Forward Deployed Engineer

Intuit

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
Mountain View, CA
Salary
$202,500–$274,000 / yr
Posted
95 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $185k
This role $238k
$127k $290k
below market most similar roles pay here above market

This role pays more than 87% of similar roles. Most pay $147,182–$222,500 — the blue band above. At the midpoint, this role pays about $238k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 255 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 236 roles with salary data.

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At a glance

TL;DR · Forward Deployed Engineer

The Forward Deployed Engineer joins the Engineering team to bridge the gap between core product development and specific customer needs within the enterprise finance space. This role involves building proof-of-value systems during the pre-sale phase and deploying production-ready AI Agents post-sale to automate complex accounting processes. You will perform deep technical troubleshooting, write SQL for integrations, and review Python code to manage data flows and API-driven workflows. Key technologies include LangChain, LangGraph, MCP servers, RAG, vector stores, and LLMs from OpenAI, Gemini, and Anthropic. You will also utilize REST APIs, GraphQL, and webhooks. The role solves the technical challenge of integrating agentic AI into real-world general ledgers, helping finance teams strengthen internal controls and remove manual work from their daily operations.

What does a Forward Deployed Engineer earn?

Median $219575 from 46 postings across 19 companies.

See salary data

What you'll do

  • Build working proof-of-value prototypes using prospects' real data and systems to win new deals.
  • Lead technical evaluations including architecture reviews, security compliance, and integration feasibility for IT teams.
  • Architect and deploy customer-specific AI Agent configurations to automate complex accounting processes in production.
  • Perform deep technical troubleshooting by reviewing Python code, writing SQL for integrations, and diagnosing API-driven workflows.
  • Serve as the primary technical point of contact for enterprise finance leaders during implementation and expansion.
  • Translate customer feedback and integration requirements into structured signals for the Core Engineering roadmap.
  • Create implementation guides and reusable assets to standardize deployment playbooks across the organization.
  • Travel to customer sites to lead hands-on deployment, training, and adoption workshops.

What we're looking for

  • 5 to experience in Forward Deployed Engineering, Solutions Engineering, Sales Engineering, technical consulting, or a comparable customer-embedded engineering role.
  • Deep experience with Agentic AI including LangChain, LangGraph, MCP servers, multi-agent systems, RAG, vector stores, and hybrid retrieval.
  • Experience with LLMs and tooling such as OpenAI, Gemini, Anthropic, GitHub Copilot, Gemini Code Assist, and prompt engineering.
  • Deep experience with REST APIs, GraphQL, webhooks, SQL, and enterprise integrations.
  • Strong technical fluency to collaborate with Product Managers and Engineers as a peer.
  • Track record of managing multiple technical deployments simultaneously under delivery pressure.
  • Ability to lead technical troubleshooting calls with customers and internal IT teams.
  • Background in high-growth SaaS, applied AI, or fintech/ERP/accounting-adjacent domains (preferred).
  • Domain experience in construction, nonprofit, manufacturing, wealth management, healthcare, franchise, or field services (preferred).
  • Prior experience embedded at a customer site for a multi-month deployment (preferred).

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