Engineering Manager

Who you are

• 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
• Experience building billing, licensing, entitlement or onboarding systems at scale, ideally usage- or credit-based
• Strong fundamentals in software architecture, distributed systems, APIs and cloud-native development
• Experience running production systems where financial correctness matters
• Strong product aptitude: you challenge framing, make roadmap trade-offs, and care about activation and conversion as much as uptime
• Hands-on fluency with AI coding tools and agentic harnesses, and a team that is measurably better for using them
• A strategic, entrepreneurial mindset: you shape direction, not just execute it
• 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
• Financial correctness: idempotency, reconciliation, auditability, revenue recognition
• Python, Azure and observability tooling
• Scale-up experience, ideally in fintech or audit tech

What the job involves

• 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

The application process

• Recruiter Screen (30 minutes, online)
• Hiring Manager Interview (30 minutes, online)
• System Design Discussion (1 hour, on-site)
• Product Insight Conversation (45 min, online)
• Final Interview (30 minutes, online)