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About the role
About Fresco
Fresco is building the operating system for the $12T construction industry. We (Akhil and Arvind) started Fresco after watching general contractors lose millions on bad bids because estimators were manually reading 500-page blueprint PDFs and typing numbers into spreadsheets. We're replacing that entire workflow with AI.
We're growing 140% month over month and need help scaling.
The Technical Problem
Construction blueprints aren't clean data. They're enormous, spatially complex PDFs full of ambiguous annotations, inconsistent scales, and domain-specific shorthand that no off-the-shelf model handles well. You'll be building systems that:
- Parse and extract structured line items from messy, multi-hundred-page blueprint PDFs at scale, optimizing our Python-based extraction engine to handle GBs of spatial data with low latency
- Ship LLM-powered features that turn unstructured construction documents into accurate, bid-ready estimates
- Close the loop with users: talk to an estimator in the morning, ship a fix by afternoon
Your First 90 Days
- By Day 30: Own and ship improvements to all core parts of our product, targeting a 90% reduction in extraction inaccuracies where applicable.
- By Day 60: Identify and resolve the top three data-quality bottlenecks reported by users, with measurable accuracy improvements in production.
- By Day 90: Propose and prototype a major feature informed by direct user conversations, something that changes how estimators interact with the product daily.
