Manager , Forward Deployed Engineering Team; AI

Forward Deployed Engineers (FDEs) are how Intuit Enterprise Suite turns “AI pilot” into “AI in the general ledger” embedded with our largest mid-market and enterprise finance customers, shipping production automation instead of demos. As the Manager 3 (M3) leading a Forward Deployed Engineering pod, you own the outcomes of that team: the technical direction of its engagements, the quality of what it ships, the health of its customer relationships, and the growth of the engineers on it.

This is a player-coach leadership role. You'll still be technical enough to unblock your team on a production incident or a stalled integration, but your primary job is building a pod that can carry multiple concurrent, high-stakes deployments without you being the bottleneck and being the executive-level technical face of your accounts when the moment calls for it.

• Hire, coach, and manage a team of Forward Deployed Engineers; set the technical bar for the group and own their career growth and performance.

• Own technical direction, customer delivery outcomes, engineering quality, and prioritization across every active engagement in your pod.

• Decide how incoming requests get staffed including whether a given ask belongs in Sales, Platform, or FDE and balance pod capacity against the deployment pipeline.

• Run (or drive) the pod's prioritization and requirements review cadence so concurrent engagements are sequenced against real capacity, not wishful thinking.

• Serve as the executive-level escalation point for your pod's deployments, architecture, integration, and data-flow issues that need a manager's judgment or authority to unblock.

• Engage directly with CFOs, Controllers, and IT leaders on your team's most strategic accounts, particularly pre-sale proof-of-value, technical evaluations, and renewal/expansion conversations.

• Own SLA accountability for your pod's response and resolution commitments; make sure issues are documented and escalated to Core Engineering with complete context.

• Guide your engineers on turning agentic AI capabilities into customer‑specific production deployments that automate accounting processes and strengthen internal controls.

• Represent FDE with Sales, Account Management, and Customer Success leadership on deal risk, renewal health, and expansion pipeline for your pod's accounts. You don't carry a number, but you're accountable for de‑risking it.

• Partner with Core Engineering and Product leadership so field learnings sharpen the roadmap FDE work should never duplicate or bypass the core platform.

• Report pod health, SLA performance, and delivery risk to engineering and go‑to‑market leadership.

• Build and maintain the implementation playbook guides, expansion frameworks, and reusable assets so every deployment is faster than the last.

• Set the hiring bar and run the interview loop for the FDE ladder in your org: technical craft, real customer exposure, and a track record of shipping under ambiguity.

• 8+ years in Forward Deployed Engineering, Solutions Engineering, Sales Engineering, technical consulting, or a comparable customer‑embedded engineering role.

• 2+ years directly managing engineers, ideally in a customer‑facing, field, or forward‑deployed capacity.

• Demonstrated experience leading positive change, empowering people, cultivating product technology visions and innovative solutions, and fostering effective FDE teams.

• Deep experience with REST APIs, GraphQL, webhooks, SQL, and enterprise integrations.

• Deep experience with Agentic AI:
  Lang Chain, Lang Graph, MCP servers, multi‑agent, RAG, vector stores, hybrid retrieval

• Experience with LLMs & tooling:
  OpenAI, Gemini,…