Join to apply for the Finance Systems AI Product Lead role at Anthropic Join to apply for the Finance Systems AI Product Lead role at Anthropic Get AI-powered advice on this job and more exclusive features. 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 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 innovative Finance Systems Product Lead to lead the transformation of Anthropic's finance systems and processes through cutting-edge AI technology. In 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. You'll 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

Annual Salary

The expected salary range for this position is:

$230,000 - $300,000 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 Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Finance and Sales Industries Research Services Referrals increase your chances of interviewing at Anthropic by 2x Get notified about new Finance Lead jobs in San Francisco, CA . San Francisco County, CA $169,000.00-$211,250.00 2 weeks ago Oakland, CA $190,000.00-$250,000.00 3 weeks ago AMER GTM Finance & Strategy Segment Lead San Francisco, CA $150,000.00-$200,000.00 3 weeks ago San Francisco, CA $186,000.00-$207,000.00 4 days ago San Francisco, CA $200,000.00-$220,000.00 1 month ago San Francisco, CA $170,000.00-$250,000.00 3 weeks ago San Francisco, CA $150,000.00-$200,000.00 3 weeks ago San Mateo, CA $237,700.00-$341,665.00 1 week ago San Mateo, CA $175,000.00-$200,000.00 3 days ago San Francisco, CA $220,000.00-$260,000.00 2 months ago Sr. Manager Strategic Finance - AI Transformation San Francisco, CA $146,000.00-$237,000.00 3 weeks ago San Francisco, CA $120,000.00-$165,000.00 2 weeks ago Brisbane, CA $280,000.00-$330,000.00 4 days ago Director, Strategic Finance & Chief of Staff San Francisco, CA $240,000.00-$280,000.00 4 days ago San Francisco, CA $120,400.00-$159,500.00 1 month ago San Francisco, CA $85,900.00-$179,500.00 2 weeks ago San Francisco, CA $155,488.00-$194,360.00 1 day ago San Francisco, CA $300,000.00-$350,000.00 2 weeks ago Finance & Strategy Manager - Special Projects San Francisco, CA $190,000.00-$224,000.00 9 hours ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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