Tax Operations, Provision, and Compliance Senior Manager

Posted Yesterday
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San Francisco, CA
In-Office
210K-300K Annually
Senior level
Artificial Intelligence • Natural Language Processing • Generative AI
The Role
The role involves overseeing tax operations and compliance, managing income tax provision, and collaborating across teams to ensure accurate data flows and process improvements.
Summary Generated by Built In
About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

We are seeking a Tax Operations, Provision, and Compliance Senior Manager. Reporting to the Tax Operations, Provision, and Compliance Lead, you will support and drive portions of our tax operations, provision, and compliance processes. This role combines strong technical expertise across multiple tax disciplines with proven operational and leadership skills to ensure accurate, timely, and efficient tax operations as we continue to scale globally.

Responsibilities:

Income Tax Operations & Provision

  • Review and oversee the income tax provision, including deferred tax asset and liability calculations and technical analysis of tax positions

  • Provide strategic oversight and technical input for tax provision methodology and process improvements

  • Review tax disclosures in financial statements and coordinate with external auditors


Tax Compliance Operations

  • Coordinate the filing of federal and state income tax returns

  • Establish standardized processes for tax compliance workflows

  • Manage information gathering and reporting processes across multiple jurisdictions

  • Oversee tax compliance calendar and ensure timely filings across all tax types

  • Develop and maintain tax documentation and support for audit processes


Process & Team Collaboration

  • Drive continuous improvement in tax operations through process optimization and technology implementation

  • Build and maintain strong internal controls and documentation for SOX compliance

  • Collaborate across finance, accounting, and operations teams to ensure accurate tax data flows

  • Partner with tax technology and data teams to enhance tax systems and analytics capabilities

You may be a good fit if you:
  • Have 10-15 years of progressive experience

  • Hold CPA certification and/or advanced degree in taxation and accounting

  • Have experience supporting tax operations, provision, and compliance during rapid international expansion

  • Have worked at both private and public companies

  • Have proficiency in tax provision software (OneSource Tax Provision, CoreTax, or similar) and various ERP systems

  • Excel at managing multiple workstreams and coordinating complex operational processes

  • Thrive in fast-paced, scrappy, and dynamic environments and can adapt quickly to evolving needs

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary:
$210,000$300,000 USD
Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Top Skills

Coretax
Onesource Tax Provision
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The Company
HQ: San Francisco, California
57 Employees

What We Do

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

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