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3 Days Ago
San Jose, CA, USA
34,450 Employees
73K-176K Annually
Senior level
34,450 Employees
73K-176K Annually
Senior level
Fintech • Payments
The Senior Backend Software Engineer at PayPal will design, develop, and optimize scalable backend systems to support millions of transactions daily. This role involves collaborating with cross-functional teams to deliver high-quality products in an agile environment, ensuring excellence in code quality and customer focus.
3 Days Ago
San Jose, CA, USA
34,450 Employees
107K-260K Annually
Mid level
34,450 Employees
107K-260K Annually
Mid level
Fintech • Payments
The AI Product Manager will lead product initiatives focused on AI technologies and personalization capabilities. Responsibilities include defining the product vision and roadmap, executing strategies to enhance merchant engagement, and utilizing AI to improve operational efficiency for small businesses.
3 Days Ago
San Jose, CA, USA
34,450 Employees
73K-176K Annually
Senior level
34,450 Employees
73K-176K Annually
Senior level
Fintech • Payments
As a Senior Software Engineer at PayPal for the Venmo Payments and Disputes Engineering team, you will develop high-level designs for complex systems, write and optimize scalable code, and propose innovative solutions. You will collaborate with various teams to ensure timely delivery of software components.
3 Days Ago
San Jose, CA, USA
34,450 Employees
73K-176K Annually
Mid level
34,450 Employees
73K-176K Annually
Mid level
Fintech • Payments
As an iOS Software Engineer at PayPal, you'll design, develop, and optimize complex mobile features for iOS platforms, collaborating with cross-functional teams to create high-quality products that enhance customer experience and drive business growth.
3 Days Ago
San Jose, CA, USA
34,450 Employees
107K-260K Annually
Senior level
34,450 Employees
107K-260K Annually
Senior level
Fintech • Payments
The Sr. Manager of AI/ML products will define and lead the AI/ML portfolio, manage a global team of Technical Product Managers, and drive integration across the organization while influencing AI strategy and delivering AI solutions.
3 Days Ago
San Jose, CA, USA
34,450 Employees
97K-234K Annually
Mid level
34,450 Employees
97K-234K Annually
Mid level
Fintech • Payments
As an iOS Software Engineer at PayPal, you'll be responsible for designing, developing, and optimizing core systems for iOS platforms. You'll work on high-impact mobile applications that enhance the customer experience and drive business growth.
3 Days Ago
San Jose, CA, USA
34,450 Employees
107K-260K Annually
Senior level
34,450 Employees
107K-260K Annually
Senior level
Fintech • Payments
As a Product Design Lead for Venmo, you will guide a design team to enhance user experiences, collaborating closely with product and engineering teams to establish strategy and roadmap, while engaging with leaders across functions for optimal results.
3 Days Ago
Scottsdale, AZ, USA
34,450 Employees
Senior level
34,450 Employees
Senior level
Fintech • Payments
As a Senior Database Automation Engineer, you will manage database infrastructure, automate provisioning, implement security policies, and optimize database performance, ensuring reliability for PayPal's mission-critical systems. You'll work with various tools and languages to support databases and lead engineering efforts in a collaborative environment.
3 Days Ago
San Jose, CA, USA
34,450 Employees
85K-234K Annually
Senior level
34,450 Employees
85K-234K Annually
Senior level
Fintech • Payments
The Staff Android Engineer will lead the development of PayPal's native consumer apps, translate complex business requirements into actionable tasks, and improve app quality and performance to enhance the user experience.
3 Days Ago
San Jose, CA, USA
34,450 Employees
97K-234K Annually
Senior level
34,450 Employees
97K-234K Annually
Senior level
Fintech • Payments
Responsible for developing product vision and strategy for the AI/ML platform, collaborating with stakeholders, and executing product initiatives to support AI-based personalization. Engage with data scientists and engineers to onboard new AI business cases and optimize platform performance.
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