About the role
About Supermemory Supermemory started off in 2023 as a simple open-source tool to manage and search through bookmarks, and was awarded as one of the fastest growing OSS repositories in 2024. Today, Supermemory is the leading context and memory engine in the world, serving tens of thousands of customers who love using the product. Context is the next big frontier for AI agents. This includes Memory (Personalization) and RAG, and supermemory brings them all in one tool. We think pushing the frontier on AI includes improving the experiences that we have with them every single day, which boils down to how context is provided to LLMs. Every AI solution needs memory, and supermemory is growing among enterprises as the default memory provider. Supermemory has processed 4 billion+ tokens of context in the first few months of operations, and has been featured on Techcrunch and many other media channels, with leading companies using supermemory as their context solution. We are an extremely small and lean team of young engineers, researchers and designers from all around the world, now working in-person in the heart of San Francisco, California, trying to contribute to AGI with memory. We are open to remote roles!
Why Join Supermemory? If you are looking for: Early stage, growing team with freedom to experiment and embrace failure The opportunity to work on a foundational problem that will shape AI's future A team of hardworking, cracked, young people who will support and challenge you The opportunity to work on difficult engineering challenges every single day and night Supermemory is the place for you. Open Roles Founding Backend / Infrastructure Engineers Building scalable and reliable systems that thousands of developers and millions of users depend on. If you have previously been in a fast growing and scaling team, please mention below. Founding Research Engineers Researching, implementing, experimenting and proving multiple hypotheses, with a general sense of systems design, scalability and databases. If you have previously published a paper, please mention below.
