About Anthropic

Anthropics 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.

Senior Manager Accounts Receivable Credit & Collections (Americas)

About the role

Anthropic is scaling rapidly and so is our customer base. As our commercial business grows across the Americas 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 Americas 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 EMEA 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.

Key responsibilities

• Set the strategic direction for Americas credit and collections including portfolio management aging reviews and cash forecasting for the region.

• Own the Americas 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 Americas 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 Americas 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.

• 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 Americas-specific commercial and regulatory nuances.

• Represent Americas AR in cross-functional initiatives spanning systems controls and finance transformation.

Minimum qualifications

• 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. D&B 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.

• 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.

Preferred qualifications

• 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 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.

• 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.

Logistics

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were 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. Were 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 aboutour policyfor using AI in our application process