About BuildQ

A $200M solar project gets financed on the strength of a few thousand PDFs: ground leases, interconnection agreements, offtake contracts, permits, title. Analysts read them line by line, by the hour. The documents arrive out of order, in the wrong formats and scanned sideways. The term that kills the deal is on page 74 of a second amendment to an amendment. That review is the bottleneck between capital and megawatts on the grid.

BuildQ accelerates those projects. Our platform has processed 200,000+ documents across 1,100+ projects for the developers, IPPs and funds building multi-billion-dollar solar, wind and storage portfolios.

Most AI companies sell you a tool and wish you luck. We've moved to AI-native services. Our customers don't just use BuildQ to run diligence; they order diligence from BuildQ. An agent builds the deal's document set, extracts and cites the terms, drafts the site control and interconnection deep-dives, and assembles the IC memo. A human expert signs it. The customer gets a finished work product ahead of their deadline, with our name on the line.

The Role

Own the product: everything a customer, analyst or expert reviewer touches, and the platform it all runs on. Talk to the customer, sketch the UI, build it, ship it, and watch it run on a live deal.

What's at Stake

Our customers hand us their most confidential material: unannounced acquisitions, pricing, landowner and counterparty details, deals that haven't closed. Protecting it isn't a compliance checkbox. It's the reason they trust us with it at all. Every system you build treats customer data as strictly isolated, least-privilege and auditable from day one.

And we don't get to be wrong. A hallucinated term in an IC memo isn't a bug report, it's a bad investment decision. Every claim we make must trace to a source page and span. When the evidence isn't there, the system says so and routes the question to an expert. It never guesses. We'll ship a "not found" before we ship a confident wrong answer.

How We Work

We decide with facts, not vibes. Every meaningful change is an experiment: a hypothesis, a metric, a result. "It looks better" doesn't ship. "Recall on termination rights is up 3 points with no false-positive regression" does.

The details are the job. Which document type regressed? Which clause produced the false positive? Does the gain hold on scanned amendments, or only on clean PDFs? In our world, a one-point bump in false-positive rate means real deals with wrong answers, so we notice it, explain it and fix it before it reaches a customer.

What We Offer

• Meaningful equity at a seed stage company
• 401(k) with a match
• Full health coverage for you and your family
• Remote
• Whatever you need to get set up well at home
• All the AI tools and tokens you need