Engineering Manager (Billing & Monetization)

Datasnipper; Netherlands; On-site; EUR 120,000 - 180,000; Full time

Job summary

DataSnipper is seeking a strategic, entrepreneurial engineering leader to own the technical direction of the full customer lifecycle platform. You will stay hands-on enough to make hard calls, raise the bar for engineering, and shape pricing, licensing, and onboarding with cross-functional partners.

You will lead teams, drive AI-assisted engineering, and expand ownership as the area grows, including onboarding/offboarding, metering, and billing across the Excel add-in and related products.

Qualifications

• 3+ years leading engineering teams, on top of 5+ years as a software engineer.

Responsibilities

• Own the technical direction of the full customer lifecycle platform, and stay close enough to the code to make the hard calls credibly.

Skills

Engineering leadership

Distributed systems

Software architecture

Cloud-native development

APIs

Product mindset

AI tooling

Billing systems

Stripe integration

Azure

Python

Tools

Stripe

Azure

Observability tooling

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 it3+ years leading engineering teams, on top of 5+ years as a software engineerAn empowerment style of leadership and a track record of building high-performing teamsHands-on fluency with AI coding tools and agentic harnesses, and a team that is measurably better for using themStrong fundamentals in software architecture, distributed systems, APIs and cloud-native developmentStrong product aptitude: you challenge framing, make roadmap trade-offs, and care about activation and conversion as much as uptimeExperience building billing, licensing, entitlement or onboarding systems at scale, ideally usage- or credit-basedExperience running production systems where financial correctness mattersUsage-, metered- or credit-based billing in production, including AI token metering and cost attributionBilling and payment platforms (e.g. Stripe), CRM and ERP integrationsIdentity and provisioning: SSO, SCIM, multi-tenant account modelsProduct-led growth: self-serve sign-up, trials, in-product upgradesPython, Azure and observability toolingFinancial correctness: idempotency, reconciliation, auditability, revenue recognitionScale-up experience, ideally in fintech or audit tech