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.
Anthropic is scaling rapidly, and so is our customer base. As our commercial business grows across EMEA, we need a senior leader to own credit and collections for the region. You will join our Invoice to Cash (I2C) team and be responsible for the end-to-end credit and collections lifecycle for EMEA customers, from onboarding credit reviews through dispute resolution and cash recovery.
This is a senior people leadership role with meaningful strategic scope and a strong automation mandate. Anthropic expects its finance function to operate at the frontier of what AI and modern tooling make possible, and credit and collections is a natural place to lead from the front. You will manage a team of managers and analysts, set the credit and collections strategy for the region, and own the automation roadmap that lets us scale cash collection without linearly scaling headcount. You will partner closely with Sales, Legal, Deal Desk, and Customer Success leadership, and help shape the processes, policies, and systems that allow us to extend credit responsibly and collect efficiently at enterprise scale. You will report into the Accounts Receivable Lead and work alongside regional counterparts in the Americas and APAC to drive consistency in how we manage customer credit risk globally.
If you enjoy building operational rigor in a fast-moving environment, have a track record of scaling credit and collections functions through automation and AI, and care about doing right by customers while protecting the business, we would love to hear from you.
Set the strategic direction for EMEA credit and collections, including portfolio management, aging reviews, and cash forecasting for the region.
Own the EMEA collections automation roadmap, including segmentation strategy, dunning workflows, self-service payment experiences, and automated dispute routing.
Drive adoption of AI across the credit and collections workflow, including intelligent prioritization of collector outreach, AI-drafted customer correspondence, predictive risk scoring, and automated reconciliation of customer responses.
Lead, coach, and develop a team of credit and collections professionals, including people managers, setting clear KPIs around DSO, aging, collection effectiveness, and automation coverage.
Own credit risk strategy for new and existing EMEA customers, including credit policy, credit limit frameworks, payment term guidelines, and data-driven escalation of higher-risk accounts.
Partner with Sales, Deal Desk, and Legal leadership on contract negotiations involving payment terms, credit exposure, and non-standard billing arrangements.
Drive timely resolution of material customer disputes in partnership with Billing Operations, Cash Application, and Customer Success.
Develop and refine credit and collections policies, playbooks, and escalation paths suited to a rapidly scaling enterprise SaaS business, with automation embedded by default rather than bolted on.
Lead the EMEA rollout and continued optimization of our AR automation platform, including workflow design, integrations with ERP and billing systems, and reporting.
Partner with Finance Systems and internal AI tooling teams to identify and deploy agentic and LLM-based solutions that reduce manual work and improve decision quality across the credit and collections lifecycle.
Navigate EMEA-specific regulatory, tax, and payment landscape considerations, including VAT, SEPA, cross-border collections, and multi-currency receivables.
Deliver regular reporting and insights on receivables health, bad debt reserves, collections performance, and automation metrics to senior finance leadership.
Collaborate with regional AR peers to harmonize global credit and collections standards while accounting for EMEA-specific commercial and regulatory nuances.
Represent EMEA AR in cross-functional initiatives spanning systems, controls, and finance transformation.
Experience leading credit and collections teams in a high-growth or enterprise SaaS environment, including managing other managers.
Demonstrated experience driving automation across credit and collections workflows, with measurable improvements to efficiency, coverage, or DSO.
Strong working knowledge of commercial credit risk assessment, including use of credit reporting tools (e.g., Dun & Bradstreet, Creditsafe, Experian) and financial statement analysis.
Hands-on experience with ERP and AR systems (e.g., NetSuite, Oracle, SAP) and AR automation platforms (e.g., Tesorio, HighRadius, Billtrust), including shaping workflow and integration design rather than just using them.
Working knowledge of EMEA-specific AR considerations, including multi-currency collections, SEPA/BACS payment flows, and VAT implications for billing and collections.
Proficiency in Excel or Google Sheets for portfolio analysis, reporting, and ad hoc modeling.
Strong written and verbal communication skills, with the ability to navigate sensitive customer and executive-level internal conversations diplomatically.
10+ years of progressive experience in accounts receivable, credit, or collections, including significant time leading teams and managing people managers.
Hands-on experience deploying AI or LLM-based solutions in a finance or AR context, whether through vendor tooling, custom workflows, or agentic systems.
Experience supporting a company through rapid scaling across multiple EMEA jurisdictions, including process build-out, systems implementation, and org design.
Familiarity with enterprise contract structures, including multi-year deals, usage-based billing, and non-standard payment terms.
Exposure to global AR operations and cross-regional coordination.
Experience partnering with Sales and Deal Desk leadership on complex commercial negotiations.
Working knowledge of SOX controls and audit requirements as they relate to AR and credit.
Additional European language skills relevant to the customer base.
Comfort prompting and evaluating LLMs as part of daily work, and a point of view on where AI creates real leverage in a finance function versus where it does not.
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 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.
