Member of Accounting Staff

Basis AI•New York, NY

1d•$100,000 - $225,000•Onsite

About The Position

Basis builds real agents that do real work in the "real economy." Our agents operate for hours at a time, performing end-to-end work for some of the largest accounting firms in the world. We recently raised $100M at >$1B valuation and are racing to deploy the most advanced applied ML at production scale. You will be part of a specialized team that will lead the charge into this new reality by building our core product. While you won't be doing accounting for clients in this role, you will work closely with both Basis' customers and our engineering team to build a product which will transform accounting workflows. The key to success on this team is being able to see around corners and think about how accounting processes should evolve in an AI world - rather than being limited to what they are today. You’re a good fit for this role if you’ve thought deeply about how your current work might look different in just a few years time and want to help usher in this transformation. This requires a clear conception of the fundamentals of accounting, an ability to quickly understand disparate workflows, and the vision to redefine the current process.

Requirements

Bachelor’s degree in Accounting.
One of the following: CPA license or Master’s degree in Accounting
4 - 10 years in audit and/or tax at a top public accounting firm
Experience auditing financial statements end-to-end (cash through operating expenses), including financial statement preparation.
Experience working with many distinct clients across a variety of industries.
Exceptional attention to detail; delivers accurate, high-quality work.
Proactive, high-energy presence; takes ownership and drives outcomes.
Excellent communication skills—able to translate complex accounting concepts into clear, concise verbal and written explanations for non-experts.
Strong prioritization skills; able to manage a growing to-do list and consistently focus on the highest-impact tasks to work efficiently.

Nice To Haves

Demonstrated interest in mentorship—eager to learn from and support teammates.
Enjoys being in the weeds on complex, non-client-facing work.
Strong curiosity about partnering with engineers to build from first principles—comfortable operating without a playbook.
High social fluency and cross-functional collaboration skills; integrates quickly and works smoothly across teams.

Responsibilities

Work closely with engineering and design teams to build out new features and capabilities.
Rigorously think through edge cases and prioritize diligently to ship what matters.
Listen to users and translate their needs into workflows that help them do their best work with AI—while also drawing on your own knowledge and experience to anticipate requirements and proactively shape the product.
Partner with the ML team to develop agent capabilities, learn new things quickly (e.g., reading and pushing code), and practice hands-on prompt engineering—defining rules and behaviors for the LLM to deliver reliable outcomes.