Digital/Technical Product Manager Lead- AI Ops

USAA Life Insurance Company

San Antonio (TX)

Híbrido

USD 143.000 - 274.000

Jornada completa

Hace 3 días
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Descripción de la vacante

USAA Life Insurance Company in San Antonio, TX is seeking a dedicated Digital/Technical Product Manager Lead- AI Ops. You will define strategy, roadmap, and backlog for AIOps across Applications and Infrastructure domains, applying knowledge of LLMs and governance.

This is an individual-contributor role with on-site requirement five days a week in San Antonio; relocation not available. The role emphasizes measurable value, adoption metrics, and close collaboration with Platform/MLOps engineers

Formación

  • Bachelor's degree or equivalent with 4 years of related experience.
  • 5+ years product management in technical, data, or AI/ML products.
  • Ability to write and defend a backlog grounded in business value.
  • Experience with build-versus-buy decisions and adoption/value metrics.
  • Comfort operating in a regulated environment with familiarity with risk/compliance concepts.

Responsabilidades

  • Own and prioritize the AIOps use-case backlog with a documented business-value case for each item.
  • Write the value case for proposed use cases before engineering commits.
  • Make build-versus-buy and platform-selection recommendations for AIOps capabilities in partnership with Platform/MLOps Engineers and Directors.
  • Determine where specialized platform AI capability should sit organizationally.
  • Gather and synthesize requirements from Availability, SRE, ServiceNow, and report use-case adoption/value data to the AVP.

Conocimientos

Product management
AI/ML expertise
Backlog prioritization
Build-versus-buy decisions
Regulatory/compliance familiarity
Executive stakeholder communication

Educación

Bachelor's degree or 4 years of relevant education/experience

Descripción del empleo

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

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