Manager, Mid Market Intelligence

Intuit

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Mountain View, CA
Salary
$244,000–$330,000 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k
This role $287k
$130k most similar roles pay here $351k

This role pays more than 92% of similar roles. Most pay $152,521–$235,750 — the shaded band above. At the midpoint, this role pays about $287k versus about $194k 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 222 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 199 roles with salary data.

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At a glance

TL;DR · Manager, Mid Market Intelligence

Manager 3, Mid Market Intelligence (AI-native ERP) joins the GBSG Mid-Market organization to lead high-performing engineering teams building an AI-native ERP. The role involves setting technical direction for product experiences by leveraging state-of-the-art AI and agentic technology, including LLM orchestration, multi-agent systems, tool use, retrieval, and evaluation frameworks. You will manage backend services, data, and AI systems while partnering with cross-functional teams to define roadmaps and manage complex dependencies in a zero-to-one environment. Key responsibilities include building scalable service foundations, establishing reliability and safety standards for production AI, and fostering an engineering culture focused on technical excellence. Required skills include experience with Java, Python, TypeScript, Kafka, Spark, and cloud platforms like AWS or GCP. The role focuses on solving business operations problems by creating intelligent automation and seamless AI-to-human collaboration workflows.

What you'll do

  • Build, mentor, and develop high-performing engineering teams across backend services, data, and AI systems.
  • Set technical direction for AI-native product experiences using LLM orchestration and multi-agent systems.
  • Design and deliver AI-driven workflows that integrate automated processes with human-in-the-loop collaboration.
  • Develop intelligent systems that proactively capture data signals to automate processes and improve customer decision-making.
  • Build scalable, secure, and performant service and data foundations for a rapidly evolving platform.
  • Establish reliability, safety, observability, and evaluation standards for production AI systems.
  • Drive operational excellence through incident management, performance metrics, and high-quality engineering practices.

What we're looking for

  • 8+ years of software engineering experience, including experience managing engineers or engineering teams.
  • Proven track record building and operating large-scale business applications, SaaS platforms, or distributed systems.
  • Applied AI fluency with hands-on experience shipping generative AI and agentic systems to production.
  • Experience leading teams that have rolled out agentic product experiences (preferred).
  • ERP, financials, or business operations domain experience (preferred).
  • Strong technical depth in architecture, API design, distributed systems, platform reliability, and breaking-change management.
  • Experience with modern service and data technologies including Java, Python, TypeScript, Kafka, Spark, and cloud platforms.
  • Strong communication skills to influence technical and non-technical leaders up to the executive level.

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