Mission
In the late 90’s, humanity started contributing to a central store of all human knowledge — the internet. The internet back then was made up mostly of text, and to that end search engines like Google indexed it all — literally putting all human knowledge at people’s fingertips.
20+ years later, we’re at a crossroads where richer data types are being used to store human knowledge. 80% of the internets IP traffic today is video. Apps like TikTok have exploded, smart cameras exist almost everywhere from homes, to farms, construction sites, offices, retail stores, and warehouses, and we’ve been ushered into a new age of collaborative, creative tools with experiences such as Figma.
Unlike twenty years ago, human knowledge exists in more places and forms than ever. And every developer and company trying to build a new magical experience is left setting up AI / ML infrastructure, wondering why they have to manage datasets, and figuring out how to process, structure, search, and deliver resulting data to an end application.
Sieve’s mission is to build the core infrastructure needed to process, understand, and search rich data — so developers can ship magical experiences faster. And video is just the start.
Who We Are
Sieve is a seed-stage startup backed by some of the best software investors including Y Combinator, Matrix Partners, and Swift Ventures. We’re a small team interested in building great developer tools that people will use to build the next generation of AI-powered applications. We started out in Berkeley and are now based fully in SF.
Technical Stack
- Go
- Rust
- Kafka/RedPanda
- GCP
- Redis
- MongoDB
You’re a good fit if…
- You want to work fully in-person in downtown San Francisco
- You really enjoy solving distributed systems problems, optimizing for reliability, speed, and cost
- You have significant experience in building any sort of large scale distributing systems platform.
- Have really great attention to detail and excellent debugging skills
Sieve
