Engineering Manager, Excel Agents
Datasnipper
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Benefits offered by this job
Job summary
DataSnipper is seeking an Engineering Manager for the Excel Agents Team in Amsterdam. You will lead a high-impact group building AI-powered agents that automate assurance workflows and integrate AI into auditors' daily tools.
You will own technical direction, mentor engineers, and collaborate across Product, Design, and Engineering to drive the roadmap. Hybrid work in Amsterdam with strong growth opportunities.
Qualifications
- At least 3 years leading and mentoring engineering teams with measurable growth.
Responsibilities
- Lead an engineering team through outcomes, not tasks; set clear goals with the team and trust them to figure out how.
- Raise engineering bar, grow engineers into bigger problems, address performance issues directly.
- Drive a step change in what the team can do with AI; tackle harder problems, raise quality, expand ownership.
- Lead the team building AI-powered agents that automate assurance workflows from risk assessment to documentation.
- Own the technical direction and architecture of the Excel Agent platform for reliability and security.
- Guide design and scaling of agentic systems combining LLMs, document intelligence, workflows, and human oversight.
- Partner with Product, Design, and other teams to shape roadmap and translate needs into AI experiences.
- Make architectural calls and stay close to code to credibly steer systems.
- Lead adoption of AI-assisted engineering practices across DataSnipper.
Skills
Education
Tools
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.
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.
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.
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.
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.
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
At DataSnipper, we believe great ideas come from different perspectives, experiences, and backgrounds. We’re committed to building an inclusive workplace and providing a fair and equitable hiring experience for every candidate.
We welcome applicants regardless of age, race, ethnicity, nationality, gender, gender identity or expression, sexual orientation, religion, disability, or any other characteristic that makes you, you.
What matters to us is your potential, your experience, and what you can bring to the team!
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