Overview
Technical Program Manager III in the Checkout Organization, Technology group, owning end-to-end delivery of medium-to-complex, cross-team programs for the Modern Checkout platform.
What you'll do
- Lead the planning and delivery of complex technical programs, coordinating cross-functional teams to achieve measurable business and engineering outcomes.
- Translate strategic objectives and product requirements into integrated program plans, milestones, dependencies, and execution priorities.
- Drive program-level technical alignment across engineering, product, design, and partner teams, supporting decisions related to system design, APIs, data, and delivery approaches.
- Manage risks, issues, dependencies, and trade-offs across multiple workstreams, using data and operational insights to improve predictability and execution quality.
- Establish governance, communication, reporting, and operating mechanisms that enable transparent decision-making and reliable delivery across technical domains.
- Safely integrate and operate AI/ML-enabled solutions that improve program, product, and engineering outcomes, applying foundational AI/ML concepts to real-world products and workflows.
What you'll need
- Bachelor's degree in Computer Science, Engineering, Business, or a related field, or equivalent practical experience.
- 5+ years of experience in technical program management, software engineering, product development, or a related technical discipline.
- Experience owning complex programs or portfolios involving multiple teams, services, or technical domains from planning through delivery and operational support.
- Technical proficiency in software development lifecycles, system design concepts, APIs, data models, testing, deployment, and production operations.
- Demonstrated ability to manage cross-functional execution, resolve risks and dependencies, communicate with technical and non-technical stakeholders, and make data-informed decisions.
Nice to have
- Experience delivering complex, multi-service technical programs at scale with a strong focus on operational excellence, reliability, security, and customer outcomes.
- Demonstrated ability to influence architecture and technical decisions across multiple teams or domains without direct authority.
- Experience establishing metrics, dashboards, and feedback mechanisms to diagnose execution challenges and improve program predictability and delivery performance.
- Practical experience using AI-assisted program and engineering tools or applying AI/ML concepts to improve product capabilities, delivery workflows, risk management, or business outcomes.
- Experience safely integrating, monitoring, and operating AI/ML-enabled initiatives across technical programs, with appropriate attention to reliability, governance, and measurable impact.
Read the full description and apply on the company’s own careers page.