Founding Engineer
MangoDesk
Founding Engineer
MangoDesk
AI-driven expert sourcing and evaluation
Company Overview
We're a YC-backed startup on a mission to bridge the gap between AI and the $5T knowledge work economy through cutting-edge data infrastructure and environments. We're a technical team with experience from Scale AI, Uber, and previously founding a successful AI company. We’re based in San Francisco, CA, and recently raised an oversubscribed seed round led by top-tier VCs.
Required 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
Preferred Qualifications
2+ years of experience as a SWE
Prior experience at startups / high-growth companies
Experience with applied AI / AI research - specifically in post-training / RL
MangoDesk provides an AI-powered platform to source, screen, and manage domain experts who evaluate and improve AI models. The platform automates the recruitment process, including screening resumes, conducting initial interviews with an AI interviewer that handles language and expertise assessments, and simulating job tasks to predict a candidate’s potential for success. It serves clients who need high-quality, context-rich data for AI model development across niche areas like law and finance, and helps these clients find and manage expert talent at scale. Unlike many recruiters, MangoDesk focuses on domain-specific experts and uses predictive evaluation to match talent to exact project needs. The company aims to help teams obtain ready-to-use expert input and data by efficiently sourcing and coordinating specialized talent, ultimately accelerating AI model development.
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