Posted 2 weeks ago

Engineering Manager (Billing & Monetization)

DataSnipper
NL, Netherlands 🇳🇱
  • Onsite
  • Full Time
  • Azure
  • Python

Job description

  • Lead through outcomes, not tasks. Set clear goals and trust the team to find the how
  • Make the team measurably better. Raise the bar, grow engineers into bigger problems, and address performance directly
  • Own the technical direction of the full customer lifecycle platform, and stay close enough to the code to make the hard calls credibly
  • Build systems where correctness is non-negotiable: accurate metering, enforced entitlements, reliable billing, all observable, secure and auditable
  • Treat onboarding as a product. Measure activation and time-to-value, and remove friction with Product and Design
  • Continuously improve on the admin experience to delight and empower our internal users
  • Turn commercial strategy into software. Partner with Product, Finance, Sales and Customer Success to shape pricing, packaging and licensing models
  • Set the bar for AI-assisted engineering. Not just shipping faster, but taking on harder problems, and shaping how DataSnipper engineering uses AI
  • Grow the scope. Expand ownership and stand up new teams as the area grows
  • Onboarding & offboarding: sign-up, trials, tenant and workspace provisioning, and the first-run experience. Getting a new firm from contract to value, fast
  • Licensing & entitlements: seats, plans, feature access and limits across the Excel add-in and Alwin, for self-serve users and global enterprise contracts alike
  • Metering & billing: real-time usage and credit consumption for our agentic products, through to invoicing, payments and revenue reporting
  • 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