Senior Technical Product Manager – End-to-End Impact

T-MOBILE USA, Inc.; Bellevue (WA); Hybrid; USD 133,000 - 266,000; Full time

Benefits offered by this job

Stock grants

Employee stock purchase plan

401(k)

Job summary

T-Mobile USA, Inc. is seeking a Product Manager to own end-to-end lifecycle for complex technical solutions, aligning features with business goals and customer needs.

You will conduct market and customer research to shape strategy and roadmap, and work with development, architecture, and stakeholders to drive technical delivery and releases. The role requires strong data analysis to prioritize features, assess risks, and support decisions.

Qualifications

• Education, experience, and skills required to perform essential functions.
• Bachelor's degree plus 7 years of related work experience or advanced degree with 5 years of related experience.
• 7+ years of Product Management experience in an agile software product development environment.

Responsibilities

• Own the end-to-end product lifecycle for complex technical solutions aligned with business goals and customer needs.
• Conduct market and customer research to identify opportunities and inform product strategy and roadmap development.
• Collaborate with cross-functional teams including development, architecture, and stakeholders to drive delivery and releases.
• Analyze data to prioritize features, assess risks, and support decision-making.

Skills

Product management

Agile methodologies

Stakeholder collaboration

Market analysis

Customer research

Technical delivery

Lean practices

DevOps CICD

Education

Bachelor's degree + 7y exp

Advanced degree +5y exp

Job description

T-Mobile USA, Inc. is seeking a Product Manager to own end-to-end lifecycle for complex technical solutions, aligning features with business goals and customer needs.

You will conduct market and customer research to shape strategy and roadmap, and work with development, architecture, and stakeholders to drive technical delivery and releases. The role requires strong data analysis to prioritize features, assess risks, and support decisions.