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 an experienced Indirect Tax Leader to join our Tax team in San Francisco. In this role, you will drive our global indirect tax strategy, manage compliance, and partner with cross-functional teams to support Anthropic's growth. As we expand internationally, you will be instrumental in building scalable tax processes and minimizing risk.
Responsibilities:
- Lead all aspects of global indirect tax compliance, including sales and use tax, VAT/GST, telecommunications tax, and other indirect taxes
- Develop and implement strategies to optimize indirect tax processes, including potential in-house return preparation
- Lead the implementation and maintenance of sales tax engine systems, ensuring proper integration with finance systems
- Collaborate with finance, product, legal, and operations teams to ensure proper tax treatment of our growing product offerings
- Manage relationships with external tax advisors and service providers
- Support international expansion through VAT/GST planning and compliance
- Oversee indirect tax audits and notices, including preparation of supporting documentation and audit defense
- Research and document company positions regarding indirect tax exposures
- Develop, implement, and improve tax accounting practices and procedures for indirect taxes
- Prepare and review tax accruals and manage tax compliance calendar
You may be a good fit if you have:
- 8-10+ years of indirect tax experience in public accounting and/or corporate tax departments
- Bachelor's degree in Accounting, Finance, or related field; Master's in Taxation and/or CPA preferred
- Strong technical knowledge of US sales and use tax systems and international VAT/GST requirements
- Proven experience implementing and managing sales tax engine systems (e.g., Avalara, Vertex)
- Hands-on experience with finance and ERP systems (NetSuite experience a plus)
- Experience with SaaS and cloud-based services taxation preferred
- Demonstrated ability to lead system implementations and integrate tax engines with finance platforms
- Excellent analytical and problem-solving skills with ability to research complex tax issues
- Strong project management capabilities to handle multiple deadlines and priorities
- Exceptional communication skills to collaborate with internal teams and external stakeholders
- Adaptability to a fast-paced, high-growth environment with changing priorities
- Ability to operate independently while maintaining alignment with broader tax strategy
Strong candidates may have:
- Experience in the AI, machine learning, or technology industry
- Experience supporting digital products and international expansion
- Knowledge of property tax and telecommunications tax requirements
- Experience with process automation tools like Power BI or Alteryx
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Annual Salary:
$210,000—$300,000 USD
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.
Anthropic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anthropic and has not been reviewed or approved by Anthropic.
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Strong & Reliable Incentives — Pay is positioned as top-of-market for many technical roles through a mix of high base pay, equity, and occasional bonuses/signing incentives. Benefits like substantial monthly stipends and employer-paid protections further strengthen perceived total rewards.
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Healthcare Strength — Healthcare is described as comprehensive across medical, dental, and vision, with additional mental-health support. Coverage is framed as robust for employees and dependents, which can materially increase the value of the overall package.
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Parental & Family Support — Paid parental leave is described as notably generous, alongside fertility coverage and other family-oriented supports. These elements broaden the rewards package beyond cash compensation and can improve retention for caregivers.
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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.
