Engineering Manager, Excel Agents

DataSnipper

Amsterdam

Hybrid

EUR 125,000 - 180,000

Full time

33 hours ago
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Benefits offered by this job

Equity (Stock Appreciation Rights)
Excellent salary package
Pension plan with 6% contribution
28 vacation days (full-time)
Hybrid work model | at least 3 days on
Freshly prepared lunches
NS business card
Learning & development opportunities
International team across five offices
DataSnipper GO events
OpenUp mental health platform
Friday drinks & social activities

Job summary

DataSnipper is seeking an Engineering Manager for the Excel Agents Team in Amsterdam. You will lead an AI-powered effort to embed agents in auditor workflows, guiding architectural decisions and delivering reliable, observable software.

You will mentor engineers, shape the roadmap with Product, Design and other teams, and drive outcomes in a fast-moving scale-up environment.

Qualifications

  • Minimum 3 years leading engineering teams with mentorship and goal setting.
  • Minimum 5 years as a software engineer with scalable, reliable systems.
  • Experience building AI-powered products or platforms with LLMs.
  • Empowerment-focused management style; lead through outcomes.
  • Strong product and architectural skills; shape roadmaps and tech choices.
  • Production reliability, observability, and maintainability focus.
  • Strategic thinker; able to shape product and team scope in a scale-up.
  • Entrepreneurial mindset for fast-moving environments.

Responsibilities

  • Lead engineering team through outcomes and clear goals.
  • Raise the engineering bar; mentor and address performance issues.
  • Drive AI initiatives; improve quality and scope of AI work.
  • Lead AI-powered agents automating assurance workflows.
  • Own technical direction and architecture of the Excel Agent platform.
  • Design and scale agentic systems integrating LLMs and workflows.
  • Collaborate with Product, Design and other Engineering teams to shape the roadmap.
  • Make architectural calls close to the code and maintainability.
  • Promote AI-assisted engineering practices across the org.
  • Shape team scope; expand ownership and stand up new teams as needed.
  • Foster experimentation, learning, documentation and excellence.

Skills

Team leadership
AI/LLMs in product
Software architecture
Cloud native
Mentorship
Product collaboration
Strategic thinking

Tools

Python
Azure AI
LLM integration

Job description

We are looking for a skilled and passionate Engineering Manager to join our Excel Agents Team in the Amsterdam office. Working in a bootstrapped and profitable scaleup, you'll have the unique opportunity to lead a team building the intelligence layer that automates the assurance lifecycle and brings AI directly into the workflows of auditors worldwide.

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.
  • Lead the adoption of AI-assisted engineering practices and contribute to how DataSnipper leverages AI across the broader engineering organization.
  • Help shape the team's scope as it evolves, including expanding ownership areas and standing up new teams when needed.
  • Foster a culture of experimentation, learning, documentation, and operational excellence.
What You Bring
  • At least 3 years of leading and managing engineering teams, driving performance, growth, and professional development through hands-on mentorship, feedback, and goal setting.
  • Minimum 5 years as a software engineer with a passion for building scalable, reliable, and high-quality software systems.
  • Track record of leading engineering teams that build with AI day to day, and making those teams measurably more effective as a result.
  • Experience building AI-powered products or platforms, ideally involving LLMs, agentic workflows, document processing, or automation systems.
  • An empowerment style of management; you lead through outcomes and trust, not by assigning tasks.
  • Strong product aptitude; can challenge product framing, translate customer needs into technical solutions, and make effective roadmap tradeoffs.
  • Strong understanding of software architecture, distributed systems, APIs, and cloud native development.
  • Experience operating systems in production with a focus on reliability, observability, and maintainability.
  • A track record of growing engineers and creating high-performing teams.
  • Strategic thinker; able to shape product direction, technical direction, and team scope, not just execute on what's handed down.
  • Entrepreneurial mindset with the ability to thrive in a fast-moving scale-up environment.
Preferred Qualifications
  • Experience building and deploying GenAI 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 scaleups.
  • Experience in fintech, audit technology, or document-intensive workflows.
  • Strong understanding of testing strategies and engineering quality practices.
What We Offer
  • Be part of one of the fastest-growing, profitable unicorn scale-ups in the Netherlands with a global impact
  • Equity (Stock Appreciation Rights) to share the company's success and growth
  • Excellent salary package, competitive for top tech talent
  • Pension plan with a 6% contribution on top of your base salary
  • 28 vacation days per year (full-time) to support your work-life balance
  • Hybrid work model with at least 3 days onsite in our dynamic Amsterdam office
  • Daily, freshly prepared lunches by our in-house chef to keep you energized
  • NS business card for easy commuting to the office
  • Access to continuous learning and development initiatives to grow your skills
  • Engage with a vibrant international team spread across five global offices
  • Company-wide events like DataSnipper GO where global teams come together
  • Access to OpenUp, a mental health and wellness platform supporting your wellbeing
  • Friday drinks and various social activities are designed for team bonding and fun
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