Forward Deployed Engineer

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Intuit Enterprise Suite is how the world s fastest-growing mid-market and enterprise finance teams run their books, close their quarter, and put AI agents to work on real accounting operations — not demos. Forward Deployed Engineers (FDEs) are the team that makes that real: embedded with our customers, shipping production automation, and turning “AI pilot” into “AI in the general ledger.”

This isn t a traditional sales engineering role, and it isn t a traditional product engineering role either. FDEs report into Engineering, work shoulder-to-shoulder with Sales and Account Management on the deals and renewals that matter most, and own the last mile between what Core Engineering ships and what a specific customer actually runs. You ll sit at the intersection of engineering, applied AI, and enterprise finance, and you ll be judged on one thing: did the customer s business measurably change because you were in the room.

Pre-sale: build the proof that wins the deal

• Get hands-on with prospects before there s a contract: build a working proof-of-value directly in (or against a realistic replica of) the prospect s own data and systems — real integrations and real output, not a scripted demo.
• Partner with Account Executives from first technical touch: run discovery with the prospect s finance and IT teams to understand their chart of accounts, systems, and process gaps well enough to build against them.
• Lead the technical evaluation: architecture and security/compliance reviews, integration feasibility, and technical RFP responses with the prospect s IT and controllership teams.
• Build the technical narrative and ROI case alongside Sales, and present it directly to economic buyers — CFOs and Controllers — as part of the deal cycle. Your proof-of-value is very often what gets the deal signed.
• Flag technical or data-readiness risk early, so Sales scopes and prices the deal accurately and nothing you built pre-sale becomes a surprise post-signature.

Post-sale: architect and ship in customer specific production

• Architect and deploy customer-specific configurations of AI Agents that automate complex accounting processes — strengthening internal controls, closing books faster, and removing manual work from real customer environments.
• Perform deep technical troubleshooting: review and edit Python, write SQL for integrations, and diagnose configuration issues across customer systems.
• Serve as the functional and technical escalation point for issues involving integrations, data flows, and automation logic — including reviewing and optimizing SQL-based validations and API-driven workflows.
• Maintain SLAs for response and resolution; document issues comprehensively and elevate to Engineering with complete context.

Post-sale: own the customer relationship and drive expansion

• Lead high-impact transformation engagements with enterprise finance teams — diagnosing operational bottlenecks and identifying where AI Agents create the most leverage.
• Act as the primary technical point of contact across implementations, engaging directly with CFOs, Controllers, and accounting leaders.
• Guide and train customer teams through workflow redesign, change management, and the value realization required to scale AI Agent adoption across their organization — and carry that same proof-of-value discipline into expansion and renewal conversations.
• Travel to customer sites as needed (up to 70%) for pre-sale technical evaluation, hands-on deployment, training, and adoption workshops.

Ongoing: shape the product and the playbook

• Be the Voice of the Customer: surface technical feedback, integration requirements, and product gaps to Product and Core Engineering — as input to their roadmap, not a substitute for it.
• Partner…