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Black Ore is building the leading AI platform to accelerate financial services with Tax Autopilot, a scalable AI-driven tax solution. The Technical Tax Specialist will join the Information Architecture team to formalize complex tax concepts into software artifacts and collaborate with CPAs, engineers, and product stakeholders.
The ideal candidate is a CPA with 3–5 years in public accounting or tax technology, able to translate regulatory guidance into implementable data models and workflows for
Black Ore is building the leading AI platform designed to accelerate financial services. The company’s flagship offering, Tax Autopilot, leverages proprietary AI agents to automate tax preparation and compliance, helping CPA & tax firms overcome the talent shortage and accelerate growth for their practice.
Founded in 2022, we launched with $60 million in early stage funding from some of the world’s leading investors including a16z, Founders Fund, General Catalyst, Khosla Ventures, Oak HC/FT, Trust Ventures and leading tech founders/angel investors including Jason Gardner (Founder and CEO of Marqeta), Max Levchin (Founder of Paypal and Affir..., Tom Glocer (Former CEO of Thomson Reuters), Gokul Rajaram, and Mark Britto (EVP, CPO, PayPal).
Our team has an incredibly ambitious vision to completely transform the way businesses and consumers interact in financial services. We’re looking to hire strong team members to grow the team. Some of the traits we look for are:
Black Ore is seeking a Technical Tax Specialist to join our Information Architecture team and serve as a tax domain expert for the design of AI-driven tax software. In this role, you will collaborate with CPA’s, architects, engineers, and AI experts to deliver the next generation of AI-enabled innovation for financial services.
This role sits at the intersection of tax practice, information architecture, and AI-enabled software design. The ideal candidate is a highly skilled tax professional with strong analytical capabilities and the ability to formalize complex tax concepts into implementation-ready software artifacts.