Jobs at PayPal

The Manager will lead the P2P Operations Enablement team, optimizing procurement processes, providing support, and fostering strong partnerships with internal teams to enhance procurement efficiency and ensure compliance.

Manage financial regulatory compliance for PayPal in the LATAM region, ensuring accurate reporting, collaboration with stakeholders, and adherence to regulations.

Design, develop, and implement machine learning models and algorithms, collaborate with teams to enhance AI/ML services, and ensure data quality.

The Senior Machine Learning Engineer will build and scale AI systems for risk management in fintech, developing and deploying ML models and collaborating with cross-functional teams.

The VAS and Payouts Specialist partners with sales teams to grow PayPal's services, drive adoption, and enhance client satisfaction while leading project coordination and strategy discussions.

Designs, implements, tests, delivers, and operates backend solutions across the SDLC. Advises management, mentors junior engineers, makes technical decisions, and applies best practices. Works with Python frameworks (Django/Flask), web services/SOA, version control, databases, messaging systems, cloud/IaC, CI/CD, automated testing, and observability to build scalable payment platform features.

Lead complex risk management projects, identify and analyze operational risks, develop and implement mitigation and compliance strategies, assess business trends, and drive global process improvements through project management and stakeholder engagement.

Lead development and execution of PayPal Spain's partnership marketing: design and run consumer-facing co-marketing campaigns with merchants, own strategy, negotiation, execution across CRM, paid media and merchant channels, manage budget, track performance and ROI, analyze trends, lead cross-functional teams and mentor junior marketers.

The Paid Media Marketing Manager will develop omnichannel campaigns, optimize strategies using data, collaborate cross-functionally, and report campaign performance. Responsible for shaping PayPal's media strategies and driving impact across brand and performance objectives.

Lead controllership for PayPal Europe, ensuring financial integrity, regulatory and statutory compliance, governance, controls, audits, and regulatory reporting. Manage CoE oversight, drive issue resolution, present to Boards, and partner cross-functionally on transformations and prudential requirements.

Lead initiatives for the enterprise open banking product team at PayPal, focusing on technical and business requirements, while driving execution and collaborating with various internal teams.

The Principal Engineer for Agentic Systems enhances software engineer productivity, sets technology roadmaps, mentors staff, and influences business strategy in PayPal's agentic platform development.

Lead BNPL risk strategy governance, ensuring internal control processes, compliance with regulations, and oversight across credit, fraud, and collections.

The role involves leading developer platforms at PayPal, overseeing strategies for API and SDK development, and fostering developer relationships while ensuring alignment with business goals.

Drive the vision and development of machine learning models and algorithms, collaborating with teams and deploying solutions for business insights.

The Senior Manager of Internal Controls leads the internal controls program, overseeing risk management and compliance activities while advising senior stakeholders on actionable insights and automating processes.

The Senior Manager of Accounting Governance oversees governance across accounting operations, manages teams, and ensures compliance with SOX and internal controls while partnering with business leaders.

Design, implement, automate, and operate Venmo data infrastructure and streaming platforms. Build scalable data pipelines, provisioning, monitoring, and message streaming solutions (AWS SQS, Kafka). Support databases/NoSQL, create large datasets, troubleshoot production issues, collaborate with product, engineering, and analytics teams, and deliver tools for data-driven insights.

Manage data science projects, develop data models, analyze datasets to identify insights, and mentor junior scientists while ensuring data quality.

Lead end-to-end development and production deployment of machine learning models for fraud detection: preprocess large datasets, engineer features, build and monitor models on cloud platforms, collaborate with product and engineering, mentor junior staff, and establish data science best practices and governance.