Manager 3, AI Platform Engineering (Credit Karma)

Intuit

Quick summary

Work type
On-site
Location
Oakland, CA
Salary
$264,500–$357,500 / yr
Posted
5 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $217k
This role $311k
$168k most similar roles pay here $378k

This role pays more than 96% of similar roles. Most pay $188,687–$246,150 — the shaded band above. At the midpoint, this role pays about $311k versus about $217k 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 122 open roles on FindRole.

Listed pay typically runs $199,000–$269,250 across 112 roles with salary data.

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View all roles at Intuit

At a glance

TL;DR · Manager 3, AI Platform Engineering (Credit Karma)

Credit Karma Intuit seeks a Group Manager of AI Platform Engineering to lead the development and scaling of AI infrastructure and tooling within its high-impact platform organization. This visionary leader will oversee ML training, feature platforms, and GenAI tooling, shaping how AI is built and operationalized across Credit Karma’s revenue-generating initiatives. Responsibilities include setting technical strategies, ensuring platform reliability and cost efficiency, enabling GenAI development at scale, fostering engineering excellence, and partnering with cross-functional teams to drive adoption of new capabilities. The ideal candidate has over 10 years of engineering leadership experience, deep expertise in ML systems and feature stores, and a proven track record of building scalable engineering organizations. Strong business acumen and executive communication skills are essential for influencing stakeholders at the director and VP level.

What you'll do

  • Own the multi-year technical vision for ML training infrastructure and GenAI tooling.
  • Ensure platform reliability and cost efficiency across AI training and serving workloads.
  • Define and deliver foundational GenAI development tooling at scale.
  • Set engineering culture and standards, ensuring alignment with broader data infrastructure.
  • Act as primary platform partner to AI Science teams, translating velocity blockers into investments.
  • Influence executive decisions by connecting complex platform choices to business impact.
  • Build and maintain a high-performing organization across multiple technical teams.

What we're looking for

  • 10+ years of engineering leadership experience with at least 3–5 years in a manager-of-managers role.
  • Deep technical expertise in ML training systems, feature stores, and GenAI tooling.
  • Proven track record of building and scaling high-performing engineering teams.
  • Strong business acumen and executive communication skills to influence stakeholders.
  • Experience driving cross-functional alignment across data, product, and engineering organizations.
  • Demonstrated ability to own infrastructure costs, reliability, and SLAs at scale.
  • Visionary mindset with a track record of incubating and graduating emerging capabilities.

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