About Us
Poly is building a better file storage platform for everyone. We're backed by YC, Bloomberg Beta, Felicis, Figma Ventures, AI Grant, and more, and we're looking to grow our founding team of superstar builders and dreamers.
Our file storage platform will "replace Finder and File Explorer" as the de-facto user experience for managing your personal files (we will host them as well). We know, it's an insanely ambitious goal, but we think it's not only possible but necessary to finally do away with these legacy file systems.
Concretely, here's three reasons why people need Poly:
- Find anything using natural language and multi-modal queries ("images in the style of X from last week"), so that you never lose track of your stuff again.
- Auto-upload/sync content from your GenAI apps via auth or browser plugin, complete with metadata.
- Create projects and workspaces where you can pin files, save folders that dynamically update, and mention notes/links for reference. Spend less time managing files and more time getting stuff done.
About You
We are looking for a founding infra/cloud architect that can build and support the file storage solution of the future. You will need to wear many hats, but the only hat you'll never remove is your attention to detail and dedication towards excellence. ou must have significant experience (or significant enthusiasm) in building a cloud backend or distributed file system from scratch. Specifically, we would pay attention towards your expertise in the following:
- Core design considerations for massively distributed scalable systems. You would be able to describe things like CAP trade-offs, different forms of caching and instant retrieval strategies, CRDTs and other schematically constrained replication, and of course file storage (either virtual, physical, or blob)
- Cloud-specific tools for deploying, hosting, scheduling, scaling, and versioning software of all kinds, e.g. serverless functions, containers, or portable binary formats like wasm.
- Indexing content, either through embeddings, metadata, or other kinds of information.
- AI Ops, including model hosting, training pipelines, online learning, versioning, inference
- Scalable database (i.e. NoSQL, let's be honest) schema modeling, in-place/live schema versioning, and query optimization.
Send a friend request on LinkedIn with a short blurb (in the connection request) to me, and I will be 1000+% more likely to see and respond to your interest. My bio is here: http://linkedin.com/in/abhaykagarwal/
Poly
