

Essential Responsibilities:
Minimum Qualifications:
Additional Responsibilities & Preferred Qualifications
MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelor's degree in engineering, science,statisticsor mathematics witha strongtechnical background in machine learning.
Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, Big-Query, SQL, isrequired
possessa comprehensive understanding of machine learning algorithms and explainable AI techniques. Additionally,expertisein at least one of the following specialized areas isrequired: Computer Vision, Graph Mining, Natural Language Processing (NLP), or Generative AI (GenAI
Experience with Cloud frameworks such asGCP,AWS is preferred.
Experience withdeveloping machine learning modelsat scale frominceptionto business impact
Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring
xperience inmentoringand supporting junior data scientists or engineers
Experience working in a multi-cultural and multi-location organization – an advantage
, outstanding communication skills
Good to Have:
withapplying LLMs, prompt design, and fine-tuning methods
withdeveloping Gen AIapplications/servicesfor sophisticated business use cases andlarge amountsof unstructured data.
Knowledge of Payments industry, transaction risk domain.
Publications in prominent journals or conferences in the field of AI or successful AI/ML-related patent applications
Our Benefits:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך

Essential Responsibilities:
Expected Qualifications:
Additional Responsibilities & Preferred Qualifications:
Minimum Qualifications:
Preferred Qualifications:
What you need to know about the role
If you bring innovative approaches to solving complex security challenges and want to shape the future of product security at global scale, this role is for you.
Responsibilities will be tailored based on business need, experience, and interest. In your day-to-day role, here are some activities you may be involved in:
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $152,500 to $262,350
Belonging at PayPal:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך

Essential Responsibilities:
Expected Qualifications:
Additional Responsibilities & Preferred Qualifications:
Advanced degree (Master's or Ph.D.) in Data Analytics, Psychology, Human-Computer Interaction, Statistics, Economics, or related quantitative field
Deep expertise in statistical analysis, predictive modeling, and advanced quantitative research methods
Proficiency in analytical tools including SQL, Python, R, SAS, and visualization platforms like Tableau or Power BI
Experience with customer experience platforms, survey tools (Qualtrics), and large-scale data collection methodologies
Strong understanding of experimental design, A/B testing, and longitudinal research approaches
Expert ability to design, execute, and analyze complex quantitative research studies aimed at understanding and measuring customer experience
Proven track record of translating large datasets into strategic insights and actionable recommendations
Experience building and maintaining measurement frameworks that scale across global organizations
Strategic mindset with exceptional communication and stakeholder management skills
Demonstrated ability to influence senior leadership and drive organizational change through data-driven insights
Experience mentoring and developing research capabilities across teams
Proven ability to present complex quantitative findings in compelling, accessible formats
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $152,500 to $262,350P
Belonging at PayPal:
Any general requests for consideration of your skills, please
to view the notice.
משרות נוספות שיכולות לעניין אותך

Essential Responsibilities:
Expected Qualifications:
Additional Responsibilities & Preferred Qualifications
To successfully execute on cross-org initiatives that elevate data engineering, we need a T27 who can innovate, drive technical strategy, and ensure that our systems are scalable, efficient, and aligned with GCSC Risk’s broader goals.
As the Senior Staff Engineer, Global Risk Data Management within the Credit Infrastructure and Data organization, you will implement common data practices across functional areas that drives standardization, quality, ease of access, accelerates governance practices by treating data as a product and facilitates a data-driven culture across PayPal where data is considered a strategic asset and treated accordingly-with the proper controls and quality.
Position Responsibilities:
Must be a self-starter, work independently or as a team member. Proactively remove obstacles to ensure timely delivery of product and goals
Write clean and solid code that scales overPB of dataand enforce engineering excellence in the organization
Improve data management efficiency through AI capabilities, better process and best practices
Embed Privacy-by-Design principles into all data solutions and ensure compliance with regulatory requirements.
Provide expertise across the data product development lifecycle—spanning data engineering, architecture, and analytics—to design and deliver reusable, accessible, and high-quality data solutions.
Design data structures and taxonomies that support standardization, integration, and alignment with business processes.
Deliver technical leadership through analytical thinking, innovation, and detailed specifications.
Drive data product execution and adoption through a metrics-based approach
Define and communicate data strategy for credit products, aligned with PayPal’s technical direction, evolving credit strategies, and the external data ecosystem
Strong product sense to identify data challenges and opportunities, and assess the impact of data-driven solutions
Leverage enterprise frameworks, governance tools, and reusable architecture patterns for Credit Risk and cross organizations
Foster influential cross-functional relationships through collaboration, proactive planning, and decisive leadership to design scalable solutions across platforms and products.
Technical Leadership Qualities:
Strong collaboration skills and ability to influence across all organizations and levels within the company
Ability to communicate clearly and succinctly to all levels within the organization- translating the organizations goals into execution plans & metrics
Possess the ability to connect, engage and lead with empathy
Motivate others through a shared vision and confidence that empowers employees and teams to perform at their best
Demonstrate ability to delegate work
Operate with transparency and honesty in all interactions
Qualifications
12+ years of experience in enterprise data management, with deep expertise across disciplines including data governance, data architecture, and more.
Experience with data management and governance tools and technologies
Experience with enabling data products within large organizations
Proven experience independently developing and implementing recommended approaches to complex/ambiguous problems while making thoughtful trade-offs
Deep understanding and hands-on experience in data platforms
Strong technical acumen, being able to quickly understand technical details of a product or platform
Strong execution skills-ability to deliver results
Excellent verbal and written communication and collaboration skills to effectively communicate across diverse groups within PayPal
Comfortable working in a fast-paced, results-oriented environment
Shows initiative and exhibits a “can-do” attitude
Demonstrated willingness to be flexible and adaptable to changing priorities with the ability to motivate in a cross-functional organization
Able to see the “big picture”-the end-to-end connection points associated with data and systems
Exhibit a passion for Data Management and Analytics
Strong business acumen and interest to deeply understand PayPal’s credit use cases, data producers and data consumers’ needs/pain points
Bonus Qualifications
Familiarity with AI/ML pipelines or AI-enhanced data systems (data discovery, data quality monitoring, or integrating ML into ETL flows)
Passion for bridging the gap between data engineering and machine learning engineering.
Experience enabling ML/AI workloads, such as building feature stores, training data pipelines, or model monitoring infrastructure.
Experience in financial services, with a strong preference for exposure to the credit risk domain.
Education:
BS or advanced degree in Engineering, Computer Science, or related technical field.
Our Benefits:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך

