About the job
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.
Responsibilities
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.
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.
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.
Travel to customer sites as needed (up to 70%) for pre-sale technical evaluation, hands-on deployment, training, and adoption workshops.
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 with Product Management on learnings from onsite discovery sessions to design workflows centered on AI Agent deployment and business outcomes.
Build the playbook: create implementation guides, expansion frameworks, and reusable assets so every deployment makes the next one faster.
Qualifications
Minimum
5+ years in Forward Deployed Engineering, Solutions Engineering, Sales Engineering, technical consulting, or a comparable hands-on, customer-embedded engineering role (scope and level matched to experience — see Levels & Compensation below).
Deep experience with REST APIs, GraphQL, webhooks, SQL, and enterprise integrations.
Strong technical fluency and the ability to collaborate deeply with Product Managers and Engineers as a peer, not a hand-off.
A track record of managing multiple technical deployments simultaneously under delivery pressure.
Comfort leading technical troubleshooting calls with customers and internal IT teams.
Comfortable operating on both sides of the signature — building a credible proof-of-value under sales-cycle time pressure, and running that same system reliably in production afterward.
You default to automation — you use AI and modern tooling to move faster, document better, and scale your own impact.
Demonstrated ability to translate ambiguity into executable requirements, and to communicate insights clearly to both engineers and executives.
Strong commercial awareness, stakeholder management, and the ability to operate effectively under delivery and revenue pressure.
Preferred
Background in high-growth SaaS, applied AI, or fintech/ERP/accounting-adjacent domains.
Domain experience in one of our priority verticals — construction (job costing, WIP, retainage), nonprofit (fund accounting, grant and donor compliance), manufacturing (inventory, cost accounting, production workflows), wealth management (client billing, compliance/regulatory reporting, investment accounting), health care (revenue cycle, compliance-heavy financial operations), franchise (zee governance, zor performance), or field services (job/work-order costing, scheduling-linked billing).
Non-traditional paths are a plus: veterans, former management consultants, competitive programmers, and PhDs have historically made excellent FDEs.
Prior experience embedded at a customer site for a multi-month deployment (implementation consulting, forward-deployed, or field engineering background).