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Founding Engineer

MangoDesk

San Francisco, CAFull-timePosted 7mo agoStill listed 3w ago

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At a glance

Compensation
No compensation found
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

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Job overview

MangoDesk is hiring a Founding Engineer. MangoDesk is a YC-backed startup focused on bridging AI and the knowledge work economy through data infrastructure. The technical team has experience from Scale AI, Uber, and a successful AI company. They are based in San Francisco, CA, and recently secured an oversubscribed seed round from top-tier VCs.

Important skills include Technical Fundamentals, Computer Science Fundamentals, Building Production-Grade Backend Systems, Building Production-Grade Full-Stack Systems, Scalability Challenges, and System Design. Preferred (not required): Applied AI, Post-Training, and RL.

Skills & qualifications

RequiredNice to have

Skills

Technical FundamentalsComputer Science FundamentalsBuilding Production-Grade Backend SystemsBuilding Production-Grade Full-Stack SystemsScalability ChallengesSystem DesignResearchAnalyze TradeoffsProject ExecutionBalancing Speed vs ReliabilityCommunicationOwnershipApplied AIPost-TrainingRL

Qualifications

2+ Years of Experience as a SWEPrior Experience at StartupsPrior Experience at High-Growth Companies

Full job description

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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