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Founding Engineer

MangoDesk· Engineering
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San FranciscoFull-timePosted 8mo ago

About the role

YC-backed startup focused on bridging AI and the $5T knowledge work economy through cutting-edge data infrastructure and environments. Based in San Francisco, raised an oversubscribed seed round.

Qualifications

  • Strong technical / computer science fundamentals.
  • Experience building production-grade backend / full-stack systems
  • Deep understanding of scalability challenges and good system design.
  • The ability to take ambiguous requirements, conduct research, analyze tradeoffs, and own project execution end-to-end, balancing speed vs reliability.
  • Strong communication skills and a bias toward ownership

Skills

Required:Technical / computer science fundamentalsBackend / full-stack systemsSystem design / scalabilityResearch and tradeoff analysisOwnership / communication
Last updated Aug 14, 2026. Interested? Apply on the company site.
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About MangoDesk

Simple platform to create data for AI

We help AI teams accelerate the creation of evals and post-training data by creating bespoke data annotation pipelines in seconds and staffing them with the right domain experts. AGI requires expert-created data and evals across domains, quickly and at volumes. Creating this data reliably is a complex operational challenge. We solve this end-to-end. Ankith was previously an engineer at Scale AI where he built the infrastructure for expert sourcing/screening and Gen AI data labeling operations, and Ananth previously founded a software firm with seven-figure revenue and Fortune 500 customers.

Company profileWebsite

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