Finance Systems, AI Data Engineer

About the role

We are seeking a Finance AI Solutions Engineer to help build the next generation of AI-powered tools for finance and accounting teams. You'll work at the intersection of engineering, product development, and finance operations, collaborating closely with our Finance team to transform how finance professionals interact with data and automate their workflows using Claude.

This role offers the opportunity to take full ownership of complex problems at the frontier of AI application in finance. You'll rapidly build proof-of-concepts that demonstrate value, working with passionate engineers and stakeholders to architect and implement innovative solutions. Your work will span both internal tools for Anthropic's finance team and insights that inform external products, directly contributing to our mission of building safe and beneficial AI systems.

Responsibilities:

• Build AI-powered prototypes that showcase how Claude can solve real finance and accounting problems - from document processing to natural language data queries
• Design and implement systems that handle OCR, document parsing, and natural language processing to transform unstructured finance data into actionable insights
• Partner closely with accounting and finance teams to understand workflows, pain points, and requirements, then translate those into technical specifications and working prototypes
• Build and maintain data pipelines, manage metadata, and ensure the underlying data infrastructure supports reliable AI applications
• Work with product teams to shape the roadmap and ensure what you're building is supported on the platform
• Iterate rapidly from concept to working prototype, gather feedback from finance users, and refine based on what you learn
• Identify opportunities to automate manual finance processes through AI technologies and system integration
• Create technical documentation and provide guidance to finance teams on how to leverage AI tools effectively

You may be a good fit if you:

• Have strong software engineering fundamentals and ability to build end-to-end applications
• Have experience with natural language processing, document processing (OCR), or working with unstructured data
• Are comfortable with data engineering: pipelines, data quality, metadata management, ETL processes
• Have ability to work closely with non-technical stakeholders and translate business needs into technical solutions
• Have a track record of building prototypes or MVPs quickly and iteratively in fast-paced environments
• Possess strong analytical and problem-solving skills with the ability to take ownership of complex problems
• Have excellent communication skills and can effectively collaborate with both technical and business stakeholders
• Are excited about AI's potential to transform knowledge work and care about building systems that are safe and beneficial

Strong candidates may also have:

• Experience building tools for finance or accounting teams
• Familiarity with financial data structures, accounting systems, or ERP platforms
• Experience with LLMs, prompt engineering, and AI application development
• Background in data warehousing or analytics platforms (BigQuery, Snowflake, etc.)
• Prior work on internal tools that scaled to external products
• Experience with financial processes including close, reporting, and compliance workflows
• Knowledge of modern cloud-based finance platforms and integrations
• Understanding of startup financial operations and scaling challenges
• Experience in technology companies or other high-growth environments

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:

$205,000 - $265,000 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!

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