Senior Technical Product Manager — Document Intelligence

The role

You will own the document intelligence platform, focusing on the technical tooling that converts unstructured documents into structured data. You will manage the document intelligence pipeline, product strategy, and non-functional requirements like accuracy and latency.

What you will do

• Own the document intelligence pipeline for ingesting, parsing, extracting, classifying, and summarizing documents.
• Own product strategy for the document intelligence platform and the tooling roadmap.
• Manage document storage, indexing, and retrieval for agentic flows.
• Manage non-functional requirements including accuracy, throughput, latency, cost, reliability, scalability, and observability.
• Own the creation and running of evals to measure extraction, classification, and summarization quality.
• Make decisions on models, extraction techniques, and build-vs-buy strategies.
• Partner with engineering managers, tech leads, agent teams, and the Integrations team.

Required qualifications

• 4+ years in product management
• 2+ years on technical/platform/data products (APIs, infrastructure, data pipelines, ML systems, or developer tools)
• Strong grounding in document or data processing: extraction, classification, parsing/OCR, summarization, or other intelligent-document-processing / NLP techniques
• Grasp of LLM-based approaches
• Background in distributed systems, data infrastructure, or pipelines
• Experience creating and running evals or quality-measurement methods for AI/ML or data systems at scale
• Fluency in model and tooling operations: model/technique selection, build-vs-buy, cost/performance/accuracy trade-offs
• Ability to write technical specs for engineers and prototype with code to validate hypotheses

Nice to have

• Former software engineer, ML engineer, or data scientist who moved into product
• Hands-on experience with document AI / IDP, OCR, NLP, or unstructured-data systems specifically
• A public point of view on AI or document intelligence — writing, talks, OSS — or the appetite to build one
• Experience in audit, accounting, or financial services

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 an in-house chef
• NS business card for commuting
• Structured onboarding programme
• Access to continuous learning and development initiatives
• Access to OpenUp mental health and wellness platform

Before you apply

• Recruiter screen
• Hiring Manager interview
• Assessment interview
• Final interview with Engineering leadership

About the company

DataSnipper builds AI solutions that empower audit and finance professionals by making evidence easier to trace and verify. The company is a unicorn scale-up in the Netherlands with a global impact.