We're building intelligent security that works for human beings as they are, not how security policies would like them to be. Using machine learning technology, Tessian automatically predicts & eliminates advanced threats on email caused by human error - like data exfiltration, accidental data loss, business email compromise & phishing attacks - with minimal disruption to employees' workflow. As a result, employees are empowered to do their best work, without security getting in their way.
Tessian has raised a $74m Series C led by renowned security investors, March Capital
(Crowdstrike, Knowbe4), with follow-on from Sequoia, Accel, Balderton, Latitude, Okta, Sozo, Citi & Schroder Adveq, to further our mission to secure the human layer.
Founded in 2013, Tessian is backed by world-class venture capital investors, has hubs in London, San Francisco, Boston, & Austin, & London, & is one of the Top-3 2021 Best Places to Work for Women
Data Engineering at Tessian
As a high-growth scale-up, our email datasets are growing at an exponential rate. This is a great as it allows us to train best-in-class machine learning models to prevent previously unpreventable data breaches, however we're at the scale where our current data pipelines aren't where we want them to be: this is why we're looking to bring another Data Engineer into the Tessian family.
You will sit in our Data Engineering team & work day-to-day with our Data Scientists to build out infrastructure & pipelines, empowering teams to iterate quickly on terabytes of data. You'll be hugely impactful in this high-leverage role & we strongly believe that if we can query all of our data, in near real-time, & using scalable systems, then we can deliver limitless value to our clients through the data breaches we prevent.