Full-Time
Founding Engineer
Updated on 8/1/2026
MangoDesk
1-10 employees
AI-driven expert sourcing and evaluation
No salary listed
San Francisco, CA, USA
In Person
 Software Engineering (1) |
|---|
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- Strong technical and computer science fundamentals.
- Experience building production-grade backend or 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 while balancing speed and reliability.
- Strong communication skills and a bias toward ownership.
- At least 2 years of experience as a Software Engineer.
- Prior experience at startups or high-growth companies.
- Experience with applied artificial intelligence or artificial intelligence research, specifically in post-training or reinforcement learning.
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.
Company Size
1-10
Company Stage
Seed
Total Funding
$130K
Headquarters
San Francisco, California
Founded
2025
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Simplify's Take
What believers are saying
- Y Combinator Summer 2025 batch validates AI-driven expert sourcing as a high-growth market opportunity.
- Scale AI’s infrastructure expertise enables rapid scaling of MangoDesk’s proprietary AI recruitment platform.
- Fortune 500 client demand for contextual AI data drives consistent revenue growth in niche domains.
What critics are saying
- Gem’s integrated ATS/CRM platform threatens MangoDesk’s differentiation within 6-12 months with high probability.
- Noon AI’s automated talent sourcer reduces reliance on MangoDesk’s AI interviewers in 9-15 months.
- Scale AI may replicate MangoDesk’s model internally within 12-18 months, creating existential competition risk.
What makes MangoDesk unique
- AI-powered expert sourcing cuts time-to-hire by 40% for niche domains like law and finance.
- Automated AI interviewers handle 85% of initial evaluations, improving screening accuracy by 30%.
- Predictive job simulations increase talent retention by 25%, while dynamic matching reduces data labeling costs by 35%.
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