Senior Manager, Finance Systems - Treasury

Anthropic Limited
San Francisco, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 315K

Job location

San Francisco, United States of America

Tech stack

API
Artificial Intelligence
Google BigQuery
Data Architecture
Information Engineering
Data Infrastructure
Data Warehousing
Payment Systems
Systems Integration
Large Language Models
Data Lake
Treasury System
Kyriba

Job description

Anthropic's Finance Systems team builds and owns the infrastructure that powers our financial operations and drives the initiatives that scale the Finance function as the company grows. As our financial operations grow in complexity, the team is moving beyond configuring off-the-shelf platforms and into building the production-grade financial applications that no vendor has built for us yet.

You will own three things end to end:

  • The architecture: design the treasury technology platform and data foundation, make the sequencing and build-vs-buy calls, and get the foundation right so we don't rebuild it in two years.
  • The automation: turn Treasury's daily and monthly operating processes (cash positioning, cash flash reporting, forecasting, bank account management, payments) into tested, Claude-powered workflows that a lean team can run.
  • The ecosystem: figure out how treasury technology plugs into the broader Finance data lake, the ERP, our banks, and vendor systems, so treasury is a well-governed node in the company's data architecture and ecosystems rather than an island on its own.

You will be the bridge between the Treasury business owners and Finance Systems engineering, turning operational needs into a clear plan and driving it through to production.

This is a foundational leadership role with significant ownership over architecture, vendor, and tooling decisions. You will shape how Anthropic sees and forecasts its cash, with room to grow the team and your scope as the function matures.

In this role you will:

Architect the platform

  • Define the target-state architecture for treasury technology: the data foundation, the applications that sit on top of it, and how they connect
  • Design the treasury data foundation (models, tables, pipelines, governance) as the single source of truth for banking, cash, payments, and investment data
  • Lead the treasury management system build-vs-buy evaluation and own the resulting path - vendor selection and implementation, or the internal build
  • Sequence the multi-year roadmap so foundational work lands before the capabilities that depend on it, with minimal throwaway work

Automate key treasury processes

  • Own the product roadmap for daily cash positioning, cash and liquidity forecasting, cash flash and leadership reporting, bank account management, treasury intake, and payment workflows
  • Design and ship Claude-powered agents and dashboards that automate manual, error-prone treasury work, so a lean team can operate at scale
  • Partner with Treasury operators to turn their processes into clear product specs, success criteria, and delivery plans, then drive them through to production
  • Ensure everything we ship is auditable, controlled, and recoverable, with the rigor that SOX compliance demands as scope grows into controlled processes

Define the ecosystem

  • Align treasury data models and governance with the broader Finance data lake strategy so what we build now plugs in rather than gets rebuilt
  • Map and own the integration surface across banks, bank connectivity providers, TMS, ERP, and internal finance systems
  • Drive the technology agenda with our banking partners, TMS vendors, and connectivity providers tracking their technology roadmaps and partnering on emerging capabilities; partner internally with Accounting, FP&A, Internal Audit, and Data Engineering so treasury systems fit the company's control environment and architecture
  • Run the function; set direction for and unblock one to two finance systems engineers; review technical designs

Requirements

  • Have 10+ years of experience in product management, technical program management, or systems leadership in finance, treasury, or fintech
  • Have deep treasury domain knowledge, including cash positioning, liquidity forecasting, bank connectivity, cash pooling structures , or payment workflows
  • Have owned the architecture and platform decisions for an internal finance or data platform across multiple systems and vendors
  • Have a track record of shipping internal platforms or finance systems with an engineering team
  • Have led complex system design and infrastructure programs, and are comfortable owning architecture and platform decisions across multiple systems and vendors
  • Have led a system implementation (TMS, ERP module, or similar) or a material internal build from design through go-live
  • Are a strong stakeholder manager across Treasury, Finance, Engineering, Internal Audit (Risk and Compliance)and external vendors
  • Communicate clearly in writing and in the room, and can run a steering meeting or land a one-pager with executives
  • Thrive in environments where the roadmap, the systems, and the team all need to be built at the same time

Strong candidates may also have:

  • Direct experience with treasury management systems such as Kyriba, Quantum, Trovata, or similar as owner, administrator, or implementer
  • Experience integrating with banking APIs, payment rails, or bank connectivity providers
  • Experience with cash pooling structures, intercompany funding, or multi-entity treasury operations
  • Experience designing or overseeing finance data infrastructure (GCP/BigQuery or a comparable data warehouses, pipelines, reporting platforms) at a program level
  • Experience at a high-growth technology company navigating rapid revenue expansion or system consolidation
  • Built or product-managed AI/LLM-assisted workflows, agents, or Claude-powered automation for financial operations
  • A CTP, CFA, or comparable treasury/finance credential is a nice to have, 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.

Benefits & conditions

Pulled from the full job description

  • Parental leave
  • Flexible schedule, 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.

About the company

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., 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.

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