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San Francisco, CA$100k - $200k + equityFull-timePosted 8mo ago

About the role

Founding member of the MangoDesk engineering team responsible for building data and evaluation infrastructure powering frontier models. Early hire with ownership and impact on projects from start to finish.

Responsibilities

  • Build production-grade backend / full-stack systems
  • Develop data and evaluation infrastructure for frontier models
  • Own projects end-to-end, from research to execution, balancing speed and reliability
  • Contribute to system design and scalability discussions
  • Collaborate with founders and the YC-backed MangoDesk team to advance company goals

Qualifications

  • Strong technical / computer science fundamentals
  • Experience building production-grade backend / full-stack systems
  • Deep understanding of scalability challenges and good system design
  • Ability to take ambiguous requirements, conduct research, analyze tradeoffs, and own project execution end-to-end
  • Strong communication skills and ownership mindset

Skills

Required:Technical / CS fundamentalsBackend / full-stack developmentSystem design and scalabilityAmbiguity handling and executionCommunication and ownership
Last updated Aug 26, 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.

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