Engineering Manager (Billing & Monetization)

DataSnipper

Netherlands Posted October 23, 2026

Check how well your resume matches this job

Remote Full-time Mid level
Job Description

Join DataSnipper as an Engineering Manager for Billing & Monetization. In this role, you will lead a high-performing engineering team, own the technical direction of the customer lifecycle platform, and partner with various departments to shape pricing and licensing models. You will also focus on improving the onboarding experience and the admin experience for internal users. The ideal candidate has a strategic mindset, experience leading engineering teams, and a strong background in software architecture and cloud-native development.

  • Lead engineering teams to achieve clear goals and improve performance.
  • Own the technical direction of the customer lifecycle platform, ensuring accuracy and reliability.
  • Collaborate with cross-functional teams to shape pricing, packaging, and licensing models.
  • A strategic, entrepreneurial mindset: you shape direction, not just execute it
  • 3+ years leading engineering teams, on top of 5+ years as a software engineer
  • An empowerment style of leadership and a track record of building high-performing teams
  • Hands-on fluency with AI coding tools and agentic harnesses, and a team that is measurably better for using them
  • Strong fundamentals in software architecture, distributed systems, APIs and cloud-native development
  • Strong product aptitude: you challenge framing, make roadmap trade-offs, and care about activation and conversion as much as uptime
  • Experience building billing, licensing, entitlement or onboarding systems at scale, ideally usage- or credit-based
  • Experience running production systems where financial correctness matters
  • Usage-, metered- or credit-based billing in production, including AI token metering and cost attribution
  • Billing and payment platforms (e.g. Stripe), CRM and ERP integrations
  • Identity and provisioning: SSO, SCIM, multi-tenant account models
  • Product-led growth: self-serve sign-up, trials, in-product upgrades
  • Python, Azure and observability tooling
  • Financial correctness: idempotency, reconciliation, auditability, revenue recognition
  • Scale-up experience, ideally in fintech or audit tech
Required Skills
onboarding cloud-native collaboration cross-functional collaboration software development leadership agents distributed systems roadmapping CRM ERP SSO Python Azure reconciliations revenue recognition
How to apply

You apply on DataSnipper’s own careers site. No account needed.

Apply on company site
How well do you match?

Upload your resume and ARes scores it against this job in a few seconds. No account needed.

Your resume is read to calculate the match and then deleted. Nothing is saved.

Already have access? Sign in
About DataSnipper

See every open role at DataSnipper on ARes.

More Jobs at DataSnipper
Share This Job