

Essential Responsibilities:
Expected Qualifications:
Your day-to-day
In your day-to-day role, you will:
What do you need to bring
Our Benefits:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.
Why This Role MattersEssential Responsibilities:
Expected Qualifications:
Additional Responsibilities & Preferred Qualifications
At PayPal, we build products that empower millions to manage and move money with confidence. Our Consumer Experiences team is at the core of that mission—powering the PayPal app and website to deliver seamless, secure, and human-centered experiences.looking for a Senior Staff Technical Program Manager to drive complex, cross-functional initiatives that accelerate product delivery and platform evolution. This is a high-impact leadership role for someone whowith strategic intent, and earns trust through execution.
Your Day-to-Day
Drive end-to-end delivery of mission-critical consumer programs—setting goals, aligning milestones, and mobilizing execution across teams.
Partner deeply with engineering and product leaders to translate ambitious ideas into well-sequenced technical workstreams.
Lead through influence across Consumer, Platform, Marketing, Design, and Data teams.
Anticipate technical dependencies, risks, and tradeoffs, and guide the program team through clear, scalable paths forward.
Create clarity where there’s ambiguity—using data, insight, and storytelling to inform executive stakeholders and enable smart decision-making.
Elevate the craft of program management by championing Agile,SAFe, and Lean practices, and mentoring fellow TPMs.
deliveryexcellence across globally distributed teams.
What You Bring
8+ years of relevant experience in technical program management or engineering, including experience at scale in consumer-facing tech.
Experience driving large-scale, cross-functional programs involving mobile apps, websites, backend systems, and APIs.
Strong technical fluency—you can navigate architecture conversations and partner credibly with engineers.
Deep understanding of Agile delivery practices and program governance at enterprise scale.
Exceptional communication, influence, and problem-solving skills across all levels of theorg.
Executive presence and ability to frame issues for senior leaders with clarity, context, and credibility.
Passion for consumer experiences, developer velocity, and cross-functional teamwork.
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
Travel Percent:
PayPal is committed to fair and equitable compensation practices.
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.
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 $262,350PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit.
to learn more about our culture and community.
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us.
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
Any general requests for consideration of your skills, please.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.
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:
Responsibilities:
Design, develop, and operationalize scalable machine learning and credit risk models, leveraging PySpark and advanced modeling frameworks.
Build, train, and optimize statistical and deep learning models focused on credit scoring, fraud detection, and portfolio risk management.
Collaborate cross-functionally with credit risk analysts, data engineers, and business teams to translate analytical requirements into production-grade credit modeling solutions.
Ensure model robustness, accuracy, and compliance through rigorous validation, back-testing, and performance monitoring.
Develop and maintain automated ML pipelines for data ingestion, feature engineering, model training, and deployment across large-scale credit datasets.
Implement and enhance MLOps practices, including model integration, model monitoring.
Research and experiment with innovative modeling techniques (e.g., gradient boosting, neural networks, graph-based learning) to improve credit decisioning capabilities.
Mentor junior team members, conduct peer code reviews, and promote engineering excellence within the credit modeling domain.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Statistics, or a related quantitative field.
6+ years of experience in machine learning model development and deployment, preferably in the financial services or credit risk domain.
Strong programming proficiency in Python and SQL, with hands-on experience using PySpark for large-scale data processing.
Deep understanding of ML frameworks such as TensorFlow, Keras, or PyTorch.
Expertise in distributed computing, scalable data pipelines, and model optimization techniques.
Proven experience deploying models in production cloud environments (AWS, GCP, or Azure).
Demonstrated ability to write clean, well-documented, and production-ready code.
Preferred Qualifications:
Experience in credit risk modeling.
Understanding of model governance frameworks, ML explainability (e.g., SHAP, LIME), and regulatory compliance.
Familiarity with feature store architectures, model drift detection, and automated model retraining workflows.
Knowledge of data privacy and compliance practices relevant to credit data.
Our Benefits:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך

Essential Responsibilities:
Expected Qualifications:
Our Benefits:
Any general requests for consideration of your skills, please
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:
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 $123,500 to $212,850
Our Benefits:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך

Essential Responsibilities:
Expected Qualifications:
Your day-to-day
In your day-to-day role, you will:
What do you need to bring
Our Benefits:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך