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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management with a focus on AIOps capabilities, including defining product strategy, managing backlogs, and tracking adoption metrics. Proficient in evaluating AI/ML technologies and making informed build-versus-buy decisions while effectively communicating technical concepts to stakeholders.
Highest-signal resume keywords
Product Management ExperienceAIOps CapabilitiesLLMs and ML Model LifecyclesBuild-Versus-Buy Decision MakingAdoption and Value Metrics Tracking
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product StrategyBacklog PrioritizationValue Case WritingTechnical Fluency in AI/MLMetrics Definition and TrackingModel Risk ComplianceVendor Platform AssessmentRequirements GatheringSRE CollaborationBusiness Value Translation
Soft Skills
Stakeholder CommunicationCross-Functional CollaborationInfluencing Without Authority
Tools & Technologies
ServiceNowAIOps Platforms
Industry Keywords
Data ProductsAI/ML ProductsTechnical Product ManagementBusiness Value CasesOperational Metrics
Tech Stack
Tools & technologiesServiceNow
About the role
Key responsibilities & impact- Define and drive product strategy, roadmap, and prioritized use-case backlog for AIOps capabilities across Application and Infrastructure domains
- Own and prioritize the AIOps use-case backlog across both domains using documented business-value cases
- Write value cases and define adoption and success metrics before engineering commits meaningful effort
- Make build-versus-buy and platform-selection recommendations for AIOps capabilities
- Recommend which LLM or model family to standardize on and assess vendor platforms versus custom builds
- Determine whether specialized platform AI capability should be embedded in a platform team or centralized under AIOps
- Gather and synthesize requirements from Availability, SRE, ServiceNow, and other operations pillars
- Report use-case-level adoption and value data to the AVP
- Represent technical products and translate complex capabilities and outcomes into business value for executive stakeholders
Requirements
What you’ll need- Bachelor's degree; OR 4 years of relevant education and/or experience
- 5+ years of product management experience
- Experience with a technical, data, or AI/ML product
- Experience writing and defending a prioritized backlog grounded in business value
- Working technical fluency in LLMs, ML model lifecycles, and their practical limitations
- Experience making or materially informing build-versus-buy decisions for a technology capability
- Experience 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 without formal authority over engineers
- USAA does not provide visa sponsorship; applicants must not need immigration support now or in the future
Benefits
Comp & perks- Remote or hybrid flexibility may be available for active-duty military spouses, consistent with applicable policy and business needs
- Pay incentives based on overall corporate and individual performance, at the discretion of the USAA Board of Directors
- Comprehensive medical, dental and vision plans
- 401(k)
- Pension
- Life insurance
- Parental benefits
- Adoption assistance
- Paid time off program
- Paid holidays
- 16 paid volunteer hours
- Wellness programs
- Career path planning
- Continuing education assistance