Hiring: Engineering Manager, Billing & Monetization Company: DataSnipper Location: New York, NY Job Posted Time: 2026-09-12 11:39:00 Employment Type: Hybrid Target Skills & Keywords : Azure, Cloud Native, Embedded Systems, Python, Stripe About the job Experience: •3 years of leading and managing engineering teams, driving performance, growth, and professional development through hands-on mentorship, feedback, and goal setting. •5 years as a software engineer with a passion for building scalable, reliable, and high-quality software systems. •At least 3 years of leading and managing engineering teams, driving performance, growth, and professional development through hands-on mentorship, feedback, and goal setting. •Minimum 5 years as a software engineer with a passion for building scalable, reliable, and high-quality software systems. Required Skills: •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. •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. •Drive a step change in what the team can do with AI; not just shipping faster, but tackling harder problems, raising quality, and expanding what the team can credibly own. •Lead the team responsible for building the credit, metering, and billing systems that power monetization across our agentic AI products, from usage tracking and credit consumption to invoicing and revenue reporting. •Own the technical direction and architecture of the billing and monetization platform, ensuring metering is accurate, billing is reliable, and the systems are observable, secure, and auditable. •Guide the team in designing and scaling systems that meter AI and agent usage in real time, enforce credit limits and entitlements, and integrate with pricing, payments, and financial systems. Qualifications: •Seasoned user of AI development tools yourself, with hands-on fluency in AI-assisted coding and agentic coding harnesses, and a track record of leading engineering teams that build with these tools day to day and are measurably more effective as a result. •An empowerment style of management; you lead through outcomes and trust, not by assigning tasks. •Strong product aptitude; can challenge product framing, translate business and pricing needs into technical solutions, and make effective roadmap tradeoffs. •In-depth knowledge of software architecture, distributed systems, APIs, and cloud native development. •A track record of growing engineers and creating high-performing teams. •Strategic thinker; able to shape product direction, technical direction, and team scope, not just execute on what's handed down. •Entrepreneurial mindset with the ability to thrive in a fast-moving scale-up environment. •Operational familiarity with monetizing AI or agentic products, including token or usage metering and cost attribution. Compensation: •$199,000 - $248,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!