About Basis

Basis equips accountants with a team of AI agents to take on real workflows.

We have hit product market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.

Built in New York City. Read more about Basis here.

About the Team

We’re building product experiences where an AI Accountant feels like a capable partner—making complex accounting workflows simple, safe, and trustworthy. That’s our north star.

LLMs put general intelligence inside software, which breaks old product patterns. We’re not building chatbots; we’re designing new human–AI interfaces for real work. Just as mobile-first redefined software design, this paradigm demands new abstractions, systems, and ways of reasoning about state and interaction.

We work from first principles in small, fast loops, partnering closely with Design, Platform, Research, and Accounting SMEs. We think in systems, prize crisp interfaces and clean architecture, and write code that’s observable, operable, and easy for both humans and agents to understand.

We own the customer-facing products that bring the AI Accountant to life—turning messy, high-stakes workflows into reliable experiences, instrumenting them end-to-end, and iterating until they deliver measurable value.

About the role

As a Product Engineer at Basis, you’ll own your projects end-to-end—from concept to launch.
You’ll act as the Responsible Party (RP) for your work: defining the problem, scoping the solution, executing the build, and measuring the outcome.

You won’t be managed—you’ll be empowered. You’ll set your own goals, plan your week, and make the technical and product decisions needed to deliver real impact. You’ll work directly with users and teammates, learn quickly, and iterate relentlessly until your product feels inevitable.

📍 Location: NYC, Flatiron office. In-person team.

What You'll Be Doing:

1. Build the next generation of intelligent product experiences

• Design and ship user-facing products that blend AI reasoning with deterministic workflows.

• Architect APIs, data models, and front-end flows that are clear, observable, and reliable.

• Integrate LLM capabilities—retrieval, reconciliation, prompt stacks, guardrails—directly into product surfaces.

• Keep code “AI-able”: deterministic interfaces, explicit state machines, and simple abstractions agents can reason about.

2. Operate as an RP — own projects from planning through delivery

• Write concise scopes and architecture docs that eliminate ambiguity.

• Build, test, and instrument your systems end-to-end.

• Track progress and surface blockers early; measure outcomes through data and evaluation harnesses.

• Ship with confidence—logging, tracing, feature flags, CI/CD, and rollback plans are all part of the craft.

3. Learn fast and teach through clarity

• Work directly with accountants and users to understand workflows and pain points.

• Turn learnings into better abstractions, better UX, and better systems.

• Document what you learn and share it—your clarity compounds team speed.

What Success Looks Like

• Owner: You plan, build, and deliver projects with autonomy and accountability.

• Engineer: Your systems are legible, reliable, and designed for iteration.

• Builder: You simplify complexity and move from problem to product fast.

• Partner: The people who depend on your products—agents and humans—trust them completely.

• Company-builder: You raise the bar for how software is built at Basis: fast, clear, and principled.

In accordance with New York State regulations, the salary range for this position is $100,000–$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.