Senior Manager, Forward Deployment Engineer

T-Mobile

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Bellevue, WA
Salary
$176,000–$317,400 / yr
Posted
41 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $247k
$128k most similar roles pay here $338k

This role pays more than 82% of similar roles. Most pay $165,862–$233,000 — the shaded band above. At the midpoint, this role pays about $247k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About T-Mobile

T-Mobile US is the second-largest wireless carrier in the United States, providing wireless voice, messaging, and data services under the T-Mobile and Metro by T-Mobile brands. Industry: Wireless Telecommunications

T-Mobile currently has 21 open roles on FindRole.

Listed pay typically runs $127,800–$214,360 across 21 roles with salary data.

Most-posted roles

View all roles at T-Mobile

At a glance

TL;DR · Senior Manager, Forward Deployment Engineer

Sr Manager, Forward Deployment Engineer leads the management layer of the Forward Deployment Engineering practice, overseeing multiple pods that build and deploy production agentic AI solutions to solve real business problems. This role involves managing the technical quality of high-stakes deliveries, ensuring responsible AI and data security standards are met across all products. The manager coordinates resource allocation, manages headcount planning, and serves as a primary point of contact for senior leadership to align roadmaps with strategic objectives. Candidates must possess an engineering foundation in AI/ML, including familiarity with LLM deployment patterns like RAG architecture, prompt orchestration, multi-agent systems, and frameworks such as LangChain, LlamaIndex, or AutoGen. The role requires proficiency in cloud-native infrastructure, specifically AWS, while managing the growth and performance of technical teams to deliver measurable ROI outcomes.

What you'll do

  • Provide technical guidance on agentic AI delivery decisions, architectural trade-offs, and cross-domain patterns.
  • Ensure all products meet responsible AI, data security, and privacy standards.
  • Manage resource allocation, headcount planning, and the hiring pipeline across multiple engineering pods.
  • Serve as the primary point of contact for Director and VP-level business leaders to align roadmaps and resolve blockers.
  • Monitor and report on practice-level metrics including ROI, team retention, and delivery quality.
  • Manage and coach a team of managers to ensure high performance and career development for engineers.
  • Coordinate with cross-functional teams in engineering, operations, HR, and finance to drive outcomes.

What we're looking for

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field.
  • Master's degree preferred or equivalent relevant experience.
  • 7 to 10 years of combined experience in technical and people leadership roles.
  • At least 5 years of progressive people management experience, including managing other managers or senior technical leads.
  • Hands-on production engineering foundation with a track record of delivering measurable business outcomes.
  • Technical proficiency in AI/ML, LLM deployment patterns (RAG, prompt orchestration), and agentic frameworks like LangChain or LlamaIndex.
  • Experience managing multi-domain programs and navigating complex cross-functional leadership without direct authority over all functions.
  • Authorized to work in the United States.

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