Head of Forward Deployed Engineering Pod

Intuit

Mountain View (CA)

On-site

USD 244,000 - 330,000

Full time

14 days+
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Job summary

Intuit is seeking a Manager 3 to lead a Forward Deployed Engineering pod within the Enterprise Suite, turning AI pilots into production deployments for large mid-market and enterprise customers. You will guide tech direction, ensure delivery quality, and own customer relationships at the executive level.

This player-coach role combines technical unblockers with building a scalable pod capable of multiple concurrent deployments, while presenting to CFOs and IT leaders when needed.

Qualifications

  • Proven experience with REST APIs, GraphQL, webhooks, SQL and enterprise integrations.
  • Hands-on with Agentic AI concepts (LangChain, LangGraph, multi-agent, RAG, vector stores).
  • Experience with LLM tooling (OpenAI, Gemini, Anthropic) and prompt engineering.
  • Strong technical fluency and ability to collaborate with Product Managers and Engineers as a peer.

Responsibilities

  • Hire, coach, and manage a team of Forward Deployed Engineers; set the technical bar and own career growth.
  • Own technical direction, customer delivery outcomes, engineering quality, and prioritization across engagements.
  • Decide staffing and balance pod capacity against deployment pipeline.
  • Lead prioritization and requirements reviews to sequence engagements by capacity.

Skills

REST APIs
GraphQL
Webhooks
SQL
Agentic AI
LLMs & tooling
Prompt engineering
Leadership
Cross-functional
Delivery under pressure

Tools

LangChain
LangGraph
MCP servers
Vector stores
OpenAI
Gemini
Anthropic
GitHub Copilot
Gemini Code Assist

Job description

Intuit is seeking a Manager 3 to lead a Forward Deployed Engineering pod within the Enterprise Suite, turning AI pilots into production deployments for large mid-market and enterprise customers. You will guide tech direction, ensure delivery quality, and own customer relationships at the executive level.

This player-coach role combines technical unblockers with building a scalable pod capable of multiple concurrent deployments, while presenting to CFOs and IT leaders when needed.

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