Senior Technical PM, Document Intelligence Platform

Datasnipper; Netherlands; On-site; EUR 110,000 - 150,000; Full time

Job summary

DataSnipper is seeking a Technical Product Manager to own the document intelligence platform, shaping the ingestion, parsing, and extraction of unstructured documents into structured, queryable data. You’ll drive architecture and quality bars, collaborating with ML and backend teams to deliver scalable, reliable data foundations for agentic workflows.

You’ll translate customer and internal needs into APIs, workflows, and internal platform roadmaps, balancing accuracy, throughput, and cost.

Qualifications

• 4+ years in product management, with 2+ years on technical/platform/data products (APIs, infrastructure, data pipelines, ML systems, or developer tools).
• Hands-on evals or quality-measurement methods for AI/ML or data systems at scale.

Responsibilities

• Own the document intelligence pipeline and the tooling that ingests, parses, extracts, classifies, and summarizes unstructured documents.
• Define product strategy for the document intelligence platform and translate needs into requirements and a tooling roadmap.
• Oversee storage, indexing and retrieval of processed documents and derived data for fast, reliable agentic workflows.
• Own non-functional requirements: accuracy, throughput, latency, cost per document, reliability, observability.
• Lead evals to measure extraction, classification, and summarization quality at scale; collaborate with LLM Ops on eval infra.
• Coordinate with ML and backend engineers, drive architecture trade-offs (cost vs accuracy, coverage vs latency).
• Partner with Integrations to manage data ingress and results egress for agent teams.

Skills

Product management

Technical PM

Data pipelines

ML systems

System architecture

Tools

APIs

ML tooling

Job description

DataSnipper is seeking a Technical Product Manager to own the document intelligence platform, shaping the ingestion, parsing, and extraction of unstructured documents into structured, queryable data. You’ll drive architecture and quality bars, collaborating with ML and backend teams to deliver scalable, reliable data foundations for agentic workflows.

You’ll translate customer and internal needs into APIs, workflows, and internal platform roadmaps, balancing accuracy, throughput, and cost.