AI Engineering Manager, Finance

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$168,000–$264,500 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $221k
This role $216k
$156k $276k
below market most similar roles pay here above market

This role pays more than 52% of similar roles. Most pay $180,837–$261,750 — the blue band above. At the midpoint, this role pays about $216k versus about $221k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1463 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1096 roles with salary data.

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At a glance

TL;DR · AI Engineering Manager, Finance

The AI Engineering Manager - Finance will lead a small team of AI engineers within the Finance AI team. This role involves partnering with the CFO organization, including FP&A, Accounting, Treasury, Tax, and Procurement, to identify high-value problems and develop AI applications, agents, and automation. Key responsibilities include setting technical direction, reviewing designs and code, and managing retrieval pipelines and model integrations. The manager will perform end-to-end technical evaluations of external AI vendors, conducting structured POCs and bake-offs to make build-vs-buy recommendations. Required skills include over 10 years of software or AI engineering experience, including at least 2 years of leadership. Candidates must demonstrate fluency in data and system architecture within data-rich, regulated domains to build reusable components and standards for finance operations.

What you'll do

  • Partner with the CFO organization to identify high-value problems and convert them into AI applications and automation.
  • Set the technical direction and quality standards for building and shipping AI solutions within the Finance department.
  • Review designs and code to make critical technical decisions on agents, retrieval pipelines, and model integrations.
  • Lead the end-to-end technical evaluation of external AI vendors, including selection criteria, POCs, and build-vs-buy recommendations.
  • Scale team output by establishing reusable components, patterns, and standards for rapid AI adoption across Finance.
  • Direct a fleet of agents to review and contribute code while onboarding new tools and technologies.

What we're looking for

  • Experience in software or AI engineering.
  • 2+ years of leadership experience.
  • Experience leading engineering teams that ship production software as a manager, tech lead, or player-coach.
  • Hands-on depth building AI systems and fluency in supporting data and system architecture.
  • Track record of delivering technology against real business problems in finance or another data-rich, regulated domain.
  • Bachelor's or Master's degree in computer science, engineering, data science, or a related technical field, or equivalent experience.
  • Clear communicator who moves fluidly between engineers and finance/business leaders (preferred).
  • Experience running formal vendor evaluations, POCs, or build-vs-buy analyses (preferred).

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