SEO Manager, Search Intelligence & AI

T-Mobile•Bellevue, WA

13h•$75,800 - $136,800

About The Position

The SEO Manager, Search Intelligence & AI connects performance data across organic and paid search, tracks how T-Mobile surfaces in AI results, and translates all of it into clear analysis the team and leadership can make decisions from. It requires analytical rigor and good judgment: not just the ability to pull and report data, but the understanding to know what it means in context and how it connects to what the program is trying to accomplish. The right person is genuinely curious about how AI search is evolving, as comfortable digging into performance data as they are discussing visibility trends, and able to communicate complex findings clearly to people across different functions.

Requirements

Bachelor degree in Business, Marketing, Analytics, or a related field or comparable experience.
2-4 years in SEO/SEM, analytics, or search insights roles.
Hands-on experience with SEO and paid search data sources: analytics platforms, search console, paid search reporting, and competitive intelligence tools.
Proficiency in SQL or similar data querying languages.
Ability to translate the team's business needs into clear technical requirements for data and analytics partners, so the reporting and dashboards the program relies on get built accurately.
Working knowledge of AI search: how generative results work, what drives citation, how GEO differs from traditional SEO, and how to monitor visibility across these surfaces.
Clear point of view on how AI is reshaping search performance, with the ability to translate that perspective to different audiences, whether that's the SEO team, paid search partners, or stakeholders less close to the work.
Hands-on experience managing and/or building AI search tracking tools and platforms.
Strong analytical skills and the judgment to go beyond what the data shows, understanding what it means in the context of the program's strategy and priorities.
Strong communication skills: able to take complex, multi-source data and explain it simply and clearly to a range of audiences.
Reliability and collaboration: this role produces work others depend on, and the ability to deliver consistently while working across teams and functions matters.
Curious and investigative approach, with an interest in new AI tools, search trends, and emerging measurement approaches.
At least 18 years of age
Legally authorized to work in the United States

Responsibilities

Be the team's go-to person on AI-driven search, staying ahead of developments in AI Overviews, Generative Engine Optimization (GEO), LLM-powered results, and how these surfaces affect T-Mobile's visibility.
Monitor how T-Mobile appears across AI search, tracking citation patterns, AI-generated results, and LLM outputs, and identifying what's driving visibility for T-Mobile and its competitors – and where there is opportunity to expand.
Connect AI visibility signals to broader organic and paid search performance, giving the team a complete view of how T-Mobile shows up across the full search landscape.
Identify emerging AI search opportunities and help the team understand how SEO and paid search efforts can be optimized for AI surfaces.
Help build and maintain the Search program's performance reporting across organic, paid, and AI channels, ensuring the team works from a single, accurate, and consistent view of how search is performing.
Help maintain the shared measurement framework that keeps organic and paid search aligned on definitions, metrics, and how performance is communicated across the program.
Partner with data and analytics teams to translate the Search team's business needs into clear requirements for the reports and dashboards the program depends on, ensuring outputs are accurate and useful.
Track competitive search performance, market demand, and SERP dynamics across T-Mobile's key business lines, surfacing the shifts that should inform strategy and performance reporting.
Synthesize data from across organic, paid, and AI search into clear, connected analysis the program and its stakeholders can act on.
Help build performance narratives the Search Lead shares with leadership, simplifying what's happening, why it matters, and what the team should do about it.
Support LOB leads by connecting performance data to the strategy and priorities of their specific business unit, making analysis useful at the line-of-business level, not just the program level.