ashby
Engineering Manager, Excel Agents
DataSnipper
Amsterdam, USA
Full-time
Manager · 3+ years experience
Discovered 1 weeks ago
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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 audits get 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 responsible for building AI-powered agents that automate assurance workflows, from risk assessment and evidence gathering to control testing and documentation generation.
- Own the technical direction and architecture of the Excel Agent platform, ensuring agents are reliable, observable, secure, and effective in real customer workflows.
- Guide the team in designing and scaling agentic systems that combine LLMs, document intelligence, business workflows, and human oversight.
- Partner closely with Product, Design, and other Engineering teams to shape the roadmap and translate customer needs into impactful AI experiences.
- Make the architectural and technical calls that shape the team's systems, and stay close enough to the code to do so credibly.
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