About the job
About Seapoint
Seapoint is revolutionizing financial management for European startups and scale-ups. We offer an AI-driven business account that consolidates payroll, expenses, invoice payments, and reporting into a single platform, simplifying financial operations.
Founded by Sean Mullaney, former European CIO at Stripe, alongside a talented team of alumni from Stripe, Wise, Wayflyer, Nubank, and Tide, we recently secured $3M in pre-seed funding from Frontline Ventures. After nine months of dedicated development, we are now in private beta, collaborating with numerous VC-backed startups who are gaining unprecedented visibility into their financial landscapes.
Our mission is clear: to bridge the gap for European startups caught between the limitations of neobanks and the complexities of traditional banking. By automating the tedious aspects of finance through AI, we empower founders to focus on what truly matters—the growth of their businesses.
Discover more about our innovative solutions here.
About the Role
We are seeking an experienced AI Software Engineer to take ownership of and enhance the intelligent systems that fuel our financial platform. You will directly influence how founders manage their finances by developing AI features that enrich transaction data, automate invoice matching, and provide insightful reporting and forecasting.
Key Responsibilities
Vendor Enrichment Pipeline: Enhance our existing system that aggregates bank transactions from various sources (open banking, accounting software, email invoices) and enriches them with vendor details. This role includes improving search accuracy, normalization logic, and data integration.
Invoice Management Automation: Expand the AI capabilities behind our bill payment product, which scans invoices and matches them to transactions. There is significant potential for enhancements in risk assessment, beneficiary creation, and payment automation.
AI Evaluation Infrastructure: Advance our evaluation framework by utilizing a dedicated environment to test AI prompts and agents. Implement industry best practices for accurately measuring AI system performance.
Feature Development: Spearhead technical discovery for AI-driven functionalities across reporting, forecasting, and other essential areas. Propose and scope innovative capabilities that enrich the financial experience for business owners, steering us towards agent-based systems.

