We're building a new system of record for finance, one that understands not just the numbers, but the business context behind them. At its core is our Operational Ledger: a financial data layer that preserves every event, calculation, policy, source, and decision behind the financials, rather than reducing them to contextless entries.
Questions that once took weeks to answer become as routine as a Google search: Why did margins change? Which customers are actually profitable? How are we tracking against budget? We're not bolting AI onto legacy software. Quanta was built from the ground up around granular financial data, flexible primitives, and systems that agents can safely understand and act on.
We've spent years closing the books for real, fast-growing companies and turning what we learn into product. We've already replaced much of what QuickBooks and NetSuite can do and the manual work surrounding them. Customers are now turning off legacy accounting systems and moving to Quanta.
We're still early. The problems are hard, the ambition is enormous, and there's no playbook for what we're building.
The TeamWe're a small tight-knit team working together in person in downtown San Francisco. Our team brings together deep expertise in engineering and finance. We've built accounting systems at Affirm, ledgers at Stripe and Robinhood, launched products from 0→1, scaled infrastructure processing billions of dollars, built finance functions, and closed the books under real operating pressure.
We understand our customers because we have been in their shoes. Quanta's earliest product was built around a few principles we still value: get to learning as quickly as possible, find the simplest solution that works, and build alongside real users and real-world edge cases.
Quanta is for people who want ownership, prioritize learning and outcomes over conventional playbooks, and are comfortable figuring things out as they go. The principles behind our earliest product still shape how we build today: get to learning fast, choose the simplest solution that works, and build with real users in the messy reality of real-world edge cases.
What We’re Looking ForFull-stack engineering experience, ideally on small, high-impact B2B teams
Strong technical fundamentals across modern backend and frontend systems
Systems thinking, including API design, data modeling, and reliability
Product mindset with good judgment around tradeoffs
Comfort with ambiguity, ownership, and self-direction
Strong collaboration skills
Bonus points for experience with financial systems, ledgers, or accounting workflows. You are excited about working in person with a collaborative team in San Francisco.
This Role Is Not for You If…You prefer clearly defined problems with detailed specs, rather than shaping solutions in ambiguous spaces.
You are uncomfortable working in a complex, judgment-heavy domain where correctness depends on context, not just code.
You optimize for speed by accepting known gaps in reliability. Trust matters deeply in the systems we build.
You are primarily interested in AI as a standalone feature, rather than as part of a larger, constrained system.
You prefer working independently or remotely from domain experts. This team works closely and in person by design.
You have deep familiarity with Quanta’s core systems and are comfortable working where correctness is most critical.
You have owned and shipped improvements used daily by internal teams and customers.
You have shaped at least one core abstraction that increases flexibility without compromising trust.
You are a go-to collaborator for engineers and accountants, translating real-world finance problems into clear technical approaches.
You have helped define how the team uses AI in practice to increase leverage.
You are contributing to longer-term technical direction for the Operational Ledger.
You feel strong ownership over outcomes, not just code.
Build a category, not just features. We're not selling a slightly better version of an established tool. We're changing what companies should expect from their financial systems.
Join early enough to matter. We're a small team. The things you discover, build, and prove can become part of how Quanta sells for years.
Learn directly from exceptional people. You'll work alongside founders, engineers, and finance leaders who have built financial infrastructure and operated finance functions firsthand.
Grow with the company. We're looking for someone who wants to master outbound, take on increasing ownership, and help us build the sales organization that comes next.
Competitive early-stage salary
Competitive early-stage equity
Health, dental, and vision insurance
401(k)
Take-what-you-need paid vacation
Commuter benefits
Wellness stipend
Paid lunches and dinners in the office
All the equipment and tools you need to do your best work
Skills Required
- Full-stack engineering experience, ideally on small, high-impact B2B teams
- Strong technical fundamentals across modern backend and frontend systems
- Systems thinking, including API design, data modeling, and reliability
- Product mindset with sound judgment around tradeoffs
- Comfort with ambiguity, ownership, and self-direction
- Strong collaboration skills
- Experience with financial systems, ledgers, or accounting workflows
- Willingness to work in person in San Francisco
Quanta Compensation & Benefits Highlights
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Healthcare Strength — Health, dental, and vision insurance are described as part of the package, aligning with comprehensive coverage expectations for early-stage tech firms. Feedback suggests these offerings are positioned as competitive within the startup landscape.
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Equity Value & Accessibility — Compensation is framed as competitive startup salaries paired with early-stage equity, indicating potential upside tied to company growth. Feedback suggests equity is a significant component of total rewards at this stage.
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Leave & Time Off Breadth — A flexible “take-what-you-need” PTO approach is highlighted, signaling generous time-off norms common in early-stage tech environments. Feedback suggests this policy supports autonomy and flexibility.
Quanta Insights
What We Do
Taking days or weeks to answer questions like these isn’t the exception, it’s how finance works today. Getting to an answer often means digging across finance, data, engineering, and multiple business systems. We think it should feel as easy as searching Google. That’s what Quanta is building, with a fundamentally different approach than layering AI on top of existing financial software. We started with the hardest part: the underlying data. Quanta has spent years doing the actual accounting work for real companies and building the infrastructure necessary to understand their financial reality at an incredibly granular level. We're building what we call the **Operational Ledger** — a system that preserves not only the financial outcome of something that happened, but the context behind it: the source data, calculation, policy, exception, and human decisions involved. That creates a foundation on which AI can do something genuinely new. Instead of navigating dashboards and predefined workflows, imagine asking: *"Why did our margins fall last quarter?"*
Why Work With Us
**Joining now isn't about stepping into a machine and operating one small piece of it. You get to help build the machine.** You'll work close to with leadership, customers, product, and the decisions shaping the company. You'll see problems before there is an established playbook for solving them.
Quanta Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We're 4-days in office and WFH on Fridays