At Quanta, we’re tackling one of the most common frustrations business leaders face: getting answers about their finances is tediously slow, and data is always stale.
Today’s status quo is a cycle of painful finance data lag caused by manual and infrequent processes. We’re solving this by automating accounting from the ground up, and can already do in seconds what takes incumbents weeks to deliver. Our platform replaces outsourced manual work with software, and replaces their static, manually entered numbers with a live, contextual view of the business. Our goal is to achieve something currently impossible: enabling every business decision to be made with instant, complete, and realtime clarity.
We are a tight-knit team of 13, working in-person in downtown San Francisco.
Our team has spent our careers at the intersection of finance and technology. Between all of us, we’ve built accounting systems at Affirm, ledgers at Stripe, built previous companies from the ground up, built finance teams from one to dozens, and passed CPA exams in multiple states and countries.
We’re looking for an AI engineer who will develop category-defining AI products that can leverage the entirety of business’ financial data in order to automate work that has always been manual for finance teams. As an early engineer, you will also shape our culture, team, and product strategy.
The qualifications we’re looking for: