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MangoDesk

MangoDesk

AI data pipelines for custom evals and post-training datasets

1 open role
aiSan Francisco, CA1-50SeedFounded 2025

About

MangoDesk builds a platform that generates bespoke annotation pipelines from natural language descriptions for AI teams to create custom evaluations and post-training data. Users can bring their own annotators or use MangoDesk's vetted pool, with auto-generated interfaces, instructions, and QA systems. It accelerates data workflows for improving AI models in software engineering and knowledge work.

Open roles

1
MangoDesk

Founding Engineer

MangoDeskSan Francisco, CA

Founding Engineer builds production-grade backend/full-stack systems for AI data infrastructure at a YC-backed startup, tackling scalability and owning end-to-end execution from ambiguous requirements. Prefers 2+ years SWE experience, ideally at startups with applied AI/RL knowledge.

Salary not listed
On-site2+ YOEFullstack Engineering