About Eventual
Eventual builds Daft, an open-source, Python-native distributed query engine purpose-built for processing multimodal data — images, video, audio, and text — at petabyte scale. The platform makes querying any kind of data as intuitive as SQL, and is used by AI companies such as Amazon, Together AI, and Mobileye for workloads ranging from foundation model training to autonomous vehicle systems.
Company details
Funding
Total raised
$30M
Last stage
Series A
Investors
Founders
Jay Chia
Background in ML Infrastructure across biotech (Freenome) and autonomous driving (Lyft L5). Graduated from Cornell University with research in deep learning and computational biology.
LinkedIn
Sammy Sidhu
Background in High Performance Computing and Deep Learning. Previously worked on self-driving cars at DeepScale (acquired by Tesla) and Lyft Level 5 (acquired by Toyota). UC Berkeley graduate in Electrical Engineering and Computer Science.
LinkedInWhat happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.