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Technical Vision & Strategy:
Define and drive the long-term technical vision, roadmap, and architecture for the engineering organization.
Align engineering strategy with overall business goals and product vision.
Evaluate and recommend new technologies, tools, and methodologies.
Ensure technical decisions support scalability, reliability, security, and maintainability.
Team Leadership & Management:
Lead, mentor, and grow multiple Engineering Managers and/or Team Leads.
Oversee the hiring, onboarding, performance management, and career development of engineering staff (including managers and senior ICs).
Foster a high-performing, collaborative, innovative, and inclusive engineering culture.
Build and maintain team morale, engagement, and retention.
Delivery & Execution:
Oversee the planning, execution, and timely delivery of complex software projects across multiple teams.
Ensure teams adhere to best practices (coding standards, code reviews, testing, CI/CD).
Manage engineering budgets, resource allocation, and capacity planning.
Track key performance indicators (KPIs) related to delivery velocity, quality, and system health
Process & Operational Excellence:
Establish, optimize, and standardize engineering processes (SDLC, Agile/Scrum/Kanban, release management, incident response).
Drive continuous improvement in engineering efficiency, productivity, and quality.
Implement and monitor metrics to measure team and organizational performance.
Cross-Functional Collaboration:
Partner closely with Product Management, Design, Data Science, Security, and IT/Operations to define requirements, prioritize work, and ensure successful product delivery.
Collaborate with senior leadership (Sr. Directors, other Directors, Executives) on strategic initiatives and company-wide goals.
Represent the engineering organization in cross-functional meetings and strategic discussions.
Technical Oversight & Quality:
Provide high-level technical guidance and oversight across projects.
Champion software quality, best practices, and operational reliability (e.g., SLOs, SLIs).
Ensure systems are designed for scalability, performance, and cost-efficiency.
Manage technical debt and advocate for necessary refactoring/infrastructure investments.
Resource Management:
Growing your team through coaching, mentoring
Forecast hiring needs and participate in recruitment strategy.
10+ years of software engineering experience, with 5+ years in direct people management and 3+ years managing other managers.
Master's degree in Computer Science, or Bachelor's degree with equivalent experience
Proven ability to lead, inspire, mentor, and grow large engineering teams and managers. Strong coaching skills.
Significant hands-on technical background (software development, architecture, systems design). Ability to understand complex technical challenges and trade-offs deeply, even if not coding daily.
Ability to set technical vision, translate business strategy into engineering execution, and make long-term architectural decisions.
Proven track record of shipping complex, high-quality software products at scale. Expertise in Agile methodologies.
Exceptional written and verbal communication skills. Ability to articulate complex technical concepts to both technical and non-technical audiences (including executives).
Excellent interpersonal and stakeholder management skills. Ability to build strong cross-functional partnerships.
Strong analytical and critical thinking skills. Ability to navigate ambiguity and make sound decisions under pressure.
Experience establishing processes, metrics, and driving continuous improvement.
Preferred Qualifications:
Experience in the company's specific industry (e.g. E-commerce).
Experience scaling engineering organizations during rapid growth.
Experience managing distributed/remote teams.
The base pay range for this position is expected in the range below:
$233,200 - $311,300These jobs might be a good fit

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As a Senior Product Manager, you will define and lead the strategy for how we design, build, and scale AI-powered help experiences. You will work closely with design, engineering, data science, and operations to turn emerging AI capabilities into simple, trusted, and impactful products for customers and the business.
What You Will Accomplish:
Define the product strategy, roadmap, and execution for AI Agents and composable AI platforms.
Use data and experimentation to guide decisions, measure impact, and drive continuous improvement.
Turn customer and business needs into clear, actionable product direction and requirements.
Bring data, insights, and industry trends to inform and improve the product experience.
Partner closely with design, engineering, and data science to deliver reliable, high-quality products at scale.
Build alignment and strong partnerships across teams to stay focused on shared goals.
Keep the customer at the center of every product decision.
What You Will Bring:
6+ years of product management experience, with at least 2 years in AI/ML or data-driven products.
Experience applying AI to improve customer experiences and solve real customer problems (e.g., conversational AI).
Skilled at using data and insights to uncover opportunities, drive prioritization, and measure success.
Technical fluency and foresight to collaborate with engineers.
High ownership mindset with a bias for action and focus on creating customer and business impact.
Exceptional leadership, communication, and collaboration skills across technical and non-technical teams.
Experience building 0→1 products and navigating ambiguity with confidence.
Experience in customer support or self-service domains is a plus but not required.
The base pay range for this position is expected in the range below:
$124,000 - $208,300These jobs might be a good fit

