Why USAA?
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.
We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.
The Opportunity
We are seeking a dedicated Digital/Technical Product Manager Lead- AI Ops. The AIOps Product Manager defines and drives the product strategy, roadmap, and prioritized use-case backlog for AIOps capabilities across Application and Infrastructure domains.
This individual-contributor role determines what gets built and why, leading use-case prioritization, AIOps platform and build-versus-buy decisions, and the definition of adoption and value metrics. The role applies technical knowledge of LLMs, model risk, AI governance, and autonomous operations to evaluate complex AI-specific tradeoffs and guide product decisions. Success is measured by a value-driven roadmap and measurement framework that enables effective engineering execution and demonstrates the business and operational impact of AIOps investments.
This position will be based in San Antonio; TX and offers a flexible working environment with an on-site requirement of 5 days per week. Relocation assistance is not available for this position.
What you'll do:
- Own and prioritize the AIOps use-case backlog across both domains, grounded in a documented business-value case for every item that makes the cut - and a documented reason for every item that doesn't.
- Write the value case for a proposed use case before engineering commits meaningful effort, including the adoption and success metrics it will be measured against.
- Make build-versus-buy and platform-selection recommendations for AIOps-specific capability - which LLM or model family to standardize on, whether a vendor platform covers a need better than a custom build - in partnership with the Platform/MLOps Engineer and both Directors.
- Own the ongoing decision of where specialized platform AI capability should sit organizationally - embedded in the owning platform team or centralized under AIOps - revisiting it as new capabilities and platforms emerge.
- Gather and synthesize requirements from the AIOps capability's actual consumers - Availability, SRE, ServiceNow, and other operations pillars - and report use-case-level adoption and value data up to the AVP.
What You Have:
- Bachelor's degree; OR 4 years of relevant education and/or experience.
- 5+ years of product management experience, including at least some of it on a technical, data, or AI/ML product, not purely business-facing one.
- Demonstrated experience writing and defending a prioritized backlog grounded in business value, including killing items that didn't pan out.
- Working technical fluency in LLMs, ML model lifecycles, and their practical limitations, sufficient to evaluate an engineering team's technical claims rather than simply accept them.
- Experience making or materially informing build-versus-buy decisions for a technology capability, and experience defining and tracking adoption or value metrics for a product or capability.
- Comfort operating in a regulated environment, including enough familiarity with model risk or compliance concepts to engage Risk and Audit as a credible partner, and comfort operating without formal authority over the engineers building what you prioritize.
What Sets You Apart:
- Demonstrated experience owning the product strategy and lifecycle for AI- or ML-enabled capabilities, from early development through production deployment, adoption, and measurable value realization.
- Experience making strategic capability and platform decisions, including evaluating build, buy, reuse, and integration options to optimize long-term business and technology outcomes.
- Proven ability to make data-driven prioritization and investment decisions, including recommending the discontinuation or deprioritization of initiatives when business value, feasibility, risk, or strategic alignment does not support continued investment.
- Experience designing and implementing value-measurement frameworks for emerging technology capabilities, including defining meaningful adoption, operational, and business-outcome metrics where traditional measures may not apply.
- Demonstrated experience representing technical products with executive-level stakeholders, translating complex capabilities and outcomes into clear business value to inform funding, investment, and prioritization decisions.
Compensation range: The salary range for this position is: $143,320- $273,930 .
USAA does not provide visa sponsorship for th