

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

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:
Demonstrated expertise in learning product management, curriculum architecture, and multi-modal instructional design.
Strong analytical skills with experience in measuring and reporting on learning impact.
Experience managing vendors and learning platforms to support scalable program execution.
Own the learning portfolio roadmap, defining priorities, sequencing, and lifecycle management of programs based on business demand, learner insights, and performance data.
Apply product-management principles to learning solutions iterating based on feedback, piloting new approaches, and ensuring scalability and continuous improvement.
Partner with data, analytics, and technology teams to measure portfolio performance, identify capability gaps, and inform future learning investments and innovation priorities.
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 $84,500 to $140,250
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:
Proven track record of leading cross-functional groups and delivering results in fast paced, high-growth, and matrixed environments
Deep empathy and appreciation of customer needs
Demonstrated success delivering 0-1 products as well as scaling existing products
Ability to grasp complex business/technical concepts, user scenarios, and business drivers, address ambiguity and make informed decisions
Exceptional written, verbal, and listening communication skills and proficient communicating across a range of stakeholders
Demonstrates strong analytical skills with a proven track record of leveraging quantitative data and metrics to inform product strategy and prioritize initiatives
Has hands-on experience designing, implementing, and analyzing A/B tests to validate hypotheses and optimize product performance
Proven track record multitasking and managing multiple releases concurrently
A team player who puts people first and wants to win as a team
Preferred Requirements
Advanced or master’s degree
Prior experience at a FinTech or in the financial services space. We will also consider candidates with prior experience in credit, lending and adjacent domains.
Experience launching and operating financial products in global markets
Experience using AI to improve the effectiveness and efficiency of product delivery
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 $143,500 to $212,850
Belonging at PayPal:
Any general requests for consideration of your skills, please
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:
Product Change Review & Quality Assurance
Risk Assessment & Control Management
Product Risk Advisory
Audit & Regulatory Engagement
Reporting & Stakeholder Communication
Cross-Functional Leadership
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:
Expected Qualifications:
Key Responsibilities
Ideal Experience
Critical Leadership Capabilities
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 $212,850P
Our Benefits:
Any general requests for consideration of your skills, please
to view the notice.
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