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Founding Engineer

MangoDesk

San Francisco, CAFull-timeSeen 2w agoStill listed 2w 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

As a founding member of the engineering team, you will build data and evaluation infrastructure that powers frontier models, taking significant ownership of projects from start to finish and delivering direct impact while collaborating with a YC‑backed startup in San Francisco.

Skills & qualifications

RequiredNice to have

Skills

Computer Science FundamentalsProduction‑Grade Backend DevelopmentScalability DesignProblem SolvingCommunicationApplied AI

Qualifications

1+ Years of Experience as a SWEPrior Experience at Startups / High‑Growth Companies

Full job description

As a founding member of our engineering team, you’ll play a pivotal role in building the data and evaluation infrastructure that powers frontier models. Joining as one of our earliest hires, you’ll take on significant ownership - leading projects from start to finish and seeing direct and immediate impact of your work. 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

  • 1+ 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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