Engineering Manager, Excel Agents

The role

You will lead an engineering team building AI-powered agents that automate assurance workflows. You will own the technical direction of the Excel Agent platform and partner with Product and Design to shape the roadmap.

What you will do

• Lead an engineering team through outcomes and set clear goals
• Raise the engineering bar and address performance issues
• Drive a step change in what the team can do with AI
• Lead the team building AI-powered agents for assurance workflows
• Own the technical direction and architecture of the Excel Agent platform
• Guide the team in designing and scaling agentic systems
• Partner with Product, Design, and other Engineering teams
• Make architectural and technical calls and stay close to the code
• Lead the adoption of AI-assisted engineering practices
• Foster a culture of experimentation, learning, documentation, and operational excellence

Required qualifications

• 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
• Experience building AI-powered products or platforms
• An empowerment style of management
• Strong product aptitude
• 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
• Entrepreneurial mindset

Nice to have

• 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

Benefits

• Equity (Stock Appreciation Rights)
• Pension plan with a 6% contribution on top of your base salary
• 28 vacation days per year (full-time)
• Hybrid work model with at least 3 days onsite in Amsterdam
• Daily, freshly prepared lunches by our in-house chef
• NS business card for easy commuting to the office if applicable
• Access to continuous learning and development initiatives
• Engage with a vibrant international team
• Company-wide events like DataSnipper GO
• Access to a mental health and wellness platform

Before you apply

• Recruitment Screen (30 minutes, online)
• Hiring Manager Interview (30 minutes, online)
• System design interview (60 minutes, online)
• Product Insight Discussion (60 minutes, on-site)
• Final Interview (30 minutes, online)

About the company

DataSnipper is a bootstrapped and profitable scaleup that builds AI solutions to empower audit and finance professionals. The platform is used by more than 600,000 professionals across 3,000+ organizations in 175 countries.