About the role
ABOUT KLED
Kled is building the largest opt-in human data network in the world.
We are not a labeling firm. We are not a task marketplace.
We are a consumer application where people upload their real photos, videos, and documents and get paid continuously.
We then filter, standardize, and license that data to frontier AI labs and enterprises that need fresh, rights-aware training data.
Since launching our mobile app in 2026, we have:
- Reached #1 on the App Store (Finance) with 0 paid marketing
- Scaled to 600,000+ active data contributors
- Processed 5M uploads per day
- Raised $15M+ from investors behind SpaceX, Airbnb, Coinbase, xAI, OpenAI, Anthropic, Spotify, Lyft, Uber, and more
Our mission is to let anyone download the app and earn a real living wage from uploading their data.
ABOUT THE ROLE
Database & Infrastructure Engineer
(Full-Stack Systems)
We process millions of files per day and store hundreds of millions of media records.
Your job is to make our data layer world-class.
You will:
- Optimize and scale our PostgreSQL (Supabase) infrastructure
- Design indexing, partitioning, and query strategies for large-scale media datasets
- Improve performance across ingestion, enrichment, and retrieval pipelines
- Build internal tools for querying and auditing large datasets
- Create customer-ready dataset sample packs
- Design and automate dataset exports and delivery pipelines (S3, secure transfers, custom formats)
- Work across backend, ML, and product teams to support new features
This is not just DBA work.
You’ll help design the systems that move and package the data powering frontier AI labs.
WE’RE LOOKING FOR
- Strong 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 scripts
- Ability to move between database, backend, and infrastructure work
Bonus:
- Experience with data pipelines (ETL, transformation layers)
- Experience with vector databases (pgvector, FAISS, Pinecone)
- Experience delivering structured datasets to enterprise customers
- DevOps experience (CI/CD, infra automation)
- Experience working with media-heavy systems
CURRENT STACK
Backend
- PostgreSQL (Supabase) — 188M+ media files
- S3 storage
- Deno / TypeScript edge functions
- Python ML pipelines
Frontend
- SwiftUI (migrating to Flutter)
COMPENSATION
- Base salary: $150,000 - $250,000
- $750,000 – $1,500,000 equity
We move fast and work hard.
If you're excited to build the world’s largest consumer app, let’s talk!
GROWTH OPPORTUNITY
You’ll join a team operating at the frontier of applied AI data infrastructure.
In this role, you’ll 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
- Ship alongside a team that has built marketplaces, AI systems, and products used by millions
If you’re excited to move fast, build systems that matter, and help define how human data powers frontier AI, let’s talk.