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USAA

Sells insurance and banking to military families

Digital/Technical Product Manager Lead: AI Ops

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeSan Antonio, TX, USA

About the Job

Requirements

  • A bachelor's degree, or four years of relevant education and/or experience.
  • At least five years of product management experience, including some experience with a technical, data, or AI/ML product rather than a purely business-facing product.
  • Demonstrated experience writing and defending a prioritized backlog grounded in business value, including discontinuing items that did not succeed.
  • Working technical fluency in large language models, machine-learning model lifecycles, and their practical limitations, sufficient to evaluate engineering claims.
  • Experience making or materially informing build-versus-buy decisions for a technology capability, and defining and tracking adoption or value metrics for a product or capability.
  • Familiarity with model risk or compliance concepts sufficient to engage Risk and Audit as a credible partner, comfort operating in a regulated environment, and comfort operating without formal authority over engineers.

Responsibilities

  • Own and prioritize the AIOps use-case backlog across application and infrastructure domains, documenting the business-value case for selected items and the reason for excluding others.
  • Write a value case for each proposed use case before engineering commits meaningful effort, including the adoption and success metrics used to measure it.
  • Recommend build-versus-buy and platform selection for AIOps capabilities, including which large language model or model family to standardize on and whether vendor platforms or custom development better meet needs, in partnership with the Platform/MLOps Engineer and both Directors.
  • Decide where specialized platform AI capabilities should be organized—within the owning platform team or centralized under AIOps—and revisit those decisions as capabilities and platforms evolve.
  • Gather and synthesize requirements from AIOps consumers, including Availability, Site Reliability Engineering, ServiceNow, and other operations pillars, and report use-case-level adoption and value data to the AVP.

Desired Qualifications

  • Own product strategy and lifecycle for AI- or ML-enabled capabilities from early development through production deployment, adoption, and measurable value realization.
  • Make strategic capability and platform decisions by evaluating build, buy, reuse, and integration options to optimize long-term business and technology outcomes.
  • Make data-driven prioritization and investment decisions, including recommending discontinuation or deprioritization when business value, feasibility, risk, or strategic alignment does not support continued investment.
  • Design and implement value-measurement frameworks for emerging technology capabilities, defining meaningful adoption, operational, and business-outcome metrics where traditional measures may not apply.
  • Represent technical products with executive-level stakeholders and translate complex capabilities and outcomes into clear business value to inform funding, investment, and prioritization decisions.

About the Company

USAA

Sells insurance and banking to military families

USAA sells insurance, banking and investment products to U.S. military members, veterans and their families, and membership is limited to that community and eligible relatives. It began when Army officers who struggled to get car coverage agreed to insure each other, and auto and home insurance remain its core business. Members can also open checking and savings accounts, carry credit cards, take out auto loans and mortgages, and buy life insurance, annuities and retirement accounts. The company earns money from insurance premiums, loan interest, card fees and investment management. USAA was founded in 1922 and is based in San Antonio, Texas.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
San Antonio, TX
Founded
1922

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