📌 Core Information
🔹 Job Title: Product Marketing Manager - Insights & Performance
🔹 Company: T-Mobile
🔹 Location: Bellevue, WA or Overland Park, KS
🔹 Job Type: Full-Time, Hybrid (3 days in office)
🔹 Category: Marketing
🔹 Date Posted: April 4, 2025
🔹 Experience Level: 2-5 years
🔹 Remote Status: On-site/Hybrid
🚀 Job Overview
Key aspects of this role include:
- Analyzing customer behavior and program performance to enhance T-Mobile Tuesdays loyalty program
- Producing reports and providing data-informed recommendations to leadership
- Collaborating with cross-functional teams to inform product roadmap decisions
- Identifying trends, insights, and opportunities for optimization
- Finding opportunities for innovation and growth
ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and the ability to work effectively with cross-functional teams.
📋 Key Responsibilities
✅ Assist in developing an understanding of customer behaviors, preferences, and engagement within T-Mobile Tuesdays
✅ Monitor and analyze T-Mobile Tuesdays performance metrics to identify trends, insights, and opportunities for optimization
✅ Produce in-house reporting for TMT business management, tying T-Mobile Tuesdays data to core internal customer account data
✅ Collaborate with cross-functional teams to inform and influence product roadmap decisions based on performance and insights
✅ Provide regular, data-informed updates and recommendations to leadership to support strategic decision-making and prioritization
✅ Deep dive data analysis and reporting as directed
✅ Partner with other internal teams or vendors on initiatives to improve data accuracy and gathering
✅ Extend company's data with third-party sources of information when needed
✅ Process, cleanse, and verify the integrity of data used for analysis
ASSUMPTION: This role requires a high level of attention to detail, strong analytical skills, and the ability to work independently and collaboratively.
🎯 Required Qualifications
Education: Bachelor’s degree in Marketing, Business, Communications, or related field
Experience: 1-3 years of experience in product marketing, consumer insights, marketing analytics, or related fields; 3+ years of progressive experience in analytics and data modeling
Required Skills:
- Strong analytical skills with the ability to interpret complex data and translate it into actionable marketing and product strategies
- Excellent verbal and written communication skills, with experience creating compelling presentations and narratives for diverse audiences
- Collaborative approach with experience effectively supporting cross-functional projects
- Strong project management, organizational, and multitasking capabilities
- Self-starter and results-oriented with a desire for continuous improvement
- Strong analytical, problem-solving, and communication skills
- Proficiency in SQL
- Experience with reporting and analytics tools such as Power BI, Snowflake, Adobe Analytics, Google Analytics, and Python
- Proficiency using Microsoft Office Suite (Excel, PowerPoint, Outlook)
Preferred Skills:
- Experience with loyalty program management
- Knowledge of the telecommunications industry
ASSUMPTION: Candidates should have a strong foundation in marketing, analytics, and data modeling, with a proven track record of driving results through data-informed decision-making.
💰 Compensation & Benefits
Salary Range: $93,700 - $169,100 (based on location and experience)
Benefits:
- Medical, dental, and vision insurance
- Flexible spending account
- 401(k) with company match
- Employee stock grants and purchase plan
- Paid time off and holidays
- Paid parental and family leave
- Family building benefits and childcare subsidy
- Tuition assistance and college coaching
- Short- and long-term disability insurance
- Voluntary life, AD&D, and long-term care insurance
- Mobile service and home internet discounts
- Pet insurance
Working Hours: Full-time, typically 40 hours per week, with flexibility for hybrid work arrangement (3 days in office)
ASSUMPTION: The salary range provided is an estimate based on industry standards for the role, experience level, and location. Actual starting pay may vary within this range.
📌 Applicant Insights
🔍 Company Context
Industry: Telecommunications, with a focus on wireless services and 5G technology
Company Size: 10,001+ employees, offering a large, diverse work environment with opportunities for growth and career advancement
Founded: 1996, with a rich history of innovation and disruption in the wireless industry
Company Description:
- T-Mobile US, Inc. (NASDAQ: TMUS) is America’s supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network
- T-Mobile’s customers benefit from its unmatched combination of value and quality, unwavering obsession with offering them the best possible service experience
- T-Mobile provides services through its subsidiaries and operates its flagship brands, T-Mobile and Metro by T-Mobile
Company Specialties:
- IoT
- Retail
- 5G for All
- Future of 5G
- Business Sales
- Customer Care
- Business Wireless
- Consumer Wireless
- Technology
- Internships & Returnships
- DE&I
- and Benefits & Perks
Company Website: https://www.t-mobile.com
ASSUMPTION: T-Mobile is a well-established company with a strong brand and a commitment to innovation and customer satisfaction.
📊 Role Analysis
Career Level: Mid-level, with opportunities for growth and advancement within the marketing department and the company
Reporting Structure: This role reports directly to the Senior Manager, Product Marketing - T-Mobile Tuesdays
Work Arrangement: Hybrid, with 3 days required in the office (Bellevue, WA or Overland Park, KS)
Growth Opportunities:
- Potential career progression to Senior Product Marketing Manager or similar roles
- Expansion of responsibilities based on performance and company growth
- Opportunities to work on high-impact projects and initiatives
ASSUMPTION: This role offers significant growth potential for the right candidate, with opportunities to make a meaningful impact on the company’s success.
