Finance Systems Analyst, Tax

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 Finance Systems Analyst, Tax, to join the Tax Technology team within Finance Systems at Anthropic. You will be responsible for the day-to-day running of Anthropic's tax systems: taking in and triaging requests, keeping tax configuration correct as products launch and registrations change, testing changes before they go live, analyzing tax data, and producing the evidence that shows our tax controls are comprehensive and functional. You speak both tax and system languages natively and serve as the gap between technical teams and the business.

This is an early hire on a small team, and the role is broad by design. It suits someone with a tax operations background who is at home in systems and data; it is not a software engineering role. You will work between the tax team and the systems that calculate and report tax, translating tax requirements into configuration and test cases and building technically appropriate tools with Claude where they are safe and save time. You will report to the Tax Technology Lead and work directly with vendors, auditors, Billing Engineering, Accounting, and the Tax & Treasury team. As the team grows, you will take end-to-end ownership of an area of tax, a tax tool, or new products and jurisdictions.

Responsibilities

• Intake & Triage: Own the queue of tax systems requests from billing support and across the tax team, from intake and triage through resolution or escalation, keeping requesters informed along the way; help build the intake process, including with Claude, as request volume grows

• Tax Configuration: Make and document tax configuration changes as products launch and our footprint grows, including product taxability mapping, registrations, and exemption and refund rules; build runbooks and periodic completeness checks, such as reviewing the products in our billing systems against tax configuration

• Testing & Change Management: In conjunction with our PMO team or alone, design and run user acceptance testing (UAT) for tax and billing changes, keep the test evidence, and give the tax sign-off before changes go live

• Tax Data Analysis: Write SQL against our data warehouse to build reconciliations and tie-outs, investigate discrepancies, and answer ad hoc questions from the tax team

• Controls & Evidence: Prepare ITGC evidence and run the recurring SOX and IPE evidence cycle for tax controls, support auditor walkthroughs, and follow remediation items through to closure

• Cross Functional Collaboration: Act as the tax systems point of contact for Billing Engineering, Accounting and Product, bringing the tax view to design questions and flagging tax impacts before changes ship

• Process Improvement & AI Tools: Use Claude and other AI tools to build reliable, repeatable queries, small tools and documentation that take manual work out of tax operations, and check the output before anyone relies on it; help tax colleagues with a range of technical skills use these tools safely

Minimum Qualifications

• Have hands-on experience configuring or supporting an enterprise tax engine, tax provision tooling, or a billing or ERP system in a tax-facing role

• Can read and write SQL well enough to test and build deterministic reconciliations and trace a discrepancy to its source without help

• Are skilled at translating tax requirements into configuration, test cases and clear requests for engineering teams

• Have owned or been involved in user acceptance testing on a finance systems project, from test design through execution and evidence

• Understand SOX, ITGC and IPE controls, can produce evidence that auditors accept, and have worked with external advisors and auditors

• Have cross-functional experience, communicate clearly with non-technical colleagues, and work directly with vendors, auditors and engineers without an intermediary

• Are comfortable working in a fast paced, high growth environment with evolving requirements and stepping outside of your comfort zone

• Approach areas of tax you may not have experience in with genuine curiosity and a willingness to learn

• Prioritize well and stay resilient when there is more work than time

Preferred Qualifications

• Have 7+ years of experience in tax operations, tax technology or finance systems, with deep, practical knowledge of indirect and/or direct tax (such as sales and use tax, VAT/GST, corporate income tax, transfer pricing, withholding or property tax, R&D credits and incentives)

• Experience across both indirect and direct tax, such as tax provision tooling, income tax compliance, R&D credit tools or transfer pricing data

• Python and data warehouse experience

• Experience with tax setup on the purchasing side of an ERP, from purchase orders through supplier invoices

• Experience with marketplace facilitator rules or usage-based billing

• Familiarity with e-invoicing and real-time tax reporting requirements outside the US

• Experience standing up a recurring controls evidence cycle

• A track record of using Claude or other AI tools to speed up finance or tax work, with checks that hold up to review

• Tax experience at a large or high growth technology company, such as a multinational SaaS business

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$205,000—$270,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

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.