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DataSnipper

Excel-based AI-driven audit automation platform

Engineering Manager - Excel Agents

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeAmsterdam, Netherlands

About the Job

Requirements

  • At least 3 years of experience leading and managing engineering teams, driving performance, growth, and professional development through hands-on mentorship, feedback, and goal setting.
  • At least 5 years of experience as a software engineer building scalable, reliable, and high-quality software systems.
  • A track record of leading engineering teams that build with AI day to day and making those teams measurably more effective.
  • Experience building AI-powered products or platforms, ideally involving large language models, agentic workflows, document processing, or automation systems.
  • An empowerment-oriented management style, leading through outcomes and trust rather than task assignment.
  • Strong product aptitude, including challenging product framing, translating customer needs into technical solutions, and making effective roadmap tradeoffs.
  • Strong understanding of software architecture, distributed systems, application programming interfaces, and cloud-native development.
  • Experience operating production systems with a focus on reliability, observability, and maintainability.
  • A track record of growing engineers and creating high-performing teams.
  • Ability to shape product direction, technical direction, and team scope, not just execute assigned work.
  • An entrepreneurial mindset and ability to thrive in a fast-moving scale-up environment.

Responsibilities

  • Lead an engineering team through outcomes, set clear goals with the team, and trust the team to determine how to achieve them.
  • Improve the team measurably, raise the engineering bar, grow engineers into larger problems, and address performance issues directly when they arise.
  • Drive a step change in the team's use of AI to tackle harder problems, raise quality, and expand the work the team can own.
  • Lead the team building AI-powered agents that automate assurance workflows, including risk assessment, evidence gathering, 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 customer workflows.
  • Guide the design and scaling of agentic systems combining large language models, document intelligence, business workflows, and human oversight.
  • Partner with Product, Design, and other Engineering teams to shape the roadmap and translate customer needs into impactful AI experiences.
  • Make architectural and technical decisions shaping the team's systems and stay sufficiently close to the code to make those decisions credibly.
  • Lead adoption of AI-assisted engineering practices and contribute to the broader engineering organization's use of AI.
  • Help shape the team's scope as it evolves, including expanding ownership areas and establishing new teams when needed.
  • Foster a culture of experimentation, learning, documentation, and operational excellence.

Desired Qualifications

  • Experience building and deploying generative AI applications in production.
  • Experience with agentic systems, orchestration frameworks, or AI-powered workflow automation.
  • Experience with Python and modern backend development practices.
  • Familiarity with Azure AI services, document intelligence, and cloud infrastructure.
  • Experience with observability and monitoring tools.
  • Experience working in startups or scale-ups.
  • Experience in fintech, audit technology, or document-intensive workflows.
  • Strong understanding of testing strategies and engineering quality practices.

About the Company

DataSnipper

Excel-based AI-driven audit automation platform

DataSnipper provides a subscription-based automation platform that runs inside Microsoft Excel to automate audit and finance tasks. Its Excel add-in uses AI and OCR to extract data from PDFs and documents, reconcile items, and create auditable links back to source documents; features include Table Snip, Document Matching, Financial Statement Check, and DocuMine for in-Excel document querying. DataSnipper serves large professional firms, Fortune 500s, and government agencies across 175 countries, with tiered seat-based pricing. Its goal is to cut manual data work, speed verification, and allow audit and finance professionals to focus on higher-value analysis while scaling to enterprise customers.

Company size
201-500
Company stage
Series B
Total funding
$100M
Headquarters
Amsterdam, Netherlands
Founded
2017

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