# Engineering Manager, Billing & Monetization at DataSnipper

- Company: DataSnipper
- What the company does: Trusted by all top 100 accounting firms, DataSnipper's AI agents handle audit and finance testing while your team stays in control. Book a demo today. Backed by Index and Insight.
- Company website: https://www.datasnipper.com/
- Type: Startups
- Level: Senior
- Location: New York
- Work setup: Remote
- Pay: $199K to $248K base salary per year (USD)
- Posted: 2026-09-11
- Apply by: 2026-10-26
- Apply: https://jobs.ashbyhq.com/datasnipper/df4fef6d-2324-479d-b07b-c7f4182b20e1
- Page: https://www.1752.vc/careers/jobs/datasnipper-engineering-manager-billing-and-monetization/

## About the role

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.

## What they're looking for

- 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
- 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
- Experience building billing, metering, payments, or monetization systems, ideally involving usage-based or credit-based pricing at scale
- 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

Tags: Engineering