Software Engineer, Applied AI

At Numeric, we’re building the modern data platform for accounting and finance.

We’re building the financial platform that realizes the dream of live, rich, trustworthy data and insights for companies to drive decision-making & execution.

Among our hundreds of customers are Anthropic, Notion, Brex, OpenAI, Cursor, Plaid, Wealthfront, Mercury, Figma, and Asana.

We raised a $51M Series B in late 2025. We’re backed by IVP, Menlo Ventures, Founders Fund, 8VC, et all. as well as founders and executives from Ramp, Segment, and more.

Why Numeric?

Accounting is a massive, growing data problem. Every business would like to ground their decisions, strategy, and analysis in rich, up-to-date information. Financial data, however, is poor, fragmented, delayed, and lacking context; the accounting work to bring it together is tedious and error-prone. To fix this requires foundational changes in accounting and in the broader finance function.

We are addressing these problems at their root by building the infrastructure and product experiences to ingest events, transform them, match value movement, project interpretations, and report against our unified graph of financial data. We’re applying principles of software engineering and data systems to scale accounting.

We tackle the hard problems. Accounting does not need more duct tape.

We’ve rethought the field—its primitives, assumptions, and practices—while staying grounded by working closely with our customers. As engineers, we do our homework. We study the domain and talk to our users, and by doing so we earn the right to bring a fresh perspective to the problem of financial data.

The Role

We’re turning accountants into engineers, and AI is a critical piece of that story. This role will lead the development of customer-facing AI experiences that make our platform usable, delightful, automated, auditable, and trusted. You’ll be responsible for building both user-facing features and the horizontal foundations we use to bring unified, trustworthy AI automation and experiences to our users. You’ll make strategic decisions and build the loops for how we measure and improve the efficacy of our AI product experiences.

You might be a fit if…

You’re curious by nature. You’re a generalist with a desire to work at the cutting edge of AI tech, and to build novel interaction patterns for a complex domain. You have an instinct to deeply understand your users and the problems they deal with. You like to see things for yourself.

What you need

• Generalist fullstack skills: experience with backend development and web development frameworks
• You have experience shipping greenfield projects
• You’ve built projects with modern AI (bonus points for business-facing contexts)

Bonus points for…

• Work history in a relevant technical area: AI research, AI infra, or design

How we work

This role is in-person in San Francisco.

As an engineer at Numeric you will learn the domain, meet your users, and exercise substantial creativity and agency over product direction. You'll work with a high-pace, high-integrity team that loves collaboration.

We believe the best company is the one with the best ICs and we’ve built a culture to maximize great work. We believe great product & engineering come from a desire to win, a deep care for the craft, and a pragmatism in shipping for overall impact. As engineers we ground our work in our understanding of the users, the domain, and the goals for our organization.

We strongly believe we will only be successful if everyone on the team is anchored in our following set of core principles:

• Own the Outcome: We own our results. We typically hire builders and give them large mandates with high-trust. Engineers are responsible not just for code, but for ensuring the product is solving the end problems of the users.
• Brick by Brick: To win, our team needs to show up and execute in each domain every day.
• Love the Game: We focus on the craft and a deep sense of giving a f*ck. We’re building a company full of people who are equally engaged and motivated.
• Earn the right: Our ability to rethink how things are done depends on the trust and reputation we build by shipping quality products and improving the lives of our users.
• SALY: We refuse to accept “Same As Last Year.” We bring fresh eyes to a stagnated and underserved domain. We’re driven by a first-principles approach to building better solutions.

Read some of our thoughts on engineering and company-building here.