🌍 Location & Work Environment
Office Type: Corporate office environment with a hybrid work arrangement
Office Location(s): Bellevue, WA or Overland Park, KS
Geographic Context:
- Bellevue, WA: A suburban city east of Seattle, with a thriving tech industry and a high cost of living
- Overland Park, KS: A suburb of Kansas City, with a lower cost of living and a strong job market
Work Schedule: Full-time, typically 40 hours per week, with flexibility for hybrid work arrangement (3 days in office)
ASSUMPTION: The location of this role may require relocation for some candidates, with potential adjustments to compensation based on cost of living differences.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screen with a recruiter or HR representative
- Phone or video interview with the hiring manager
- On-site or virtual final interview with key stakeholders
- Background check and offer extension
Key Assessment Areas:
- Analytical skills and data interpretation
- Communication skills and presentation abilities
- Collaboration and teamwork
- Problem-solving and critical thinking
- Cultural fit and alignment with T-Mobile’s values
Application Tips:
- Tailor your resume and cover letter to highlight relevant skills and experiences for this role
- Demonstrate your understanding of T-Mobile Tuesdays and the telecommunications industry
- Prepare examples of your analytical work and data-driven decision-making
- Be ready to discuss your approach to customer insights and program optimization
ATS Keywords: Product Marketing, Consumer Insights, Marketing Analytics, Data Analysis, SQL, Power BI, Snowflake, Adobe Analytics, Google Analytics, Python, Microsoft Office Suite, Analytical Skills, Communication Skills, Project Management, Organizational Skills, Problem Solving
ASSUMPTION: The application process for this role may be competitive, with a high volume of candidates. Tailoring your application materials and preparing for behavioral interviews will be crucial for success.
🛠️ Tools & Technologies
- Microsoft Office Suite (Excel, PowerPoint, Outlook)
- SQL
- Power BI
- Snowflake
- Adobe Analytics
- Google Analytics
- Python
ASSUMPTION: Proficiency in these tools and technologies is essential for success in this role, with opportunities for professional development and training available.
👔 Cultural Fit Considerations
Company Values:
- Un-carrier Spirit: Challenge the status quo and never stop innovating
- Integrity: Do the right thing, no matter what
- Inclusion: Embrace diverse perspectives and create an environment where everyone belongs
- Excellence: Pursue and deliver results that exceed expectations
- One Team: Work together to achieve extraordinary results
Work Style:
- Collaborative and team-oriented, with a focus on cross-functional partnerships
- Data-driven and analytical, with a strong emphasis on performance metrics and KPIs
- Agile and adaptable, with a willingness to pivot and iterate based on new information
- Customer-focused, with a deep understanding of customer needs and preferences
Self-Assessment Questions:
- How do you align with T-Mobile’s company values, particularly the Un-carrier Spirit and Excellence?
- How comfortable are you working in a hybrid environment, with a minimum of 3 days in the office?
- How do you approach continuous learning and professional development in a fast-paced, data-driven role?
ASSUMPTION: T-Mobile values candidates who embody their core values, demonstrate a strong work ethic, and are committed to driving results through collaboration and innovation.
⚠️ Potential Challenges
- Working in a fast-paced, dynamic environment with shifting priorities and tight deadlines
- Managing multiple projects and stakeholders simultaneously, requiring strong organizational and time management skills
- Navigating a large, matrixed organization with diverse teams and perspectives
- Adapting to changes in the telecommunications industry and T-Mobile’s business strategies
ASSUMPTION: These challenges can be overcome with strong communication, collaboration, and adaptability skills, as well as a willingness to learn and grow in a dynamic environment.
📈 Similar Roles Comparison
- Product Marketing Manager (Consumer Goods): Focuses on consumer-facing products, with a broader product portfolio and potentially less data-driven decision-making
- Market Research Analyst: More focused on data collection and analysis, with less emphasis on strategic decision-making and cross-functional collaboration
- Senior Product Manager: Oversees the entire product lifecycle, with more responsibility for product development and roadmap strategy
ASSUMPTION: This role offers a unique blend of analytical, strategic, and collaborative responsibilities, with opportunities for growth and advancement within the marketing department and the company.
📝 Sample Projects
- Conducting a customer segmentation analysis to inform targeted marketing campaigns and product enhancements
- Developing a predictive model to identify high-value customers and optimize retention strategies
- Analyzing competitive landscape and market trends to inform product positioning and differentiation
ASSUMPTION: These sample projects illustrate the data-driven, strategic, and collaborative nature of this role, with a focus on driving results through customer insights and program optimization.
❓ Key Questions to Ask During Interview
- How does this role fit into the broader marketing strategy for T-Mobile Tuesdays and the company as a whole?
- What are the key priorities for this role in the first 30, 60, and 90 days?
- How does the hiring manager envision this role evolving over time, based on company growth and performance?
- What opportunities are there for collaboration and knowledge-sharing with other teams and departments within the company?
- How does T-Mobile support the professional development and growth of its employees, particularly in the marketing department?
ASSUMPTION: Asking thoughtful, insightful questions demonstrates your interest in the role and the company, and provides valuable information to inform your decision-making.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight relevant skills and experiences for this role
- Prepare examples of your analytical work and data-driven decision-making
- Be ready to discuss your approach to customer insights and program optimization
- Follow up with the hiring manager or recruiter one week after submitting your application, inquiring about the status of your application and expressing your continued interest in the role
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
