Why This Job is Featured on The SaaS Jobs
Document Intelligence sits at the intersection of SaaS platform engineering and applied AI, where product differentiation increasingly comes from how reliably unstructured data can be turned into reusable signals. This role is notable because it focuses on building a shared, cloud native foundation for document ingestion, storage, and extraction that can power multiple product surfaces, rather than a single feature lane. That platform orientation is a common pattern in SaaS companies that have reached meaningful scale and need durable internal primitives.
For a long term SaaS engineering path, the work maps closely to the systems that keep subscription products dependable as usage grows: multi tenant service design, API contracts between teams, observability, and quality metrics tied to production outcomes. The emphasis on evaluation of extraction quality and traceability also reflects a broader SaaS trend toward measurable AI performance, not just model integration. Experience here transfers well to other data intensive SaaS domains where reliability and governance matter.
This position fits engineers who prefer hands on ownership of backend services and enjoy turning ambiguous, document heavy problems into clear platform capabilities. It will suit someone comfortable collaborating across product and agent teams, and motivated by raising engineering standards through architecture decisions, reviews, and operational discipline in a production environment.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
We are looking for a
Senior Software Engineer to join the Document Intelligence Team. Our vision is to become the
document knowledge platform for DataSnipper — a shared, cloud-native foundation where every document and everything we extract from it becomes a durable, reusable asset that powers our agents and other products.
This is a hands-on engineering role in a high-caliber team that moves fast and holds a high bar. You will design and implement the ingestion, processing, and extraction pipelines and the platform services that expose them, drive architectural decisions, and help shape the future of document intelligence at DataSnipper.
You will work closely with Product, Agent teams, and fellow engineers to deliver high-quality, production-ready solutions.
About 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 audit gets done. If you want to build something category-defining at scale, this is the place.
What You Will Do
Technical Delivery
- Design and implement the document intelligence platform delivering best-in-class accuracy, speed, and reliability
- Build and maintain the platform APIs and services that expose documents and their extracted intelligence as shared, reusable capabilities for multiple products and workflows
- Design and operate the cloud document store: a secure, managed store for every document we ingest plus everything we extract, with the metadata, retrieval patterns, and traceability that downstream intelligence requires
- Integrate with AI service providers to power document understanding at scale
- Build AI- and ML-powered extraction capabilities
- Define and enforce clean integration contracts between platform APIs and consuming teams
Architecture & Quality
- Architect services and systems using well-established design principles, anticipating future document-heavy use cases (large PDFs, mixed formats, high-volume batches)
- Raise the engineering bar through technical leadership, high-quality code reviews, and establishing best practices
- Build and use quality metrics; repeatable pipelines that score extraction quality on representative production documents to identify gaps and drive measurable improvements
- Implement security controls and compliance guarantees for document handling (retention, deletion, access controls, auditability, and regional requirements)
Collaboration & Impact
- Break down epics, align cross-team dependencies, and manage ambiguity for the team
- Design solutions with product partners, refine the team roadmap, and simplify technical approaches
- Foster a culture of documentation and knowledge sharing within the team and with business stakeholders
- Integrate AI tools into workflows, critically evaluate AI outputs, and contribute to team-level AI adoption
What You Will Bring
Must-Have
- 7+ years in software engineering, with strong proficiency in C# and/or Python and its ecosystem and tooling
- Experience building and operating data-intensive backend services in production on any cloud platform (we are on Azure)
- Experience with document processing, analysis, or storage technologies and pipelines
- Proficient with AI-assisted Engineering (we use Claude Code)
- Strong fundamentals in architecture and design of distributed systems
- Experience with testing strategies (unit, integration, E2E) and a quality-first mindset
- Excellent communication and collaboration skills
Nice-to-Have
- Experience building platform or shared-service capabilities consumed by multiple internal teams and external partners
- Experience with Azure services (AI Foundry, Container Apps, Service Bus, Blob storage, Content Understanding)
- Experience with observability tools (Grafana, OTel)
- Experience with LLM-based document understanding and evaluation
What We Expect
- Ownership: You own work end-to-end, anticipate issues, and ensure high-quality delivery without close supervision
- Growth Mindset: You encourage open feedback exchange and provide clear, balanced feedback that helps others grow
- Collaboration: You build strong cross-functional relationships and influence peers through expertise, data, and empathy
- Adaptability: You navigate ambiguity calmly, model positive behavior, and help peers adjust through clear communication
- Judgment: You exercise sound judgment in ambiguous situations, balance speed and accuracy, and adjust priorities proactively
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
- Parking and NS 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
