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.
The RoleWe're fresh off a Series A led by Accel, with real budget to grow the engineering team and we need an engineering leader to do so.
You'll be leading a high-caliber team of 7 with backgrounds from Stripe, Affirm, Robinhood, Cash App, Meta, Airbyte, and more. You'll also sit on the company leadership team, working closely with the CEO (who comes from an engineering background), and helping shape company strategy and how we operate - not just how engineering runs.
A big part of this role is inventing what engineering effectiveness looks like in the AI era. We're a small, greenfield team with no inherited process and no organizational debt. The tools, workflows, and culture of how we build are still being defined. The people joining now are the ones who shape that.
What You'll DoGrow and develop the team
You'll own hiring end to end - sourcing, closing, and holding a high bar. Startup hiring is not passive; we expect you to bring your network and know how to sell the mission to engineers who have options. Once people are here, you'll invest in their growth: understanding what motivates each person, giving clear feedback, and helping them develop into their best.
Own delivery
You'll create clarity on priorities and make sure nothing falls through the cracks. You'll build the right level of process for where we are - structured enough to execute, light enough to move - and evolve it as we scale. You'll own delivery across workstreams, balance short-term output with long-term technical health, and be a credible technical voice who can mentor engineers on architecture, craft, and production readiness.
Lead the company, not just engineering
You'll be opinionated about the business, push back on strategy when you see something others don't, and think proactively about how the org needs to evolve. You'll anticipate what the team needs to look like in six months, make the call on what role to hire next, and communicate proactively across the company.
What We're Looking ForExperience managing and scaling engineering teams at a startup, ideally as the first or sole engineering leader
Track record of hiring strong engineers and closing candidates who had other options
Technical depth that earns respect - you can mentor on architecture, review hard problems, and engage seriously with a complex domain
Comfort operating in high-ambiguity environments where the playbook doesn't exist yet
Opinionated about engineering culture and effectiveness, and willing to push on it
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.
Why QuantaBuild 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
- Experience managing and scaling engineering teams at a startup, ideally as the first or sole engineering leader
- Track record of hiring strong engineers and closing candidates who had other options
- Technical depth sufficient to mentor engineers on architecture, review complex problems, and engage with a complex domain
- Comfort operating in high-ambiguity environments without an established playbook
- Strong opinions about engineering culture and effectiveness, with willingness to improve them
- Experience with financial systems, ledgers, or accounting workflows
- Willingness to work in person with the team 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