Essential Responsibilities:
Expected Qualifications:
What You’ll Do
Build, test, and ship web features for
Design and maintain backend services (Node.js, Python, GraphQL) that power those experiences.
Champion performance and accessibility; measure what matters and keep our pages fast for every user.
Help modernize our stackmoving to server‑side rendering with React Server Components, rolling out edge caching, and tightening DevOps pipelines.
Set clear engineering standards around testing, observability, and incident response.
Pair with product, design, compliance, and data teams to turn fuzzy ideas into shipped features.
Mentor other engineers through code reviews, design sessions, and thoughtful feedback.
Explore ways AI can improve both the developer workflow (AI‑pairing, code generation) and the end‑user experience (personalized offers, smarter search).
What We’re Looking For
8+ years building production web applications, with at least 2 years at senior or staff level.
Deep knowledge of modern React (hooks, context, Suspense) and TypeScript.
Experience designing or evolving backend APIsREST and GraphQLand the services behind them.
A track record of raising the technical bar: introducing better architecture patterns, automated tests, and code‑review culture.
Familiarity with build and deploy tooling (Webpack/Vite, CI/CD, containerization, cloud services).
Comfort navigating ambiguity and explaining trade‑offs in plain language to both technical and non‑technical partners.
An inclusive mindsetyou help teammates grow and make decisions that serve a diverse user base.
Nice to Have
Payments, risk, or fintech domain experience.
Prior work on design systems or component libraries.
Exposure to edge computing or serverless architectures (Cloudflare Workers, AWS Lambda).
Contributions to open‑source projects, conference talks, or technical writing.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $152,500 to $262,350
Our Benefits:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך

Essential Responsibilities:
Expected Qualifications:
1. AI-Enabled Workflow Architecture
Map and re-design design-to-delivery workflows,identifyingwhere automation and intelligence can remove friction or unlock new capability.
Prototype AI-assisted processes for design QA, accessibility, content creation, and portfolio planning.
Partner with Design Ops and Finance to integrate data pipelines linking Asana, Jira, Figma, and Workday into the AI-Planning system.
2. Experience Intelligence Hub
Lead the concept and technical prototype of the
Define taxonomy, metadata, and data flows between XD, Research, and Product Analytics.
Partner with AI Platform teams to safely expose and visualize insights for design use.
3. Systems Innovation
Work with the VP Platforms & Tools and Senior Director, Experience Architecture to connect system design, service blueprints, and experience data models.
Introduce intelligent pattern libraries that adapt based on usage and performance signals.
Prototype AI copilots and plugins that bring intelligence into daily design workflows.
4. Capability & Enablement
Coach cross-functional partners on AI-native ways of working; create documentation and proof points that scale adoption.
automationmaturity and capability development.
Partner with the CDO Office to quantify ROI and efficiency gains from automation pilots.
5. Cross-Functional Collaboration
Operate across Design, Product, Engineering, Data Science, and Finance.
Translate technical possibilities into design outcomes — showing, not telling, what intelligence-driven design looks like in practice.
Qualifications
10–15 years blending design, engineering, and systems work (e.g., design technologist, systems designer, creative technologist, or principal IC).
Strong command of modern product toolchains: Figma,Replit, Cursor, Jira, Confluence, Workday, and APIs.
Demonstrated experience integrating AI/ML models, building plugins or workflow automations.
Fluency inJavaScript/TypeScriptor Python; ability to prototype intelligent tools.
thinkerwho can visualize systems and communicate them clearly to executives.
in ambiguous environments and can independentlyidentifyleverage points for change.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $188,000 to $323,950
Our Benefits:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך

Essential Responsibilities:
Expected Qualifications:
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $100,500 to $173,250
Our Benefits:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך

Essential Responsibilities:
Minimum Qualifications:
Additional Responsibilities & Preferred Qualifications
MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelor's degree in engineering, science,statisticsor mathematics witha strongtechnical background in machine learning.
Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, Big-Query, SQL, isrequired
possessa comprehensive understanding of machine learning algorithms and explainable AI techniques. Additionally,expertisein at least one of the following specialized areas isrequired: Computer Vision, Graph Mining, Natural Language Processing (NLP), or Generative AI (GenAI
Experience with Cloud frameworks such asGCP,AWS is preferred.
Experience withdeveloping machine learning modelsat scale frominceptionto business impact
Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring
xperience inmentoringand supporting junior data scientists or engineers
Experience working in a multi-cultural and multi-location organization – an advantage
, outstanding communication skills
Good to Have:
withapplying LLMs, prompt design, and fine-tuning methods
withdeveloping Gen AIapplications/servicesfor sophisticated business use cases andlarge amountsof unstructured data.
Knowledge of Payments industry, transaction risk domain.
Publications in prominent journals or conferences in the field of AI or successful AI/ML-related patent applications
Our Benefits:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך