Senior Product Engineer

Location

San Francisco, CA

Full time

On-site

Engineering

• $205K – $265K
  • Offers Equity

Quanta is an AI-powered accounting and finance platform that fixes a major frustration for businesses: stale and slow financial data. We can do in seconds what takes our competitors weeks, which is why we’re trusted by many of today’s fastest growing startups.

By rebuilding accounting from the ground up, we enable business decisions to be made with timely, complete, and explainable financial information. Many of today’s fastest-growing startups, including Decagon, Braintrust, Browserbase, and Mintlify, rely on Quanta as their financial foundation.

We are a tight-knit team of 15, working fully in-person in downtown San Francisco.

Our backgrounds sit at the intersection of finance and engineering. As a group, we have built accounting systems at Remarkable, ledgers at Stripe and Robinhood, and companies from the ground up. We have passed CPA exams, built finance teams from one to dozens, shipped 0→1 products, and scaled systems that support billions in transactions.

We understand our customers because we have been in their shoes. We care deeply about correctness, trust, and building systems that last. We are opinionated about the future of finance and committed to building it together.

We are defining the Operational Ledger, a new financial foundation for how businesses truly understand themselves.

If you want to work on deep, consequential systems, financial data is one of the hardest places to do it well. Accounting sits at the center of every business, yet today it is slow, opaque, and stripped of the context needed to answer real questions. We use accounting as the raw material, not the end goal. By operating directly on real customer data and real workflows, we turn messy, judgment-heavy financial data into a reliable, queryable system of record.

We are building the Operational Ledger by staying unusually close to the real work. Today, that means we do the accounting ourselves for a focused set of customers. This is not a go-to-market shortcut. It is how we learn where existing systems fail, where judgment is required, and where automation actually creates leverage.

Because we operate directly on real financial data and real workflows, our iteration loop is tight. We solve concrete automation problems that exist today, not hypothetical problems framed around what AI might do someday. The product evolves directly from what breaks, what repeats, and what slows teams down in practice.

This approach lets us build systems that are correct, explainable, and ready to support much more powerful interaction layers over time. The goal is not just faster accounting. It is to establish a financial source of truth that can support querying, modeling, and plain-language exploration with confidence.

This is how we earn the right to define a new category of financial systems.

You will build and evolve the core infrastructure that runs Quanta’s accounting and finance platform in production, including ledgers, reconciliation pipelines, and automation workflows. These systems are used daily to operate real businesses, which means behavior must be predictable and failure modes must be well understood.

The work involves engineering in high-stakes areas where mistakes are costly. You will design systems that can be reasoned about end to end and that remain stable as customers, workflows, and scale increase.

A core part of Quanta’s differentiation is how we model businesses in software. Accounting reflects how a company operates, but that reality is messy and full of exceptions, and few abstractions work across companies without careful design.

You will work closely with accountants and the engineers leading our operational data model to apply, stress-test, and evolve these abstractions in real use. This includes iterating on core primitives, object-level data models, and domain interfaces as they encounter real business structures.

Getting this right has outsized…