Forward Deployed Engineer

Why DataSnipper?

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 ongoing account health
• Agent Build & Quality
• Build the more complex agents yourself, solving prompting and accuracy challenges against real audit evidence
• Assess the feasibility 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 role in shaping DataSnipper's professional services offering, translating early deployment learnings into repeatable frameworks, engagement models, and delivery standards as the FDE function grows
• Dedicate part of your time working directly with the product team to help design and develop new product capabilities, bringing the customer and deployment perspective into early-stage product thinking
• Mentor incoming FDE team members as the function scales, sharing domain knowledge, delivery instincts, and agent-building craft

Must-Have

• Strong technical aptitude and structured thinking, with the judgment to decompose a customer workflow into agents and decide quickly what is feasible and what is not
• Domain expertise in audit and/or finance or strong interest w/ ability to learn
• Technical literacy with data and documents, enough to configure them correctly and reason about what is going wrong
• The ability to do this in front of customers, under time pressure, without losing their confidence when something breaks
• Comfortable using a variety of AI tools like Claude in the build and test loop to move quickly
• Excellent written and verbal communication, including the ability to make a customer need legible to engineering
• Bias toward shipping and iterating rather than perfecting in isolation, and willingness to travel to customer sites when an engagement calls for it
• Nice-to-Have
• 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, evals, or AI observability
• Hands-on experience building with LLMs in practice: writing and refining prompts, evaluating accuracy, and debugging non-deterministic behavior

What We Expect

What we offer