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.
The 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.
Define the correct answer, and the reasoning behind it, for the procedures our agents perform
Interpret ISAs and NV COS (IFRS for reporting matters; US GAAS and PCAOB where relevant) into requirements engineers can build against
Create realistic audit cases with AI tools, including documents, workpapers, exceptions and judgement calls, and review every one
Review agent output against those cases, and find misapplied standards, weak reasoning and conclusions that wouldn't pass partner review
Turn recurring errors into findings product and engineering can fix
Give a clear, evidenced view on whether a capability is ready for live engagements
Review methodology content from partners and our own teams, with versioning, approval and documented changes
Track changes in standards and inspection findings, and explain what they mean for the product
Teach product and engineering how audit work is actually done, including how firms differ
Work with customers and content partners when the work requires it
A professional qualification: RA, AA, CPA, CA, ACA, ACCA or equivalent
Experience as an Audit Manager: setting the approach, reviewing others' work, clearing review notes and defending conclusions
Recent experience across several clients and industries
Working knowledge of ISQM 1 and how firms document and review audit work
Regular use of AI tools, and a clear sense of how they fail
Precise writing: people without your training will build from what you write
Patience for detail: line-by-line review, and real time spent on a single conclusion
Nice to have:
You want to use your audit expertise on hard problems in AI: judgement, evidence and review
You'd rather change how audit work is done than automate how it's done today
You've built something yourself, such as a tool, prototype or workflow, to fix a slow process
You stay with open-ended problems until the answer holds up
Not product management. You shape what ships, but you don't own the roadmap
Not implementation or customer success
Not volume work. AI produces the volume; you decide what's right
Recruiter screen
Interview with an Audit Expert
Assessment interview
Final 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. 🚀
Own the product vision and roadmap for capacity valuation, fleet optimization, and revenue management tooling, leading product teams and turning data science and engineering capabilities into measurable business value.
Own and build Zip’s pricing and packaging function, setting portfolio strategy, research, governance, and launch processes while aligning cross-functional teams and advising executive leaders.
Lead product strategy for a foundation model of the physical world, owning its capability roadmap, release evaluations, training-data plan, and path from research advances to customer products.
Lead the Revenue Platform product group, setting strategy for transparent pricing, accurate invoicing, and cost visibility while developing product managers and enabling teams to launch and monetize products independently.
Lead enterprise AI products and transformation portfolios end to end, setting roadmaps and measurable outcomes while coordinating platform, architecture, governance, and change initiatives across business functions.
