Open roles

SOFTWARE · Engineering

Founding Engineer

MangoDesk

2+ yrsOn-site · San FranciscoFullTimeListed 8mo ago
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Backed by

Y Combinator

HQ

🇺🇸 San Francisco

Open roles

2

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Experience 1–3 yrs (2+ years)

About the role

structured by ORI

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.

What they are 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

Nice to have

  • 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
computer sciencebackendfull-stacksystem designapplied AIAI researchpost-trainingRL
Full posting text

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
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