Forward Deployed Engineer

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.

Where this role sits

FDEs report into Engineering, not Sales, but this is a field role spanning both sides of the signature.

Sales & Account Management: You're the technical face of Enterprise Suite — AEs pull you in pre-sale to build the proof that wins evaluations; Customer Success pulls you in post-sale for QBRs, renewals, and expansion. Deals run on proof, not promises. You won't carry a number, but expect to be in the room for the technical parts of both sale and renewal.

Core Engineering: You build on top of what Engineering ships — not a parallel path to the roadmap. Your job is the last-mile layer: wiring existing capabilities into one customer's data and workflows fast enough to prove value inside a live deal. In return, you feed Engineering structured signal on patterns across customers, sharpening the roadmap rather than duplicating or bypassing it.

Responsibilities

• Get hands-on with prospects before there's a contract — build a working proof-of-value in (or against a realistic replica of) their own data and systems, with real integrations and real output.
• Partner with Account Executives from first technical touch: run discovery with prospects' finance and IT teams, lead technical evaluations (architecture, security/compliance, integration feasibility, RFPs), and build the ROI case presented directly to CFOs and Controllers. Your proof-of-value often gets the deal signed. Flag technical or data-readiness risk early so Sales scopes deals accurately.
• 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. Candidates should have hands-on experience with agentic AI workflows (using, configuring, or building agents/tools)
• Perform deep technical troubleshooting (Python, SQL, integration diagnostics) and serve as the escalation point for integration, data, and automation issues. Maintain SLAs and document/escalate to Engineering with full context.
• Lead transformation engagements with enterprise finance teams as primary technical contact for CFOs, Controllers, and accounting leaders. Guide teams through workflow redesign and change management to scale adoption, carrying proof-of-value discipline into renewals and expansion. Travel to customer sites as needed (up to 70%).
• Be the Voice of the Customer — surfacing technical feedback and product gaps to Product and Engineering as roadmap input. Build implementation guides and reusable assets so each deployment makes the next one faster.

Qualifications

What you'll bring

Required

• 3+ 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.
• Deep experience with Agentic AI: LangChain, LangGraph, MCP servers, multi-agent, RAG, vector stores, hybrid retrieval
• Experience with LLMs & tooling: OpenAI, Gemini, Anthropic; GitHub Copilot, Gemini Code Assist; prompt engineering
• 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). You don't need more than one, but depth in any single vertical materially shortens ramp-up on real customer engagements.
• 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).

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:
New York $170,500 - $231,000

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