Ebay Senior Director CX Engineering 

United States, Texas, Austin 

658366570

You will be the architect and driver of , leading a global engineering organization of hundreds of people. Your directive is clear: simultaneously achieving a new global standard for This is a strategic CX Transformation role, not simply a maintenance role.

CX Technology and a critical partner to business executives, you will be responsible for the end-to-end engineering execution for how millions of buyers and sellers experience customer service at eBay.

• Develop multi-year strategy to shift service support from reactive to proactive automation, saving $X0M annually.

• Global Leadership & Scale: Lead, mentor, and scale a global organization of hundreds of engineers, product managers, and data scientists , fostering a culture of urgency, innovation, and customer-centricity.

• Business Partnership: Serve as the technology voice at the executive table, partnering with CX Operations, Product, and Marketing VPs to ensure a cohesive, unified customer experience that directly impacts Gross Merchandise Volume (GMV) and seller retention.

• Off-Track Project Recovery: Assume direct responsibility for critical off-track projects, offering strong technical mentorship and transparent communication to executive collaborators to regain delivery trust and business impact.

• Take charge of crafting high-level cases to illustrate the business impact of technical investments.

You will be leading the charge on a cutting-edge technical portfolio that defines the future of e-commerce service.

• Generative AI (GenAI) First: Drive the adoption, development, and responsible deployment of Generative AI and Large Language Models (LLMs) to automate agent workflows, power intelligent virtual assistants, and enable self-service at unprecedented scale and complexity.

• Platform & Data: Own the majority of the unified CX platform , encompassing all digital contact channels (web, app, social), CRM integrations, and the foundational Big Data infrastructure necessary for real-time personalization and predictive service.

• MLOPs & Data Science: Establish a world-class MLOPs practice for the rapid iteration, deployment, and monitoring of Machine Learning models that predict customer needs and automate resolution.

• Modern Cloud Architecture: Ensure the entire stack operates on a scalable, resilient Cloud Infrastructure , adhering to industry-leading standards for security, uptime, observability, and efficiency.

You are a decisive, inspiring, and business-focused Engineering Executive Leader who understands that technology is the engine of competitive advantage.

• Business Insight: You don't just write code; you write business strategy. You can quantify engineering success in terms of P&L impact, customer lifetime value (CLV), and operational efficiency.

• Demonstrate Influence: Proven success in persuading VPs and leaders to drive strategic changes using data and compelling reasons.

• Crisis & Conflict Navigator: You excel at navigating challenging discussions with collaborators, team members, and partners without intensifying tension, transforming conflicting scenarios into constructive agreements.

• Customer-Centric Engineer: You have a missionary zeal for customer-centricity and a demonstrated ability to train and motivate engineering teams to deeply understand the user journey and build empathy into their products.

• Transformation Agent:

• 15+ years of progressive experience in software engineering and technology, with at least 8+ years in Executive Leadership / Senior Director roles managing large, global teams.

• Deep foundational expertise in Java/J2EE development, object-oriented design, data structures, and algorithms, demonstrated through leadership over complex, high-transaction, multi-tier software applications.

• Demonstrated experience integrating Generative AI, Machine Learning, or complex NLU/NLP solutions into production, driving measurable business results.

• Demonstrated expertise in coordinating the development of large-scale distributed systems or applications for data processing. Knowledge of technologies like Hadoop, HBase, Spark, Docker, and Kubernetes is a significant advantage.

• Deep domain expertise in Customer Experience (CX) Technology , Contact Center solutions at massive scale (e.g., $50B+ annual GMV organization).

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field with equivalent experience.

• Outstanding ability to communicate, present, and negotiate highly technical strategy to non-technical executives and C-suite audiences.

The base pay range for this position is expected in the range below: