Manager, Payments, Fraud, Risk Technologies

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Job Overview

Are you ready to join the Un-carrier movement?

The Manager, Product & Engineering is responsible for implementing the design, product and technical build, support and maintenance of a key product or limited product portfolio, as well as the supporting technology capabilities and infrastructure that support that product in an Agile driven environment. Most often leading teams of 5 - 10 FTE, and may lead teams of onshore and offshore contracting companies. Direct reporting line may include team(s) of Product Manager(s), Product Owner(s), technical and solution architecture, DevOps management, UI / UX, Test, as well as full stack Software Development.

We are seeking a Manager, Product & Engineering to lead our payments fraud and risk management platform, enabling teams to apply multifaceted rules and technologies that reduce fraud while maintaining a streamlined customer experience. This role will supervise the platform's development, roadmap, and operational perfection, ensuring it meets the evolving needs of a growing business with increasing complexities and risks. The platform supports business teams that own fraud strategy, providing them with scalable, data-driven tools to detect and mitigate threats optimally. This leader will drive innovation, ensuring the platform remains adaptive, resilient, and aligned with the company's broader risk management objectives.

We are a team that encourages innovation and advocate an agile and open approach, truly working and playing in the Un-carrier way

Job Responsibilities :

• Platform Strategy & Roadmap: Define and implement the strategic roadmap for the fraud and risk management platform, ensuring it evolves to meet emerging threats and business complexities.
• Fraud Prevention & Risk Mitigation: Enable business teams with scalable, configurable rule engines and machine learning models reducing fraud issues while minimizing customer friction.
• Technology & Engineering Oversight: Lead development and optimization of the platform, ensuring high availability, security, and performance.
• Operational Excellence: Ensure seamless fraud monitoring, incident response, and continuous platform improvements to enhance risk detection and response capabilities.
• Cross-Functional Teamwork: Partner closely with strategy partners in fraud, data science, engineering, compliance, and product leaders to align platform capabilities with evolving business needs.
• Scalability & Adaptability: Drive platform transformation to support business growth, new product offerings, and emerging fraud patterns.
• Data-Driven Decision Making: Leverage analytics, AI / ML, and behavioral insights to continuously improve fraud detection and prevention mechanisms.
• Regulatory Compliance & Security: Ensure the platform adheres to relevant regulations, compliance requirements, and industry standard processes in fraud and risk management.
• Partner Engagement: Act as a key liaison between business teams, engineering, and leadership to align fraud prevention efforts with company objectives.
• Team Leadership & Development: Build, mentor, and lead a high-performing team, fostering a culture of innovation, teamwork, and continuous learning.

Education :

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

Work Experience :

• 4-7 years Product Management experience in an agile software product development environment. (Required)

Desired Experience :

• Fraud & Risk Management Expertise: 5+ years of experience in product management, engineering leadership, or risk technology, with a focus on fraud prevention, risk mitigation, or payments security.
• Platform Development & Scalability: Proven track record owning the development and scaling of fraud detection or risk management platforms, including rule-based and AI / ML solutions.
• Technical Leadership: Strong experience supervising engineering teams, implementing real-time risk assessment, ML models, and fraud decisioning systems.
• Agile & Iterative Development: Hands-on experience leading Agile teams, running sprints, and driving continuous improvement in fraud prevention technology.
• Operational & Compliance Knowledge: Familiarity with fraud regulations, KYC, AML, PCI compliance, and security standard methodologies.
• Data & Analytics Proficiency: Experience using analytics, behavioral modeling, AI / ML, and risk signals to improve detection and minimize false positives.
• Stakeholder Engagement: Ability to collaborate with fraud strategy teams, data science, compliance, legal, and customer experience teams to balance fraud prevention with user experience.
• Incident Response & Risk Monitoring: Experience handling fraud events, optimizing real-time monitoring, and refining alerting and customer concern areas.
• Scalability & Business Growth: Background in adapting fraud platforms to support new products, markets, and risk landscapes as businesses evolve.
• Team Leadership & Culture Building: Experience leading, mentoring, and developing high-performing product and engineering teams.

Knowledge, Skills and Abilities :

• Fraud Detection & Risk Decisioning: Deep understanding of fraud prevention tools, risk modeling, and adaptive decisioning systems.
• AI / ML & Behavioral Analytics: Knowledge of machine learning techniques, anomaly detection, and behavioral risk assessment models.
• Cloud & Scalable Infrastructure: Familiarity with AWS, Google Cloud, or Azure for real-time fraud detection and risk management solutions.
• Payment Security & Compliance: Strong understanding of PCI DSS, AML, KYC, and other regulatory frameworks impacting fraud and risk.
• Real-Time & Rule-Based Decisioning: Experience with fraud rule engines, risk scoring, and adaptive authentication mechanisms.
• Agile & Product Management: Strong expertise in Agile methodologies, backlog management, and iterative development of fraud prevention tools.
• Data-Driven Mindset: Proficiency in SQL, data visualization tools, and risk analytics to advise fraud strategy decisions.
• Strong Communication & Leadership: Ability to convey technical risk concepts to business partners and align teams on fraud prevention objectives.

Licenses and Certifications :

• Other Technical Certification Agile Certified Practitioner (PMI-ACP) (Preferred)
• At least 18 years of age
• Legally authorized to work in the United States

Base Pay Range : $134,300 - $242,200 Corporate Bonus Target: 15%

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.

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 -mobile.com or calling 1-844-873-9500.