Über diese Cash Manager, Treasury Stelle bei Anthropic
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
Anthropic is building Treasury with scale and automation in mind from the start. We're creating modern, well-controlled processes that can grow with the business - supported by strong systems, clear governance, and practical use of AI-enabled tools. We're designing AI-native workflows from day one, with human in the loop, SOX-grade controls built in rather than bolted on.
This role reports to the Treasury Ops Lead and owns the company's global cash and liquidity function. You'll run the daily cash desk - positioning, forecasting, funding, and payments, while building the visibility and liquidity structures (pooling, concentration, repatriation) that let a multi-entity, multi-currency company see and deploy its cash as one balance sheet.
This is a hands-on role for someone who enjoys both execution and process building. You should be comfortable running the daily position while designing the cash architecture the company will run on at 10x scale.
Key responsibilities
- Own daily cash positioning across all entities and currencies, track balances, consolidate activity, and set the daily funding plan
- Direct cash management operations: wire/ACH execution, cash concentration, sweep structures, and cash pooling activities
- Build and run the short- and medium-term cash forecast (13-week and beyond), including variance tracking, scenario modeling, and reporting to leadership
- Identify and implement strategies to optimize working cash balances and minimize idle funds - right cash, right entity, right currency, right time
- Monitor liquidity risk, counterparty exposure, and concentration limits; escalate before they become issues
- Build a single global view of cash - consolidate balance and transaction reporting across all banks, entities, and currencies into one source of truth
- Partner with the Accounting team to design and manage intercompany funding and settlement processes, including cross-border movement, netting, and documentation
- Streamline cross-border transaction flows and optimize cash repatriation strategies in partnership with Accounting, Tax, and Legal
- Support pooling / in-house-bank structures as the entity footprint grows
- Manage bank relationships from the services side including fee analysis, service reviews, wallet allocation, and connectivity - to get the most out of our banking partners
- Design the "Claudification" layer for cash: identify which workflows to be automated, build the automation, keep humans in the decisions that need judgment
- Support TMS buy vs build evaluation/implementation with a cash-and-liquidity lens: bank connectivity (SWIFT, APIs, host-to-host), balance/transaction reporting, cash-position and forecast modules
- Partner with Finance Systems to simplify and automate cash reporting and forecasting
- Own cash and liquidity data quality - the source of truth that positioning, forecasting, and investment decisions depend on
- Execute cash processes with strong focus on controls, documentation, segregation of duties, and audit readiness
- Support development and maintenance of cash management, liquidity, and ST investment policies and procedures
- Document cash-desk controls for SOX readiness - not as a separate project, but as how the work gets done
- Partner with Accounting on close activities, cash reporting, and audit requests
Minimum qualifications
- You currently own the daily cash position. You log into the bank portals or TMS, you run the position, you set the funding plan, you execute the wires. This is a doing role, not a managing role
- Liquidity-native depth. You came up through the cash desk - positioning, forecasting, pooling, intercompany funding, FX settlement. You think in cash flows and funding needs, not just balances
- Multi-entity, multi-currency fluency. You've moved money across borders, worked through repatriation constraints, and built (or run) a global pooling or concentration structure
- Player-coach DNA. You still do the work - run the position, chase the variance, troubleshoot the wire — while building the system so nobody has to do it manually next quarter
- Hands-on TMS experience. You've worked in a Treasury Management System (Kyriba, GTreasury, Trovata, Quantum, or similar) on the cash/forecasting/connectivity side: configured it, broken it, fixed it
- SOX in your DNA. You think in audit trails, approval chains, and segregation of duties — not because compliance makes you, but because well-controlled processes are the ones that scale
- Comfort with ambiguity. There's no playbook here. You'll write it
- AI-first mindset. Not a prompt engineer - a Treasury person who wants the model handling data so you can focus on decisions
Preferred qualifications
- 5–8 years in Treasury / cash management, ideally at a growth-stage or scaling company where you saw the cash structure get built, not just inherited
- Built or run a cash pooling, notional pooling, or in-house-bank structure
- Cash repatriation experience - worked with Tax on dividends, intercompany loans, or capital returns to move trapped cash
- Short-term investment / money-market experience within an investment policy
- Worked with bank APIs, SWIFT reporting, or Treasury aggregators (Trovata, Kyriba, or direct connectivity)
- Exposure to SOX readiness or IPO prep, even as a contributor
- CTP certification
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.
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.
