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22 days ago
Requirements and responsibilities
ABOUT KLEDKled is building the largest opt-in human data network in the world. It is not a labeling firm or a task marketplace; it is a consumer application where people upload their real photos, videos, and documents and get paid continuously. Kled filters, standardizes, and licenses that data to frontier AI labs and enterprises that need fresh, rights-aware training data.Since launching its mobile app in 2026, Kled has: reached #1 on the App Store (Finance) with 0 paid marketing; scaled to 200,000+ active data contributors; processed 1.5–3M uploads per day; and raised $5M+ from investors behind SpaceX, Airbnb, Coinbase, xAI, OpenAI, Anthropic, Spotify, Lyft, Uber, and more. The mission is to let anyone download the app and earn a real living wage from uploading their data.ABOUT THE ROLEDatabase & Infrastructure Engineer (Full-Stack Systems). Kled processes millions of files per day and stores hundreds of millions of media records. The role is to make the data layer world-class.You will:Optimize and scale PostgreSQL (Supabase) infrastructureDesign indexing, partitioning, and query strategies for large-scale media datasetsImprove performance across ingestion, enrichment, and retrieval pipelinesBuild internal tools for querying and auditing large datasetsCreate customer-ready dataset sample packsDesign and automate dataset exports and delivery pipelines (S3, secure transfers, custom formats)Work across backend, ML, and product teams to support new featuresThis is not just DBA work—you will help design the systems that move and package the data powering frontier AI labs.WE’RE LOOKING FORStrong PostgreSQL expertise (indexing, partitioning, performance tuning)Experience working with large datasets (100M+ records preferred)Deep understanding of storage systems (S3 or similar object storage)Strong backend experience (TypeScript, Python, or similar)Comfort building internal tooling and automation scriptsAbility to move between database, backend, and infrastructure workBonus:Experience with data pipelines (ETL, transformation layers)Experience with vector databases (pgvector, FAISS, Pinecone)Experience delivering structured datasets to enterprise customersDevOps experience (CI/CD, infra automation)Experience working with media-heavy systemsCURRENT STACKBackend: PostgreSQL (Supabase) — 188M+ media files; S3 storage; Deno / TypeScript edge functions; Python ML pipelines.Frontend: SwiftUI (migrating to Flutter).COMPENSATIONBase salary: $150,000 - $250,000$150,000 – $350,000 equityBenefitsRelocation supportSF HQ (SOMA) or remoteKled moves fast and works hard (9–9 culture).GROWTH OPPORTUNITYYou will join a team operating at the frontier of applied AI data infrastructure. Kled moves fast and works 7 days a week. In this role, you will have the opportunity to: own core systems that power one of the largest human data networks in the world; design infrastructure that directly influences what data trains next-generation AI models; build at real scale (millions of uploads per day, adversarial environments, global contributors); and ship alongside a team that has built marketplaces, AI systems, and products used by millions.
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