Forward Deployed Engineer (Audit experience required)

We are looking for a Forward Deployed AI Engineer to join the Team at DataSnipper. You will embed with our customers to build and refine the AI agents that automate their audit and finance workflows, taking them from zero to live in daily use and turning what you learn on the ground into the signal that shapes our product. You sit at the exact point where our agent platform meets real assurance work, directly reducing manual effort and accelerating audit outcomes. This is a hands-on, customer-facing role in a high-caliber team that moves fast and holds a high bar. You will design and build agents, debug their accuracy in front of a customer, make the feasibility calls, and then make sure engineering hears what you saw. The platform is still being shaped, so the role rewards people who are energized by building on something while making it better, not people who need fully stable tooling before they can deliver. Why DataSnipper? Audit and finance are still massively manual, and we're changing that. DataSnipper is a $1B, bootstrapped unicorn with 600,000+ users across 180+ countries, already embedded in the daily workflows of top audit and accounting firms. Now we're taking things further with our agent platform, bringing AI directly into where the work actually happens. Unlike generic AI tools, we don't sit on the sidelines. Our agents operate inside the customer's real wor [... source excerpt omitted ...] . We're redefining how audit gets done. If you want to build something category-defining at scale, and do it shoulder to shoulder with the firms using it, this is the place. What You Will Do Deployment & Delivery Build and earn the credibility with senior stakeholders like top-firm audit partners, engagement leaders, and methodology owners ****earning the credibility to influence how an entire practice adopts AI Design engagement programs that take a customer from zero to 20+ agents embedded directly into finance workflows and driving measurable impact Run office hours and resolve remaining issues, then hand off agent know-how cleanly to the Customer Success Manager who owns [... source excerpt omitted ...] easibility of candidate agents, and make the call on what is achievable within an engagement Produce robust agent configurations that anticipate edge cases and hold up under real customer use Feedback & Impact Operate a tight feedback loop between the customer and our product and engineering teams so issues and feature gaps reach the right people fast Surface gaps with enough specificity that they can be prioritized rather than lost and work closely with product and engineering on ideation and prioritization Foster documentation and knowledge sharing across delivery, product, engineering, and GTM teams Professional Services leadership & Product Influence Play a founding ro