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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.
What You Will OwnCX 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:
$202,800 - $305,400These jobs might be a good fit

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What you will accomplish:
provide a comprehensive, 360 view of each customer
Provide thought leadership on the customer segmentations and predicted signals that eBay needs to develop , based on internal and external customer data and developed using machine learning methods
Provide strategic direction to build a modern, sustainable data program in collaboration with the data management and architecture teams, to serve as the foundation for our customer-centric efforts and external data sharing strategy
Understand eBay’s internal data structure (domain owners, stewards etc.), internal data usage, and external data sharing risks and tie it back to the business needs
Lead the creation of regular updates to the executive leadership team and throughout the eBay global business on the health of the eBay customer base, spotting the opportunity areas and working with partners to drive strategies that help eBay grow
Collaborate closely with technology and data platform teams
What you will bring:
8+ years of experience in Customer data science, customer strategy and/or product roles, including 5+ years leading teams
Master’s degree or equivalent experience or above in a quantitative field, e.g., statistics, mathematics, physics, computer science, economics, engineering.
Consistent track record building analytical products and customer data-science driven programs
Strong expertise in customer data, customer analytics and quantitative analysis approaches, including experience evaluating ML models with custom metrics and robust frameworks
Deep understanding of data governance methodologies
High-reaching, self-starter attitude; able to adapt to emerging challenges and implement under ambiguity.
Experience with LLMs, prompt engineering, and RAG techniques (preferred)
The base pay range for this position is expected in the range below:
$218,400 - $291,600These jobs might be a good fit

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This role requires a unique product leader who can successfully navigate an ambiguous, fast-paced environment. You will be responsible for defining and delivering high-impact features across the entire live commerce journey, including the foundational technology platform, the global buyer experience, and the tools sellers use to broadcast, engage, and monetize their live streams. If you thrive on significant ownership, high visibility, and the chance to build the future of e-commerce, this is the role for you.
What you will accomplish:
Serve as a visionary leader for your product space within live commerce, developing a strategy and roadmap that aligns with eBay's top-level goals. This requires blending deep customer empathy with an understanding of market trends, business goals, and competitive insights.
Drive the full product lifecycle for multiple features or a major product initiative, from initial discovery and opportunity sizing to launch, iteration, and post-launch analysis.
Own and deliver a challenging product roadmap on time, demonstrating a strong bias for action and high-quality outcomes. You will write clear, detailed requirements (PRDs) that prioritize hypotheses for testing and iteration.
Lead and inspire confidence among a wide range of partners, including engineering, design, data science, research, and marketing. You will foster collaboration, build alignment, and drive shared goals across all stakeholders.
Define key success metrics, leverage data and analytics to quantify customer problems, size opportunities, and ultimately measure the impact of your work on organizational goals.
Cultivate a knowledge of the technical architecture and backend systems for your product area to effectively partner with engineering, unblock development, and influence technical decisions.
What you will bring:
8+ years of product management or related strategy experience, with e-commerce, video, or social commerce experience highly preferred.
Bachelor’s degree required; MBA or relevant advanced degree preferred.
Ambiguity Management: Exceptional ability to thrive in an ambiguous, 0-1 environment, distilling complex, unclear problems into a clear product vision and actionable roadmap.
Prioritization and Tradeoffs: Demonstrated ability to evaluate options, assess trade-offs (short-term vs. long-term), and recommend a path forward, even with incomplete data.
Influence & Communication: Masters written and verbal communication, adapting your message to influence both execution teams and executive leadership. Ability to lead and inspire without direct authority.
Analytical Rigor: Proven ability to use quantitative and qualitative insights to build strong business cases, define necessary data, and measure product performance.
The base pay range for this position is expected in the range below:
$178,400 - $238,200These jobs might be a good fit

