
Job Description
We founded Bild AI to tackle the mess that is blueprint reading, cost estimation, and permit applications in construction. It's a tough technical problem that requires the newest CV and AI approaches, and we’re impact-driven to make it more efficient to build more houses, hospitals, and schools. Featured on Business Insider.
You’ll
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Own features end-to-end — interview customers every week and watch them use the product, and ship the feature they need by the next week
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Build UIs that make complex blueprint and hardware data feel simple for people who've been doing this on paper for 20 years
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Work across the stack: React frontend, Python backend + infra
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Shape what we build next, not just how we build it
We want
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Great product taste — you care about how things look, feel, and work for the user
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0-to-1 architect and builder who can work across the entire stack
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Comfort talking to customers directly and translating messy domain knowledge into clean product decisions
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Growth mindset, slope > y-intercept
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Communicate with empathy and honesty. Tell us what makes you happy/unhappy
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Don’t mind schlep. We are regularly knee-deep in schlep
Bonus points (if any)
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Have built something people used/paid for (founder/startup)
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Have a construction background
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Are impact-driven
Message with
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Why we’re a fit
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Your favorite fruit (mine is Sitaphal)
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(Please keep it short)
Interview Process
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15 min intro
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1 hour whiteboard technical
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1 hour coding technical
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3-5 day paid work trial
Logistics
- SF-based or willing to relocate, fulltime in-office
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Job Details
- Category
- Aerospace Engineering
- Employment Type
- Full Time
- Location
- San Francisco, Argentina
- Posted
About Bild AI
Bild AI utilizes artificial intelligence to interpret construction blueprints and extract essential material and cost information for builders, and traditionally, obtaining material and cost estimates from blueprints is a labor-intensive task that requires manual drawing and is susceptible to human error, and this method can be both time-consuming and costly, potentially leading to significant financial losses on projects.
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