This job focuses on leveraging data to derive insights that align with the product’s shared vision and customer needs.
Compensation
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: San Jose, CA | Salary: $181,293.00-270,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
Responsibilities
Lead and drive product strategy and create capabilities that application teams can leverage to have a direct impact on PayPal end user experience
Evangelize product roadmap internally and externally in informal and formal settings
Build products by ensuring the right Data quality, governance, security, and regulatory policies are accounted for
Test new products by utilizing experience in database management, data steaming services, data analytics and visualization
Run lean experiments to inform future investment areas
Requirements
Master’s degree, or foreign equivalent, in Computer Science, Engineering, Information Systems, or a closely related field
Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, Information Systems, or a closely related field
This job will lead the development and implementation of advanced data science models and algorithms, focusing on Agentic Commerce, LLM platforms, and causal inference.
Compensation
The expected range of pay for this role by location is: $144,991.00-243,500.00 per annum.
Responsibilities
Design and execute controlled experiments to measure the effectiveness of PayPal's Agentic Commerce offering across LLM platforms.
Apply causal inference methodologies to attribute revenue and conversion changes to product features in AI-driven checkout flows.
Develop behavioral models to understand merchant and consumer interactions within conversational commerce environments.
Build measurement frameworks to track key performance metrics across growth, conversion, latency, availability, and friction for emerging AI commerce channels.
Collaborate with Product and Engineering teams to optimize the Agentic Commerce experience based on data-driven insights.
Requirements
Master’s degree, or foreign equivalent, in Computer Science, Engineering, Data Science, Statistics, or a closely related field
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
Locations (2)
Riverwoods, Illinois, United States
Chicago, Illinois, United States
Compensation
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Chicago, IL: $179,400 - $204,700 for Full-stack Engineer 4 Riverwoods, IL: $179,400 - $204,700 for Full-stack Engineer 4
Responsibilities
Lead a portfolio of diverse technology projects and a team of developers
Collaborate with digital product managers and deliver robust cloud-based solutions
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript
Provide technical leadership and direction across Agile teams
Partner with architects to define service boundaries, integration patterns, and reusable frameworks
Drive the development and deployment of enterprise data and AI products across RTX corporate functions, leading strategic initiatives and driving engagement using Agile methodologies.
Compensation
The salary range for this role is 132,400 USD - 251,600 USD.
Responsibilities
Lead complex, enterprise-scale data and AI initiatives from planning through development, deployment, and delivery across RTX corporate functions.
Partner with Enterprise Services and Business Unit teams to define data and AI priorities, align strategic objectives, and drive engagement and adoption of enterprise data products.
Collaborate with product owners, engineering teams, and business stakeholders to establish priorities, manage deliverables, and achieve Corporate Data Office objectives.
Lead Agile scrum teams, applying Agile methodologies and best practices to drive execution, accountability, and continuous delivery.
Provide hands-on technical expertise in designing, developing, and optimizing SQL stored procedures, views, and queries, including performance tuning across Databricks and Snowflake environments.
Serves as a strategic partner and analytics leader within Field Revenue Operations, leading high-impact reporting and analysis portfolios across Patient Education and Admissions domains.
Locations (2)
Denver, Colorado, United States
Colorado, United States
Compensation
The Salary Range for the role is $78,000.00 - $119,000.00 per year
Responsibilities
Partner with senior operational stakeholders to identify high-leverage business opportunities and translate ambiguous operational challenges into structured analytical projects.
Lead strategic storytelling and executive communications, synthesizing multi-layered data into clear executive narratives.
Drive prioritization across workstreams to ensure team priorities are aligned with core multi-year strategic objectives.
Oversee the end-to-end delivery of advanced analytics, performance scorecards, predictive models, and pilot measurement frameworks.
Drive operational rigor in evaluating strategic growth levers, including referral dynamics, conversion funnels, and payer mix opportunities.
Sr Product ManagerNewPayPal · San Jose, US