Why This Job is Featured on The SaaS Jobs
Synthesia sits in a modern SaaS category where the product is both a workflow tool and an applied AI system, which makes data a first-class feature rather than a back-office function. This role is featured because it operates at the point where product outcomes depend on the quality, structure, and governance of large-scale multimodal datasets—an increasingly common pattern in AI-native SaaS.
For a long-term SaaS career, the position offers durable leverage: building repeatable data pipelines, orchestration, and evaluation practices that directly influence model performance and, by extension, customer-facing capability. Work that spans sourcing, processing, and dataset delivery tends to translate well across SaaS companies that are investing in ML infrastructure, experimentation loops, and reliability of data assets as products mature.
The role is best suited to engineers who prefer impact through systems and data quality rather than model architecture alone, and who enjoy tight iteration with research and training teams. It also fits professionals who value clear problem framing, careful engineering, and operational ownership of pipelines—especially where the inputs are messy, high-volume media and the outputs must be dependable enough to support production-grade SaaS features.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Welcome to the video first world
From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content.
Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video.
Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now….
Meet Synthesia
We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. 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.
In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook.
What you'll do at Synthesia:
The Data team manages the complete lifecycle of data for researchers - from sourcing and large-scale processing to delivering datasets that power our models. Data sits at the heart of our Research efforts and enables all other teams. As part of the Data team, you’ll work with over a million hours of video and audio data.
This role exists at the intersection of applied research, data engineering, and ML infrastructure rather than being a traditional research position. You’ll build the world’s best human-centric data lake by collaborating closely with our model training teams. By understanding their requirements, you’ll extract new features and annotations that elevate our datasets. You should be passionate about enhancing model performance through high-quality, accurate datasets. Our infrastructure and pipelines are in great shape, and this role provides room to not only enhance them but also influence the team’s longer-term strategy.
What we're looking for:
A strong background in data-centric, applied Machine Learning, with hands-on experience improving model performance through data quality, curation, labeling, and evaluation rather than model architecture alone
Experience working on the data layer of Generative AI products, particularly involving images, video, or audio
Excellent Python skills, with a strong focus on writing clean, maintainable, and well-tested code
Hands-on experience designing, building, and operating workflow orchestration systems and large-scale data processing pipelines
Why join us?
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,
Our culture
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.
Serving 50,000+ customers (and 50% of the Fortune 500)
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.
Proprietary AI technology
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
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.
The good stuff...
Competitive compensation (salary + stock options + bonus)
Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe.
25 days of annual leave + public holidays
Great company culture with the option to join regular planning and socials at our hubs
+ other benefits depending on your location
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