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Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.
The base pay range for this position is expected in the range below:
$205,600 - $274,500These jobs might be a good fit

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What you will accomplish:
What you will bring:
Qualification Preferences:
The base pay range for this position is expected in the range below:
$108,400 - $186,400These jobs might be a good fit

Technical Vision & Strategy:
Define and drive the long-term technical vision, roadmap, and architecture for the engineering organization.
Align engineering strategy with overall business goals and product vision.
Evaluate and recommend new technologies, tools, and methodologies.
Ensure technical decisions support scalability, reliability, security, and maintainability.
Team Leadership & Management:
Lead, mentor, and grow multiple Engineering Managers and/or Team Leads.
Oversee the hiring, onboarding, performance management, and career development of engineering staff (including managers and senior ICs).
Foster a high-performing, collaborative, innovative, and inclusive engineering culture.
Build and maintain team morale, engagement, and retention.
Delivery & Execution:
Oversee the planning, execution, and timely delivery of complex software projects across multiple teams.
Ensure teams adhere to best practices (coding standards, code reviews, testing, CI/CD).
Manage engineering budgets, resource allocation, and capacity planning.
Track key performance indicators (KPIs) related to delivery velocity, quality, and system health
Process & Operational Excellence:
Establish, optimize, and standardize engineering processes (SDLC, Agile/Scrum/Kanban, release management, incident response).
Drive continuous improvement in engineering efficiency, productivity, and quality.
Implement and monitor metrics to measure team and organizational performance.
Cross-Functional Collaboration:
Partner closely with Product Management, Design, Data Science, Security, and IT/Operations to define requirements, prioritize work, and ensure successful product delivery.
Collaborate with senior leadership (Sr. Directors, other Directors, Executives) on strategic initiatives and company-wide goals.
Represent the engineering organization in cross-functional meetings and strategic discussions.
Technical Oversight & Quality:
Provide high-level technical guidance and oversight across projects.
Champion software quality, best practices, and operational reliability (e.g., SLOs, SLIs).
Ensure systems are designed for scalability, performance, and cost-efficiency.
Manage technical debt and advocate for necessary refactoring/infrastructure investments.
Resource Management:
Growing your team through coaching, mentoring
Forecast hiring needs and participate in recruitment strategy.
10+ years of software engineering experience, with 5+ years in direct people management and 3+ years managing other managers.
Master's degree in Computer Science, or Bachelor's degree with equivalent experience
Proven ability to lead, inspire, mentor, and grow large engineering teams and managers. Strong coaching skills.
Significant hands-on technical background (software development, architecture, systems design). Ability to understand complex technical challenges and trade-offs deeply, even if not coding daily.
Ability to set technical vision, translate business strategy into engineering execution, and make long-term architectural decisions.
Proven track record of shipping complex, high-quality software products at scale. Expertise in Agile methodologies.
Exceptional written and verbal communication skills. Ability to articulate complex technical concepts to both technical and non-technical audiences (including executives).
Excellent interpersonal and stakeholder management skills. Ability to build strong cross-functional partnerships.
Strong analytical and critical thinking skills. Ability to navigate ambiguity and make sound decisions under pressure.
Experience establishing processes, metrics, and driving continuous improvement.
Preferred Qualifications:
Experience in the company's specific industry (e.g. E-commerce).
Experience scaling engineering organizations during rapid growth.
Experience managing distributed/remote teams.
The base pay range for this position is expected in the range below:
$233,200 - $311,300These jobs might be a good fit