About the role
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
About MangoDesk
Long-horizon RL environments
Job details
Salary
$100,000 - $200,000
Equity
0.5% - 1.5%
Location
San Francisco, CA
Experience
0+ years
Funding
Total raised
$130K
Last stage
Seed
Investors
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.