Sr Manager, Digital Products & Platforms

At T-Mobile we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant employee stock purchase plan 401(k) and access to free year-round money coaches. Thats how were UNSTOPPABLE for our employees!

Job Overview
This role leads engineering teams that design build and operate enterprise-grade applications and digital products within an Agile automation-first delivery model. The teams work across the full stackJava/Spring Boot Angular/React Python APIs and data-enabled platformsand increasingly leverage agentic AI workflows (autonomous code generation AI-assisted testing intelligent pipeline orchestration) to multiply velocity and reduce manual toil. This is a people-leadership role with an engineering backbonethe Sr Manager sets technical direction makes architecture trade-off decisions coaches engineers and holds the quality bar but spends the majority of time leading teams rather than writing production code. Success is measured by delivery throughput team health and retention engineering cycle time reduction and the ability to run a lean organization that ships more with less through smart automation. The work directly impacts T-Mobiles product velocity customer experience and operational scalability..

Job Responsibilities

• Lead and manage cross-functional engineering teams (software engineers QA DevOps data engineers product managers) to deliver enterprise applicationsproviding technical direction architecture guidance coaching and performance management
• Build and evolve an agentic AI capability within the engineering orgstanding up AI-assisted workflows (automated code generation test creation Jira-to-MR pipelines) that reduce cycle time and free engineers for high-judgment work
• Define and drive continuous improvement and engineering excellenceCI/CD pipeline optimization automated quality gates tech debt management and measurable productivity frameworks (DORA metrics automation coverage)
• Own the technical roadmap in collaboration with architecture platform engineering cybersecurity and design teamsbalancing feature delivery platform modernization and automation investment
• Manage technical vendor relationships and evaluate emerging technology (AI/ML tooling cloud-native platforms data infrastructure) to keep the engineering stack current and competitive
• Recruit hire and develop engineering talent who bring strong full-stack fundamentals a bias toward automation and the ability to work effectively alongside AI-augmented toolchains

Education and Work Experience

• Bachelors Degree and 7 years of related work experience or a combination of education and experience deemed equivalent Acceptable areas of study include Computer Science Engineering IT or equivalent experience. (Required)
• 7-10 years experience of developing large scale business systems an agile product development environment with an engineering background across the modern stack (Java Python JavaScript/TypeScript APIs databases)
• 2-4 years People leadership managing cross-functional engineering teams (5 engineers in direct reporting relationships)including hiring performance management career development and org design((Required)
• 2-4 years applying AI/ML concepts or LLM-based tools in production environments; able to evaluate architectures and lead AI-augmented delivery (Preferred)
• 2 years driving delivery excellence through process improvement automation and measurable gains in velocity (e.g. cycle time deployment frequency reduced toil))(preferred)
• 2 years working with big data platforms (e.g. Snowflake Databricks Spark Kafka) and data pipeline operations (Preferred)
• 1 year operating in cloud-native/Kubernetes environments with CI/CD and infrastructure-as-code(Preferred)
• 1 year experience with API platforms gateways or developer ecosystems(Preferred)

Preferred Knowledge Skills and Abilities

• Engineering Leadership & Talent Development
  Sets technical direction makes sound architecture decisions and leads design/code reviews. Builds and develops high-performing teams through strong hiring coaching and career growth practices.
• Full-Stack Fluency
  Working knowledge of modern application architectures (backend services frontends APIs and data stores) sufficient to evaluate designs unblock teams and guide technical decisions.
• AI & Automation Strategy
  Understands agentic AI concepts LLM integration and automation patterns; able to lead AI adoption define governance and drive measurable business impact.
• Delivery Excellence (Agile DevOps & Velocity)
  Proven ability to run high-output teams using Agile and DevOps practices with a focus on automation continuous delivery and metrics such as DORA cycle time and throughput.
• Communication & Influence
  Effectively translates complex technical strategy for executive audiences and drives alignment across engineering product and platform team
• Data Platforms & Analytics
  Familiar with modern data ecosystems and pipeline design; able to partner with data teams and guide platform decisions.
• Cloud-Native & Kubernetes
  Working knowledge of containerized environments CI/CD pipelines and infrastructure-as-code; able to review deployments and troubleshoot with teams.
• API Ecosystems
  Exposure to API platforms gateways and developer portals within enterprise environments.
• Security & Compliance
  Understands enterprise security practices and integrates security into engineering workflows and automation.
• Observability & Reliability
  Familiar with monitoring and alerting tools; able to define SLOs and support a reliability-focused engineering culture.
• Engineering Metrics & Business Impact
  Uses productivity and quality metrics (e.g. DORA MTTR defect rates) to inform decisions and improve outcomes.

Preferred Licenses and Certifications

• Certified Scrum Master (CSM) or Scrum Product Owner (CSPO)
• Agile Certified Practitioner (PMI-ACP) or SAFe Agilist
• AWS / Azure / GCP Cloud certification (Solutions Architect Developer or equivalent)
• AI/ML certification ( Google ML Engineer AWS ML Specialty or equivalent)

• At least 18 years of age
• Legally authorized to work in the United States

Travel:
Travel Required (Yes/No):

DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No

Base Pay Range: $160000 - $288500

Corporate Bonus Target: 20%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidates actual pay will be based on various factors such as work location qualifications and experience so the actual starting pay will vary within this range.

At T-Mobile employees in regular non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employees eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location T-Mobile our benefits exemplify the spirit of One Team Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases offering medical dental and vision insurance a flexible spending account 401(k) employee stock grants employee stock purchase plan paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave family building benefits back-up care enhanced family support childcare subsidy tuition assistance college coaching short- and long-term disability voluntary AD&D coverage voluntary accident coverage voluntary life insurance voluntary disability insurance and voluntary long-term care insurance. We dont stop there - eligible employees can also receive mobile service & home internet discounts pet insurance and access to commuter and transit programs! To learn about T-Mobiles amazing benefits check out.

Never stop growing!
As part of the T-Mobile team you know the Un-carrier doesnt have a corporate ladderits more like a jungle gym of possibilities! We love helping our employees grow in their careers because its that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity youre living our values while investing in your career growthand we applaud it. Youre unstoppable!

T-Mobile USA Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age race ethnicity color religion creed sex sexual orientation gender identity or expression national origin religious affiliation marital status citizenship status veteran status the presence of any physical or mental disability or any other status or characteristic protected by federal state or local law. Discrimination retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process please let us know by emailing or calling 1-. Please note this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.