About the role
About RunAnywhere
RunAnywhere is a Y Combinator W26 company building the infrastructure for on-device AI. Our open-source SDK (~10k+ GitHub stars, Apache-2.0) lets developers run LLMs, vision, and speech models directly on phones: iOS, Android, Flutter, React Native, and Web, with one API. QHexRT, our inference engine for the Qualcomm Hexagon NPU, is the first runtime to run the full stack (LLM, vision, speech recognition, and text-to-speech) on the NPU. No cloud, no latency, no per-token bills.
Developers are our entire go-to-market. We grow by being genuinely useful in public: reproducible benchmarks, honest technical writing, and demos that make people say “wait, that runs on a phone?”
Founders
You’ll work directly with our founders. Sanchit Monga (CEO) previously built mobile SDKs at Intuit used across 50M+ devices. Shubham Malhotra (CTO) built MetalRT, the fastest LLM inference engine on Apple Silicon, and previously worked on EC2 Spot at Amazon and Azure at Microsoft. We started RunAnywhere because shipping on-device AI was painful and no existing tool solved it end to end.
The role
You’ll be the voice of RunAnywhere in the developer community. Your job is to make developers discover, understand, and get excited about running AI on-device through writing, demos, and daily presence where developers hang out.
What you’ll do
- Write technical blogs and tutorials: integration guides, benchmark write-ups, “how on-device inference works” explainers, and deep-ish dives on things like quantization, NPU vs GPU vs CPU tradeoffs, and time-to-first-token.
- Build demos and multimedia content: short demo videos, screen recordings of models running on real phones, sample apps, and visual content for launches.
- Engage the community everywhere: X/Twitter, LinkedIn, Reddit (r/LocalLLaMA and friends), Hacker News, Discord, and GitHub. Answer questions, join conversations about local/on-device AI, and rep the project without being spammy.
