9 months ago
USA (city not specified)Mid Level / Senior
Base Salary
$150k - $250k/yr
Responsibilities
- Optimize and scale 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.
Requirements
- Strong PostgreSQL expertise in indexing, partitioning, and performance tuning.
- Experience working with large datasets (100M+ records preferred).
- Deep understanding of storage systems like S3 or similar object storage.
- Strong backend experience with TypeScript, Python, or similar languages.
- Comfort in building internal tooling and automation scripts.
- Ability to work across database, backend, and infrastructure tasks.
Benefits
- Base salary range of $150,000 - $250,000.
- Equity compensation between $150,000 – $350,000.
Tech Stack
About Kled AI
AI companies are spending billions of dollars on data (video, text, sound, etc) to train their models. Kled is the middleman. We partner with top film studios and production houses, label their video content, and sell it to AI companies like OpenAI to help train models like ChatGPT, Sora, Midjourney and more.