Senior Product Manager, Technical Buying Platform

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Advertising Solutions is T-Mobile’s fast-growing advertising technology business. It leverages high-quality mobile data from the T-Mobile network that enables advertisers to build audience segments based on app ownership and usage insights.

T-Mobile is bringing innovative solutions to the advertising space, making more channels and better data accessible to advertisers of all kinds.

We are seeking a Senior Product Manager to lead the product strategy and execution for our Demand Side Platform (DSP). In this role, you will focus on enhancing our ad tech offerings, leveraging advanced audience targeting, machine learning systems, and data-driven insights to optimize campaign performance.

You will collaborate closely with cross-functional teams to build scalable, innovative solutions for advertisers and agencies.

This position is ideal for a seasoned product manager with deep experience in ad tech, handling identity data, and managing machine learning-based systems.

Job Responsibilities :

• Product Strategy & Vision : Define and lead the product vision, strategy, and roadmap for our DSP platform, focusing on leveraging identity data and machine learning systems to optimize targeting, bidding, and campaign performance.
• Ad Tech Identity & Addressability : Stay on top and guide the evolution of addressability and understand its role in audience segmentation and targeting within a privacy-first ad tech landscape.

Drive product features that enhance user matching and ID management.

Machine Learning Integration : Collaborate with data science and engineering teams to manage and scale machine learning systems that drive predictive models, optimization algorithms, and real-time bidding strategies.

Ensure that ML-driven enhancements improve campaign efficiency and ROI for clients.

• Data-Driven Insights : Use SQL and data analysis tools to analyze campaign performance and identify trends. Generate actionable insights that improve key performance indicators (KPIs) such as CPA, ROI, and viewability.
• Cross-functional Teamwork : Partner with engineering, data science, and sales teams to deliver innovative DSP features.

Align cross-functional teams on product goals and ensure timely execution of the product roadmap.

Client Engagement : Serve as the primary point of contact for key clients and agencies, ensuring their needs are understood and incorporated into the product strategy.

Gather feedback to inform product iterations that drive value and retention.

Storytelling Through Data : Use your expertise in data to build compelling narratives that explain product performance, optimization strategies, and future enhancements to stakeholders.

Communicate data-driven insights to both technical and non-technical audiences.

Market & Competitive Analysis : Stay informed on the latest trends in ad tech, identity resolution, machine learning, and privacy regulations.

Use this knowledge to inform the product roadmap and maintain a competitive advantage.

Ownership of Product Lifecycle : Manage the full product lifecycle, from ideation and development to launch and optimization.

Ensure that product features deliver value to clients, focusing on improving campaign performance and operational efficiency.

Customer-Centric Approach : Advocate for the needs of advertisers and agencies by continuously refining the product to meet their evolving demands.

Ensure that features align with business objectives and market demands.

Education :

Bachelor's Degree Computer Science, Engineering, IT or equivalent experience. (Required)

Work Experience :

• Experience : 8-10 years of experience in product management, with at least 5 years in ad tech, marketplace, or other data-driven, technical domains.
• Ad Tech Identity & Data Expertise : Experience working with ad tech identity solutions such as MAIDs, cookies, IDFVs, and other identifiers.

Deep understanding of how identity data drives audience targeting and attribution in a privacy-conscious environment.

Machine Learning & Data Skills : Proven experience working with or managing products that incorporate machine learning systems for optimization and predictive modeling.

Strong SQL skills and comfort working with large datasets to inform product decisions.

• Analytical & Strategic : Ability to think strategically and back decisions with data-driven insights. Strong problem-solving skills and a focus on delivering measurable outcomes.
• Cross-Functional Leadership : Demonstrated ability to work with technical, sales, and operations teams to align product goals and deliver successful outcomes.
• Communication Skills : Excellent verbal and written communication skills, with the ability to present complex technical concepts to a variety of stakeholders.
• Customer-Centric : A strong focus on customer success and the ability to translate client feedback into impactful product features.

Knowledge, Skills and Abilities :

• Experience working with DSPs, SSPs, or other programmatic ad tech platforms.
• Familiarity with real-time bidding (RTB), audience segmentation, and campaign optimization techniques.
• Understanding of data privacy regulations such as GDPR, CCPA, and how they impact identity data and machine learning in programmatic advertising
• 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 : $124,700 - $224,900Corporate Bonus Target : 20%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s 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 employee’s 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, ;paradox 1

At 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 don't 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-Mobile’s amazing benefits, check out

Never stop growing!

As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward.

By applying for this career opportunity, you’re living our values while investing in your career growth and we applaud it. You’re unstoppable!

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