with clarity and empathy, especially when balancing business urgency with technical quality. Foster a collaborative, high-velocity team culture aligned with company goals.
The Growth team is dedicated to driving high NDR and sustainable revenue growth through self-service and freemium offerings, improving user experience, and optimizing conversion pathways while aligning with enterprise goals.
This team operates at the intersection of product, engineering, and data, shipping experiments rapidly and iterating based on measurable outcomes. You’ll work on core surfaces that directly impact user journeys and business performance.
Proven experience leading engineering teams delivering high-impact, user-facing projects, ideally 2+ years
Strong ability to operate in fast-paced, experiment-driven environments with clear business metrics
Experience scaling teams and aligning them to product and revenue goals
Proven ability to track performance and help team members improve output and impact
Excellent communication skills, especially in cross-functional environments (product, data, design)
Relevant engineering background building scalable SaaS products
Experience with growth, experimentation, or conversion optimization is a strong plus
We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why,
At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.
We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2.
Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.
AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety & Security.
30-40min call with a Technical Recruiter
45min call with an Engineering Manager
Take-home assignment (no coding required) - writing an RFC, solution proposal
60min task debrief and technical discussion
45min call with leadership
The process does not need to take long - we can be done in seven working days.
synthesia