Lead development and validation of multi-state tax documentation and datasets for AI systems. Prepare and review SALT returns, apportionment schedules, nexus analyses, and state-specific workpapers. Conduct multi-jurisdictional research, monitor law updates, and convert tax concepts into machine-readable formats. Collaborate with data and engineering teams and provide expert feedback to improve AI-generated tax outputs and ensure data integrity.
About TaxGPT
State and Local Tax Expert
Who we’re looking for
What you’ll be doing
What makes you a good fit
TaxGPT is revolutionizing the tax and accounting space with AI-driven solutions tailored for accountants, tax professionals, and SMBs. We are building an AI co-pilot to transform tax workflows, drive efficiency, and simplify compliance. Recently named one of Business Insider's 30 Early-Stage Startups Most Likely to Become Tech's Next Unicorns, we would love for you to join our growing team.
State and Local Tax Expert
San Francisco, CA or Remote (US) | $80,000 - $120,000 | Benefits- Medical, Dental, Vision, 401k + 3% match, Life insurance
We’re seeking a State and Local Tax Expert with extensive experience in multi-state compliance and consulting. You’ll play a critical role in developing and validating the tax data and documentation that power our AI systems.
This position is ideal for someone who thrives on complexity, balancing deep technical knowledge with practical problem-solving, and is eager to shape the next generation of intelligent tax technology.
You’ll collaborate closely with our data and engineering teams to ensure our AI models reflect the nuances of real-world state and local tax compliance across jurisdictions.
This is your chance to apply your expertise beyond client work, impacting how thousands of professionals use AI to simplify tax compliance and planning.
What you’ll be doing
- Prepare, review, and validate state and local tax documentation and datasets, including income, franchise, and sales and use tax returns.
- Develop and refine state-specific workpapers, apportionment schedules, nexus analyses, and adjustment templates.
- Conduct in-depth research on multi-jurisdictional tax laws to enhance the accuracy of AI-generated outputs.
- Collaborate with cross-functional teams to translate complex state tax concepts into structured, machine-readable formats.
- Monitor state and local tax law updates and incorporate key changes into training datasets.
- Ensure accuracy, compliance, and data integrity across all tax content and training materials.
- Provide expert feedback on AI model outputs to improve precision, context, and realism.
What makes you a good fit
- 5+ years of experience in state and local tax compliance and consulting.
- Proven track record preparing and reviewing multi-state income, franchise, sales and use, and other state and local tax returns for individuals, small businesses, and mid-sized entities.
- Demonstrated expertise in developing comprehensive state and local tax workpapers, including apportionment schedules, nexus analyses, and state-specific adjustments.
- Strong background conducting state and local tax research to resolve complex technical issues across multiple jurisdictions.
- Ability to critically evaluate AI-generated tax content, identifying errors, omissions, and edge cases, and apply your SALT expertise to validate and improve it.
- Hands-on experience managing clients with multi-state tax obligations, including coordinating compliance across multiple jurisdictions and addressing varying state requirements.
- Experience serving clients across diverse industries with a focus on individuals and small to medium-sized businesses.
- CPA, EA, or equivalent certification preferred.
- Excellent analytical, organizational, and communication skills.
- Proficient in using tax and accounting software, along with collaboration tools like Slack, Google Workspace, and Fathom.
Nice-to-Have Skills:
- Experience with indirect tax automation tools or SALT-focused technology solutions.
- Background in startups or fast-paced, tech-driven environments.
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