Software Engineer, Healthcare & Financial Services
Job Description
Position Overview
We're looking for experienced software engineers to join teams focused on automating vertical use cases using Claude, particularly in financial services and healthcare. The two teams currently hiring are: Financial Services – From data retrieval and analysis to predictive intelligence and institutional-quality report generation, we are creating AI experiences that meet the unique standards of the world's largest financial institutions, including investment banks, hedge funds, and asset managers; and Healthcare – From clinical documentation and prior authorization to care coordination, quality reporting, and patient management, these AI experiences need to balance solving critical challenges for healthcare systems, physicians, and patients while ensuring accuracy and compliance requirements. In both teams, you will work closely with research, product, design, and go-to-market teams to deliver products that drive adoption and retention of Claude.
Key Responsibilities
- Responsibilities: Develop deep understanding of critical workflows in these verticals and build novel AI solutions to address the needs of our most important customers
- Responsibilities: Design and build enterprise-grade products with high standards for security, reliability, and regulatory compliance
- Responsibilities: Develop features that enable Claude to learn from workflow patterns, market feedback loops, and process transformation data unique to these verticals
- Responsibilities: Work closely with research teams, including post-training, to ensure Claude is uniquely capable of enabling complex workflows in these areas
Required Qualifications
- Experience Required: 8+ years of experience as a product-minded software engineer, with curiosity and genuine interest in financial services or healthcare domains
- Strong communication skills and ability to work effectively across functions in a fast-moving environment
Preferred Qualifications
- Experience integrating and working with AI/ML models and understanding their capabilities, particularly for financial or healthcare use cases
- Startup experience, particularly in building products from zero to one