DataSnipper
Audit and Finance
EngineeringManager
Neural analysis suggests this role is
optimal for Senior candidates.
“Engineering Manager at DataSnipper. Skills: Engineering management, AI, Product aptitude. Lead engineering team through outcomes. Raise engineering bar”
What You'll Achieve.
Make the team measurably better; Expand what the team can credibly own
Industry & Context.
What They're Looking For.
Must Have
At least 3 years of leading and managing engineering teams, Minimum 5 years as a software engineer, Track record of leading engineering teams that build with AI day-to-day, An empowerment style of management, product aptitude, A track record of growing engineers, Strategic thinker, Background that combines several of: API platforms, third-party integrations, SLA ownership, developer tools, or platform/infrastructure engineering, Entrepreneurial mindset
Nice to Have
Knowledge of Claude Code internally
What You'll Do.
Lead engineering team through outcomes
Raise engineering bar
Address performance issues
Drive step-change in team's AI capabilities
Lead team in building agentic products
Own engineering choices for agents
Make architectural and technical calls
Translate strategy into roadmap
How You'll Work.
Team & Collaboration
Partner with product; Partner with design; Partner with senior leadership
Full Job Description
We are looking for a skilled and passionate Engineering Manager to join our Platform Team in the Amsterdam office. Working in a bootstrapped and profitable scale-up, you’ll have the unique opportunity to drive technical innovation at scale while shaping a team at the forefront of transforming audit and finance. Why DataSnipper? Audit and finance are still massively manual — and we’re changing that. DataSnipper is a $1B, bootstrapped unicorn with 600,000+ users across 180+ countries, already embedded in the daily workflows of top audit and accounting firms. Now, we’re taking things further with our Excel Agent — bringing AI directly into where the work actually happens. Unlike generic AI tools, we don’t sit on the sidelines. Our AI operates inside Excel, with access to real documents and audit evidence — meaning it doesn’t just generate answers, it does the work, with full traceability. We’re not just applying AI — we’re redefining how audit gets done. If you want to build something category-defining at scale, this is the place. What You Will Do: - Lead an engineering team through outcomes, not tasks — set clear goals with the team and trust them to figure out how - Make the team measurably better — raise the engineering bar, grow engineers into bigger problems, and address performance issues directly when they arise - Drive a step-change in what the team can do with AI — not just shipping faster, but tackling harder problems, raising quality, and expanding what the team can credibly own - Lead the team in building agentic products — own the engineering choices that make agents reliable, observable, and useful in real customer workflows - Bring strong product and technical aptitude — challenge product framing as confidently as you challenge architecture - Make the architectural and technical calls that shape the team's systems, and stay close enough to the code to do so credibly - Help shape the team's scope as it evolves, including standing up new teams if needed -
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