International Revenue Accountant

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Dublin, IRL
In-Office
140K-170K Annually
Artificial Intelligence • Natural Language Processing • Generative AI
The Role
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 qualified Revenue Accountant to join our growing Finance team in Dublin, Ireland. This role combines revenue operations, technical accounting, and order management responsibilities, supporting our international expansion efforts. This role will report to the International Revenue Accounting Manager and work closely with the broader revenue accounting team.

In this role, you will:
  • Support the implementation and maintenance of Ireland's revenue accounting operations, executing established processes and procedures
  • Process customer access provisioning for executed EMEA contracts accurately and timely, ensuring billing aligns with contract terms
  • Assist with revenue accounting technical reviews, partnering with Legal, GTM Finance, and Sales teams to support deal execution and compliance
  • Review revenue contracts and prepare supporting documentation, including checklists, journal entries, and technical accounting analysis under ASC 606 standards
  • Execute assigned revenue-related month-end close activities and assist with flux analysis for Ireland operations
  • Collaborate effectively with cross-functional stakeholders to support business operations and process improvements
  • Work closely with US teams to maintain alignment and consistency of revenue accounting processes
  • Support compliance efforts by maintaining adherence to key controls and providing documentation for audit requirements
You may be a good fit if you:
  • 7+ years of progressive accounting experience with substantial focus on revenue recognition
  • Professional accounting qualification (ACA, ACCA, CIMA, or equivalent) - required
  • Strong knowledge of ASC 606 and IFRS 15 revenue recognition standards
  • Experience with revenue recognition tools (NetSuite ARM, Oracle, Workday Financial Management, or Zuora RevPro)
  • Proven ability to review contracts, and prepare and review technical accounting documentation
  • Strong analytical and problem-solving skills with attention to detail
  • Effective communication skills with ability to work collaboratively across teams
  • Demonstrated ability to manage multiple priorities in a fast-paced environment
  • Self-motivated with a focus on continuous learning and process improvement
Strong candidates may also have:
  • Bachelor's degree in Accounting or Finance
  • Experience in high-growth technology environments
  • Experience supporting deal desk or pre-execution advisory processes
  • Exposure to both consumption-based and subscription-based revenue models
  • Experience with B2B and/or B2C revenue streams
  • Multi-currency and international accounting experience

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:
€140.000€170.000 EUR
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

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.

  • 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.
  • 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.
  • 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.

Anthropic Insights

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The Company
HQ: San Francisco, California
2,500 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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