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.
As Director, Accounts Payable, you will oversee end-to-end global AP operations at Anthropic: vendor inquiries, invoice processing, vendor payment execution, vendor master data management, month-end close deliverables, and AP internal controls. You will report to the Head of Finance Operations and lead a lean team, with a mandate to transform AP from a high-performing operations function into a strategic, SOX-ready, AI-native pillar of Finance.
This role requires a builder who can stabilize a post-migration ERP environment, architect controls from scratch, and drive improvements to key metrics—all while championing Claude-powered automation consistent with Anthropic’s AI-first culture.
Strategy, Policy & Governance
Design, document, test, and execute AP internal controls for SOX compliance
Drive remediation of any control gaps identified during design and operating effectiveness testing
Own AP walkthrough preparation with external auditors and serve as the primary AP point of contact for audit requests
Own AP systems and design requirements for future systems landscape
AP Operations & Process Optimization
Partner with Procurement to optimize the procure-to-pay process
Oversee end-to-end invoice-to-pay operations across all entities
Oversee vendor master data integrity, OFAC compliance, and banking change controls
Manage international AP complexity: VAT/GST coding, SEPA payments, withholding tax, and entity-specific compliance requirements across all entities
Own month-end close AP deliverables and oversee weekly payment runs across multiple payment methods and banking platforms
Drive AP cycle time and payment timeliness improvements through root cause analysis and process redesign
Team Leadership & AI Automation (Claudification)
Lead and develop a lean team, building depth and cross-training to eliminate single points of failure
Foster a high-trust, collaborative team culture rooted in our team values of collaboration, impact, and curiosity — where team members take ownership of their areas, speak up with feedback, and ask 'could Claude have done that?' after every manual process
12+ years of accounts payable experience at a high-growth technology company, including 5+ years in a leadership role owning end-to-end AP operations
Demonstrated experience leading AP through a major ERP migration (NetSuite to Workday, SAP, Oracle, or equivalent)—including data migration, UAT, cutover, and stabilization
Track record of designing and documenting SOX-compliant AP internal controls in a pre-IPO or public company environment, with direct exposure to external auditor walkthroughs
Proven ability to reduce late payments and improve AP cycle times through process redesign, automation, and root cause analysis—with specific, quantified outcomes
Multi-entity, multi-currency AP experience across US and international jurisdictions, including VAT/GST compliance and cross-border payment operations
Strong cross-functional instincts: proven ability to partner across Procurement, Treasury, Corporate Accounting, Tax, Legal, and Finance Systems teams
AI-curious builder mindset: experience deploying AI tools to automate AP processes, or genuine enthusiasm for doing so—and comfort creating structure where none exists
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.
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.
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.
Anthropic is a public benefit corporation headquartered in Sa