Digital/Technical Product Manager Lead, AI Ops

USAA

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Antonio, TX
Salary
$143,320–$273,930 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today
Closes
Nov 17, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k
This role $209k
$128k $290k
below market most similar roles pay here above market

This role pays more than 57% of similar roles. Most pay $177,250–$227,200 — the blue band above. At the midpoint, this role pays about $209k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About USAA

USAA (United Services Automobile Association) is a San Antonio-based Fortune 500 financial services company founded in 1922, dedicated to providing insurance, banking, and investment solutions exclusively to U.S. military members, veterans, and their families.

USAA currently has 71 open roles on FindRole.

Listed pay typically runs $114,080–$218,030 across 38 roles with salary data.

Most-posted roles

View all roles at USAA

At a glance

TL;DR · Digital/Technical Product Manager Lead, AI Ops

The Digital/Technical Product Manager Lead- AI Ops serves as an individual-contributor role responsible for defining the product strategy, roadmap, and prioritized use-case backlog for AIOps capabilities across Application and Infrastructure domains. This position involves leading use-case prioritization, making build-versus-buy decisions, and defining adoption and value metrics. The successful candidate will evaluate complex tradeoffs regarding LLMs, model risk, AI governance, and autonomous operations to guide product decisions. Key responsibilities include synthesizing requirements from operations pillars like SRE and ServiceNow while managing the lifecycle of AI-enabled capabilities from development through production. Required skills include technical fluency in ML model lifecycles, experience with data-driven prioritization, and the ability to navigate regulated environments involving model risk and compliance concepts to solve operational challenges within the AIOps space.

What you'll do

  • Define and drive the product strategy, roadmap, and prioritized use-case backlog for AIOps capabilities.
  • Own the AIOps use-case backlog by documenting business-value cases and success metrics for every item.
  • Make build-versus-buy and platform-selection recommendations for LLMs and AIOps-specific capabilities.
  • Determine the organizational placement of specialized platform AI capabilities based on emerging technologies.
  • Gather and synthesize requirements from internal consumers like Availability, SRE, and ServiceNow teams.
  • Report use-case-level adoption and value data to the Assistant Vice President.
  • Evaluate complex AI-specific tradeoffs involving LLMs, model risk, and AI governance to guide product decisions.
  • Design and implement value-measurement frameworks to track adoption and business outcomes for emerging technologies.

What we're looking for

  • Must have a Bachelor's degree or 4 years of relevant education and/or experience.
  • Must have 5+ years of product management experience, including technical, data, or AI/ML products.
  • Must have demonstrated experience writing and defending a prioritized backlog grounded in business value.
  • Must have working technical fluency in LLMs, ML model lifecycles, and their practical limitations.
  • Must have experience making build-versus-buy decisions and defining/tracking adoption or value metrics.
  • Must be comfortable operating in a regulated environment with familiarity with model risk or compliance concepts.
  • Must be able to work on-site in San Antonio, TX, 5 days per week.
  • Must be able to work without immigration support (H-1B, TN, STEM OPT, etc.).

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