Engineering Technical Assistant Jobs in Rosedale, NY

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

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.