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DataSnipper

Excel-based AI-driven audit automation platform

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeAmsterdam, Netherlands

About the Job

Requirements

  • Strong technical aptitude and structured thinking to decompose customer workflows into agents and judge feasibility.
  • Expertise in audit and/or finance, or strong interest and ability to learn.
  • Technical literacy with data and documents to configure them correctly and diagnose issues.
  • Ability to work in front of customers under time pressure while maintaining their confidence when problems occur.
  • Comfort using AI tools such as Claude in the build and test loop.
  • Ability to communicate clearly in writing and verbally, including translating customer needs for engineering.
  • Bias toward shipping and iterating, and willingness to travel to customer sites when an engagement calls for it.

Responsibilities

  • Build credibility with senior stakeholders, including top-firm audit partners, engagement leaders, and methodology owners, to influence practice-wide AI adoption.
  • Design engagement programs that take a customer from zero to more than 20 agents embedded in finance workflows and driving measurable impact.
  • Run office hours, resolve remaining issues, and hand off agent know-how to the Customer Success Manager responsible for ongoing account health.
  • Build complex agents and solve prompting and accuracy challenges using real audit evidence.
  • Assess candidate agents' feasibility and decide what can be achieved within an engagement.
  • Produce robust agent configurations that anticipate edge cases and perform reliably in customer use.
  • Maintain a feedback loop between customers and product and engineering teams so issues and feature gaps reach the appropriate people quickly.
  • Describe gaps specifically enough to support prioritization, and work with product and engineering on ideation and prioritization.
  • Foster documentation and knowledge sharing across delivery, product, engineering, and go-to-market teams.
  • Help shape the professional services offering by turning early deployment learnings into repeatable frameworks, engagement models, and delivery standards as the FDE function grows.
  • Work directly with the product team to help design and develop new capabilities, bringing customer and deployment perspectives into early-stage product thinking.
  • Mentor incoming FDE team members by sharing domain knowledge, delivery judgment, and agent-building skills.

Desired Qualifications

  • Prior Forward Deployed Engineer, solutions engineering, or implementation experience at an applied AI or enterprise software company.
  • Experience with document processing and spreadsheet-heavy workflows.
  • Familiarity with agent design patterns, evaluations, or AI observability.
  • Hands-on experience building with large language models, including writing and refining prompts, evaluating accuracy, and debugging non-deterministic behavior.

About the Company

DataSnipper

Excel-based AI-driven audit automation platform

DataSnipper provides a subscription-based automation platform that runs inside Microsoft Excel to automate audit and finance tasks. Its Excel add-in uses AI and OCR to extract data from PDFs and documents, reconcile items, and create auditable links back to source documents; features include Table Snip, Document Matching, Financial Statement Check, and DocuMine for in-Excel document querying. DataSnipper serves large professional firms, Fortune 500s, and government agencies across 175 countries, with tiered seat-based pricing. Its goal is to cut manual data work, speed verification, and allow audit and finance professionals to focus on higher-value analysis while scaling to enterprise customers.

Company size
201-500
Company stage
Series B
Total funding
$100M
Headquarters
Amsterdam, Netherlands
Founded
2017

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