International Revenue Accountant
Dublin, IEFull-TimeMid-levelAccounts / Finance
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
- 5+ 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 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.
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.
