Sr. AI Accountant

United States·New YorkFull-Timesenior

Data ScienceFinance & AccountingOtherAccountant

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Quick Summary

Overview

Become a leader within the AI revolution, using your technical accounting knowledge to build, refine & deploy AI accounting technology. Contribute to a rocket ship growth story, backed by top VC's and alongside elite talent from McKinsey, Harvard, Khosla Ventures and others.

Technical Tools

project-management

Significant Equity: The role includes equity options with expectations of future value @ 7-digits+ in 3 yrs+

Circle of the Brightest: Join a team of exceptional talents. Build invaluable forever-connections... the type that enable a career of elite heights.

Career Rocket Ship: A demanding opportunity, but one that will position you (with a high-demand skillset and tech-enabled experience) at the forefront of a reshaped finance & accounting profession.

Rigorous Accounting Expertise: Proven track record of top performance in competitive accounting environments, essential for leveraging accounting knowledge into AI software model development.

Highly Curious & Tech-Savvy: Demonstrates excitement for new technology and a mindset that challenges the status quo, applying past learnings to innovate and build net new capabilities.

Active Team Builder with Strong Presence: Thrives in a high-energy, in-person NYC office environment, showing ownership, high agency, curiosity, and a positive attitude that fuels team dynamics.

Learn & Provide Technical Accounting Expertise: Quickly grasp diverse accounting workflows and develop model guidance to support them.

Build Process: Decompose complex accounting processes into clear, repeatable steps and oversee their execution effectively.

Model Eval Work: Create advanced company frontier models to train and rigorously test accounting best practices against benchmarks of “What good looks like.”

Project Management: Develop project plans, lead initiatives, and maintain transparent communication with product teams, external accounting stakeholders, and internal engineers.

Product Support: Engage in client integration efforts to facilitate onboarding, troubleshoot challenges, and relay client feedback to enhance company models continuously.

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