Audit Methodology Lead
- Type
- Job
- Organization
- Datasnipper
- Location
- Amsterdam
- Deadline
- Rolling or not stated
- Who can apply
- On-site in Amsterdam
- Posted
- 3 November 2026
- Skills mentioned
- Excel
About this Opportunity
We build AI agents that perform audit procedures for audit firms. We need an experienced auditor to decide what correct output from those agents looks like, and whether our agents meet that bar.You'll join one of our product groups as its audit expert. You'll write the criteria and reference cases our agents are tested against, review agent output the way you'd review a file, and tell the team plainly when something isn't ready for a live engagement. You'll use AI to create realistic test material, and you'll review all of it yourself.About DataSnipperThe hardest AI problems aren't about getting an answer fast. They're about getting one people can trust.We believe trust is essential to how society works. Every day, we rely on information that's been independently verified, from financial statements to the products we buy, to the sustainability claims companies make. Behind that trust are audit and finance professionals who examine evidence, verify information and hold organizations accountable.At DataSnipper, we build AI solutions that empower those professionals. By making evidence easier to trace and verify, we help them focus on the judgment and expertise that make their work so important.For our product and engineering team, this is where things get exciting. In audit, a plausible answer isn't good enough. Every output has to be explainable and traceable back to its source. We've just launched a brand new agentic platform, Alwin by DataSnipper. AI agents running in the cloud across hundreds of documents at once, reasoning across PDF, Word and Excel, with a full audit trail behind every step. There are lots of greenfield problems ahead, and real room to shape what we build and how we build it.And we build at scale. More than 600,000 professionals across 3,000+ organizations in 175 countries rely on DataSnipper, including Fortune 500 companies, government agencies and all Big Four audit firms. In 2025 alone, the DataSnipper platform delivered more than $1.4 billion in productivity savings to is customers. Backed by a $100 million Series B led by Index Ventures, at a $1 billion valuation, and as proud members of 1% for the Planet, we care about how we grow, not just how fast.If you want to build AI that professionals trust with work that really matters, this is your chance to help shape the future of audit and finance and do the best work of your career along the way. What you'll ownDefine the correct answer, and the reasoning behind it, for the procedures our agents performInterpret ISAs and NV COS (IFRS for reporting matters; US GAAS and PCAOB where relevant) into requirements engineers can build againstCreate realistic audit cases with AI tools, including documents, workpapers, exceptions and judgement calls, and review every oneReview agent output against those cases, and find misapplied standards, weak reasoning and conclusions that wouldn't pass partner reviewTurn recurring errors into findings product and engineering can fixGive a clear, evidenced view on whether a capability is ready for live engagementsReview methodology content from partners and our own teams, with versioning, approval and documented changesTrack changes in standards and inspection findings, and explain what they mean for the productTeach product and engineering how audit work is actually done, including how firms differWork with customers and content partners when the work requires itWhat you'll bringA professional qualification: RA, AA, CPA, CA, ACA, ACCA or equivalentExperience as an Audit Manager: setting the approach, reviewing others' work, clearing review notes and defending conclusionsRecent experience across several clients and industriesWorking knowledge of ISQM 1 and how firms document and review audit workRegular use of AI tools, and a clear sense of how they failPrecise writing: people without your training will build from what you writePatience for detail: line-by-line review, and real time spent on a single conclusionNice to have: You want to use your audit expertise on hard problems in AI: judgement, evidence and reviewYou'd rather change how audit work is done than automate how it's done todayYou've built something yourself, such as a tool, prototype or workflow, to fix a slow processYou stay with open-ended problems until the answer holds upWhat this role is notNot product management. You shape what ships, but you don't own the roadmapNot implementation or customer successNot volume work. AI produces the volume; you decide what's rightRecruitment stepsRecruiter screenInterview with an Audit ExpertAssessment interviewFinal conversations with the people you would work alongside At DataSnipper, we believe great ideas come from different perspectives, experiences, and backgrounds. We are committed to building an inclusive workplace and providing every candidate with a fair and equitable hiring experience.Our hiring decisions are merit-based and grounded in the skills, experience, potential, and capabilities relevant to the role.We welcome applicants regardless of age, race, ethnicity, nationality, gender, gender identity or expression, sexual orientation, religion, disability, or any other characteristic that makes you, you.What matters to us is what you can bring to the role, the team, and DataSnipper. 🚀Find more English Speaking Jobs in Netherlands on Arbeitnow
Documents you may need
- Updated CV / Resume
- Cover Letter (tailored to this role)
- Bank / Financial Statement
How to apply
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- Read the full description and confirm you meet the requirements.
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- Submit your application through the official portal.
- Follow up within 1–2 weeks if you do not hear back.