MangoDesk — Accelerate custom evals and post-training data creation. Backed by Y Combinator.
About the role
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.
What they're looking for
- 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
- 2+ years of experience as a SWE
More about this role
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.
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
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
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