Finance Systems AI Product Lead

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.

About the role

We are seeking an innovative Finance Systems Product Lead to lead the transformation of Anthropics finance systems and processes through cutting-edge AI this role you will spearhead the development and implementation of Claude-powered solutions to revolutionize our finance processes from Order-to-Cash (OTC) and Procure-to-Pay (P2P) to comprehensive finance systems and processes. Youll drive operational efficiency streamline our financial close processes and create delightful user experiences for our finance teams.

As a key member of our Finance and Product organizations you will work at the intersection of finance domain expertise and AI innovation partnering closely with functional leaders engineers and data scientists to build the future of finance systems and processes at Anthropic.

Responsibilities:

• AI-Powered Finance Innovation: Lead the development and deployment of Claude-based solutions to automate and enhance finance processes including financial close reconciliations expense management and reporting workflows
• Product Strategy & Roadmap: Define and execute a comprehensive product strategy for finance technology initiatives balancing innovation with operational excellence and regulatory compliance
• Cross-Functional Leadership: Partner with Finance leadership Engineering teams and Data Science to identify opportunities prioritize initiatives and drive successful implementation of AI-powered finance solutions
• Process Optimization: Analyze existing finance workflows to identify inefficiencies and design Claude-powered solutions that streamline operations reduce manual effort and improve accuracy
• User Experience Design: Be the voice of the customer and act as the bridge between customer objectives and our technical capabilities. Champion user-centered design principles to create intuitive efficient interfaces and experiences for finance professionals using AI-powered tools
• Data & Analytics Integration: Collaborate with data teams to ensure seamless integration of financial data enabling AI models to provide accurate insights and automation capabilities
• Change Management: Drive adoption of new AI-powered finance tools through effective training communication and support programs
• Performance Measurement: Establish KPIs and success metrics to measure the impact of AI implementations on finance operations user satisfaction and business outcomes
• Stakeholder Communication: Present progress insights and recommendations to senior leadership clearly articulating the business value of AI investments in finance

You may be a good fit if you:

• Have 8 years of product management experience with a strong focus on finance technology enterprise software or data products
• Possess deep finance domain knowledge across OTC P2P financial close and finance operations processes
• Have hands-on experience with AI/ML technologies particularly large language models and understand their practical applications in business contexts
• Demonstrate technical proficiency with SQL Python and data analysis tools with the ability to work closely with engineering teams
• Have successfully led cross-functional initiatives involving Finance Engineering and Data Science teams
• Show proven ability to translate complex technical concepts into business value and user benefits
• Are experienced in agile product development methodologies and stakeholder management
• Have a track record of driving operational efficiency and process improvements through technology
• Excel at building relationships across functions and influencing without direct authority
• Bring strong analytical and problem-solving skills with attention to detail
• Are passionate about the potential of AI to transform business systems and processes

Strong candidates may have:

• Experience with financial systems such as NetSuite SAP Oracle or similar ERP platforms
• Knowledge of financial compliance requirements and audit processes
• Background in implementing financial data lakes ETL pipelines or business intelligence solutions
• Previous experience developing AI-powered business applications or working with LLM APIs
• Experience with data visualization tools like Tableau Looker or similar platforms
• Understanding of modern cloud infrastructure and API integrations
• Previous experience at a high-growth technology company
• Familiarity with finance automation tools and emerging fintech solutions

Representative projects:

• Design and implement Claude-powered automated reconciliation systems to reduce manual work in financial close processes
• Develop AI-assisted expense categorization and approval workflows to streamline P2P operations
• Create intelligent financial reporting assistants that can generate insights and answer complex finance queries
• Build predictive analytics capabilities for cash flow forecasting and budget variance analysis
• Design conversational AI interfaces for finance team members to interact with financial data and systems
• Implement automated anomaly detection in financial transactions and reporting

Logistics

Education requirements: We require at least a Bachelors 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 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.

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