Finance Systems, Finance Operations Systems Lead at ANTHROPIC PBC DBA ANTHROPIC INC

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

315000.0

Posted On

06 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Finance Systems, Finance Operations, Application Support, Project Management, Change Management, Stakeholder Management, Data Integration, AI Automation, Problem Solving, Analytical Skills, Vendor Management, ERP Systems, Payroll Systems, P2P Processes, T&E Management, Documentation

Industry

Research Services

Description

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 We are seeking an experienced Finance Operations (FinOps) Systems Lead to join our Finance Systems team at Anthropic. In this role, you will own the strategic management and continuous improvement of our entire FinOps technology ecosystem, ensuring our procure-to-pay (P2P), travel and expense (T&E) management, and payroll systems and processes scale efficiently to support Anthropic's rapid growth. You will be responsible for application support across our P2P, T&E and Payroll systems, driving AI-powered automation through Claude, and partnering closely with Finance Operations, Accounting, and cross-functional teams to deliver exceptional user experiences and operational efficiency. Responsibilities: Own day-to-day operations, health monitoring, issue resolution, and system configurations for P2P, T&E and Payroll technology stack, including user provisioning and SOX-compliant access controls Drive FinOps process transformation through Claude AI integration and continuous improvement initiatives Manage vendor relationships including contract renewals, SLA compliance, business reviews, roadmap planning, and participation in user communities and advisory boards Design and maintain integrations with ERP, banking systems, and data pipelines to BigQuery, ensuring data quality and security Support ERP transformation by defining integration requirements and participating in implementation workstreams Lead change management and user enablement through documentation, training materials, and strategic rollout planning Maintain SOX controls for P2P, T&E, and Payroll systems and support audits with system documentation and control evidence Represent FinOps requirements in enterprise initiatives including ERP replacement, master data management, and Claude AI deployment You may be a good fit if you: Have 10+ years of experience in finance systems or finance operations, with at least 5 years in system administration or application support roles Possess deep expertise with modern P2P, T&E, and Payroll platforms, with hands-on experience in at least 4 of the following: Zip, Coupa, Brex, Navan, Concur, Workday, ADP, or similar systems Have proven experience managing system integrations between FinOps platforms, ERP systems, and payroll/banking partners Are skilled at translating business requirements into technical solutions and can bridge finance operations and IT/engineering teams effectively Demonstrate strong project management capabilities with ability to manage multiple concurrent initiatives Have experience with change management and user training in fast-paced, high-growth environments Possess excellent stakeholder management skills and can build trusted relationships with Finance Operations, Accounting, IT, and business leaders Are passionate about leveraging AI and automation to transform manual processes and create exceptional user experiences Have strong analytical and problem-solving skills with attention to detail and commitment to data accuracy Strong candidates may also have: Experience implementing or supporting Zip specifically (our core procurement platform) Background in finance operations, AP/AR, or procurement with deep understanding of P2P end-to-end processes Hands-on experience with AI/LLM technologies and have built automation using Claude Technical proficiency with APIs, SQL, Python, or scripting languages to build lightweight integrations or data analysis Experience with global payroll operations and multi-country compliance requirements Knowledge of SOX controls and audit requirements for P2P processes and systems Experience working at high-growth technology companies that scaled from startup to public company operations Background in ERP implementations with focus on P2P modules Familiarity with BigQuery and analytics/reporting tools (Looker, Hex, Tableau) Understanding of procurement best practices including strategic sourcing, vendor management, and tail spend optimization Experience with contingent workforce management and global contractor compliance Prior work with international payroll providers and cross-border payment platforms The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. Annual Salary: $265,000—$315,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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. 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

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Responsibilities

The Finance Operations Systems Lead will manage the FinOps technology ecosystem, focusing on P2P, T&E, and Payroll systems. This role includes driving process transformation and ensuring operational efficiency through AI-powered automation.