Engineering Manager, Billing & Monetization

AI Agents for Faster Audit and Finance Workflows DataSnipper is the agentic platform transforming the audit and finance industry. Powered by AI Agents, DataSnipper helps professionals reduce manual work, accelerate document analysis, and streamline complex workflows while maintaining full transparency and control. Trusted by Fortune 500 companies, government agencies, global enterprises, and all Big Four audit firms, DataSnipper is used by professionals across 175 countries. Named to the 2026 Forbes Fintech 50, Fast Company's World's Most Innovative Companies list, and TIME's Best Inventions of 2025 for AI, DataSnipper delivered more than 1.4B in productivity savings to its customers in 2025. The company raised 100 million in Series B funding in 2024, led by Index Ventures, reaching a 1 billion valuation. Software Development Specialties: Audit Transformation, Automation, Audit and Finance Technology, Document Extraction, Intelligent Automation, Document Matching, Audit Automation, Accounting Technology, Document Analysis, Compliance Automation, Test of Details, Cross-Referencing, Disclosure Review, Internal Audit, Financial Statement Review, Audit and Assurance, Excel Automation, Artificial Intelligence, Agentic AI, AI Agents

We are looking for a skilled and passionate Engineering Manager to join our Billing & Monetization Team in the New York City office. Working in a bootstrapped and profitable scaleup, you'll have the unique opportunity to lead the team that powers how our agentic AI products are metered, priced, and billed, building the systems that turn AI usage into reliable, transparent revenue for a fast-growing category-defining company. WHY DATASNIPPER Audit and finance are still massively manual, and we're changing that. DataSnipper is a 1B, bootstrapped unicorn with 600,000+ users across 180+ countries, already embedded in the daily workflows of top audit and accounting firms. Now, we're bringing AI directly into where the work actually happens through our agentic products, and monetizing AI usage at scale is central to how we grow. As our agentic products expand, so does the complexity of measuring and monetizing them. Credit consumption, usage-based billing, and transparent pricing are core to the business, and the systems behind them need to be accurate, real-time, and trustworthy. If you want to own the infrastructure where AI usage meets revenue at scale, this is the place. WHAT YOU WILL DO - Lead an engineering team through outcomes, not tasks; set clear goals with the team and trust them to figure out how. - Make the team measurably better; raise the engineering bar, grow engineers into bigger problems, and address performance issues directly when they arise. - Driv