1 day ago
Base Salary
$246k - $334k/yr
Responsibilities
- Lead the design, development, and implementation of AI-driven software applications and personalization features.
- Build scalable, personalized applications using real-time data, behavioral analytics, recommendation systems, and AI-driven decisioning.
- Architect cloud-native distributed systems that balance performance, reliability, security, and rapid experimentation.
- Drive adoption of shared personalization frameworks and reusable tools across engineering teams.
- Establish long-term technical strategy for the personalization platform and make architectural decisions spanning multiple teams.
- Develop and operate machine learning models, LLM-based systems, and real-time decisioning capabilities in production.
- Design event-driven architectures, shared backend platforms, APIs, observability solutions, and reusable frameworks.
- Deliver high-quality production software and automated tests in a continuous integration and delivery environment.
- Partner with product management, mentor engineers, and influence cross-functional stakeholders on technical trade-offs.
Requirements
- Bachelor’s degree or foreign equivalent in Computer Science, Software Engineering, or a closely related field.
- At least 12 years of progressively responsible experience in the job offered or a related occupation.
- Eight years of experience designing and developing large-scale software applications using object-oriented design, Java, Spring, and related enterprise frameworks.
- Eight years of experience designing and operating highly available, scalable, fault-tolerant distributed systems using microservices architectures.
- Eight years of experience designing service-oriented and API-based architectures using REST and GraphQL, including schema design and API governance.
- Eight years of experience building shared backend platforms and reusable frameworks for multiple engineering teams.
- Seven years of experience with Docker, Kubernetes, and cloud-native systems deployed on Google Cloud Platform.
- Seven years of experience with real-time event-driven architectures and messaging or streaming technologies such as Apache Kafka or AMQ.
- Seven years of experience with large-scale customer data, behavioral analytics, feature engineering, distributed data processing, and cloud-based data services.
- Six years of experience developing personalization and recommendation systems using rule-based systems, machine learning, ranking, and decisioning logic.
- Five years of experience deploying and operating machine learning models in production using platforms such as Google Vertex AI.
- Five years of experience designing AI-driven decisioning systems using predictive models, real-time context, and experimentation frameworks.
- Four years of experience developing and integrating LLM-based systems with prompt orchestration, tool or function calling, and production evaluation.
- Six years of experience designing observability solutions for distributed systems, including logging, metrics, tracing, alerting, and reliability monitoring.
- Six years of experience designing AI-powered systems with privacy, security, explainability, and governance requirements in regulated environments.
- Five years of experience driving cross-organizational technical strategy, mentoring engineers, and influencing stakeholders on system design and personalization practices.
- Must be legally authorized to work in the United States without sponsorship.
Benefits
- Expected base salary is $246,305–$333,500 per year for the New York, NY location, with possible additional bonus, equity, or incentive compensation.
- Partial telecommuting is permitted from within a commutable distance.
- PayPal’s balanced hybrid model generally includes three days in the office and two days at the office or home workspace.
- Benefits include paid time off, healthcare coverage, financial security resources, and mental health support.
- The role is scheduled for 40 hours per week, Monday through Friday, 9:00 a.m. to 5:00 p.m.
- Travel requirement is 0 percent.
Tech Stack
Categories
About PayPal
PayPal builds digital payments platforms for consumers and merchants, including PayPal, Venmo, and Xoom, supporting online, in‑app, and in‑person checkout and peer‑to‑peer transfers. It earns primarily from transaction and merchant processing fees, plus value‑added services such as risk management and branded credit. Founded in 1998 and headquartered in San Jose, California, PayPal operates in roughly 200 markets and is a public company traded on NASDAQ.