serverless {vector, full-text} search from first principles on object storage. faster, 10x cheaper, extremely scalable
turbopuffer is a fast search engine that combines vector and full-text search using object storage, making all your data easily searchable. Using only object storage for state and NVMe SSD with memory cache for compute, turbopuffer scales horizontally to handle billions of documents. The system caches only actively searched data while keeping the rest in low-cost object storage, offering competitive pricing. Cold queries process 1 million vectors in 500ms (p90), while warm queries take just 20ms (p50). This architecture means it's as fast as in-memory search engines when cached, but far cheaper to run. Storing data in cache and object storage costs less than traditional replicated disk systems, even for frequently accessed data.
Remote · Canada, United States
Design and implement improvements across the search engine's storage, indexing, and querying layers. Collaborate with customers to address their specific workloads and integrate these insights back into the product.
Remote · Canada, United States
You will build and maintain multi-tenant cloud infrastructure and internal tooling to support high-scale database operations. Additionally, you will focus on improving database performance, security, and automating infrastructure management.
Remote · Canada, United States
You will manage inbound deals and work closely with solutions engineers to solve customer problems within Slack channels. Your role involves driving deals forward, managing POCs, and effectively explaining complex technical ideas to customers.
Remote · Canada, United States
The Controller will own month-end close, financial reporting, and lead the migration of the ERP system to an AI-native platform. They will also oversee global payroll, billing operations, and collaborate on financial planning and forecasting.
