דרושים Senior Ai Platform Architect ב-איביי ב-United States, Austin

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:

Senior MTS Software Engineer, Data Platform

Job Type: Full-time

We are seeking Data Platform Software Engineers, not Data Engineers . While familiarity with Spark, Flink, and other tools in the Hadoop environment is a definite advantage, your focus will be on building the data platform rather than just creating data pipelines.

• Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform at eBay.

• Architectural Leadership: Own and evolve the architecture for core data platform systems, ensuring solutions are scalable, secure, maintainable, and in alignment with enterprise standards.

• System Design: Eliminate duplication across systems and ensure clear responsibility boundaries; align systems with business needs and future scalability.

• Engineering Excellence: Champion clean architecture, promote use of modern frameworks, enforce quality gates, and ensure adherence to design patterns and coding standards.

• Lead by Example: Write reference implementations, contribute to core libraries, and conduct in-depth code reviews to influence standards and uplift team capabilities.

• Cost Optimization: Propose and drive engineering solutions that reduce operational overhead, improve resource efficiency, and automate manual processes.

• Framework Development: Find opportunities to build reusable components, services, and frameworks that accelerate feature delivery across the organization

• Modernization: Lead migrations of legacy systems into modern architectures and cloud-native paradigms with minimal disruption and high impact.

• Collaboration: Drive complex technical discussions, build consensus across engineering, product, and operational teams, and ensure smooth delivery of cross-functional projects.

• Documentation & Governance: Create well-structured Architecture Decision Records (ADRs) and contribute to technical documentation and standards.

• Proactively address performance, security, compliance, and future-proofing of solutions while balancing latency, correctness, scale, and cost.

• Raise the engineering bar through design/code reviews, operational excellence (SLOs, observability, incident management), and scalable practices that increase velocity across teams.

• Mentorship: Act as a technical mentor, guiding senior and junior engineers on architecture best practices and advanced problem-solving.

• Introduce AI-first frameworks and reusable components that reduce developer friction and enable faster iteration.

• Automate diagnostics, monitoring, and remediation using intelligent assistants and prediction-based alerting.

• Excellent in interpersonal communication
  

What you bring

• Extensive experience owning large-scale distributed data platforms (multi-PB data, high-throughput streams, global systems).

• Deep systems approach : you anticipate bottlenecks, design for reliability (reprocessing, idempotency, schema evolution), and think holistically across compute, storage, and APIs.

• Excellent decision-making and communication skills , thriving in ambiguity while aligning diverse stakeholders on the right path forward.

• Security and compliance mindset , including data privacy, RBAC/ABAC, encryption, and auditability — with the ability to partner with compliance teams on regulatory requirements.

• Proven leadership in mentoring engineers, shaping team culture, and driving organizational change in engineering practices.

• Growth mindset
  

• High-impact mission : You will build and modernize eBay’s Data Platform, which powers analytics, experimentation, machine learning, personalization, and trust and compliance on a global scale.

• Challenging technical problems : From real-time streaming at scale, to lakehouse correctness, governance, cost and performance optimization, and multi-cloud resiliency.

• Vibrant culture : A collaborative, transparent, and inclusive environment where diverse perspectives are valued, knowledge sharing is encouraged, and every engineer has a voice.

• Flexibility & support : Hybrid/remote-friendly practices, competitive compensation, global benefits ( ), and support for learning resources, conferences, and career development.

• Always-on responsibility with balance
  

Qualifications

• 12+ years of experience in building and operating large-scale distributed systems, with 5+ years as a staff/architect-level technical lead across multiple domains.

• Proven success in driving technical strategy and roadmaps , authoring architecture and technical vision documents, and aligning stakeholders across engineering, product, and compliance.

• Strong foundation in data structures, algorithms, and distributed systems design .

• Proficiency in Java/Python (or equivalent) and in infra-as-code, CI/CD, and containerized environments.

• Hands-on deep internal expertise in several of the following: Kafka/Flink, Spark,, Delta/Iceberg, GraphQL/REST APIs, RDBMS/NoSQL, Kubernetes, Airflow.

• Experience building both streaming and batch data platforms , improving reliability, quality, and developer velocity.

• Demonstrated ability to mentor senior engineers, influence org-wide practices , and make long-term architectural decisions that unlock measurable business outcomes.

• BS/MS in CS or equivalent practical experience.

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

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:

As a senior engineer, you'll take part throughout the product development lifecycle—from conceptual design to product launch—while working closely with Product Managers, Designers, and Architectural teams.

What you will accomplish:

• Build and manage Authentication and security products.

• Create high-performance, scalable real-time systems handling billions of transactions daily, ensuring 99.99% uptime.

• Design layered applications with UI, business functionality, and database access.

• Leverage expertise in FE, BE, JS, CSS, RDBMS, NoSQL, Cloud computing, Big Data, Search, Kafka, Machine Learning, and Information Retrieval.

• Develop innovative solutions addressing market needs.

• Estimate efforts, plan implementations, and execute rollouts.

• Participate in requirement/design meetings with PD/PM teams.

• Uphold engineering excellence in development.

• Adhere to Definition Of Done (DoD) for quality assurance.

• Conduct comprehensive code reviews.

What you will bring:

• Strong Full Stack Frontend focused experience.

• Proficiency in Java and Java EE with expertise in web services such as SOAP, REST, and HTTP/XML and strong understanding of data structures, object-oriented programming, and design patterns.

• Bachelor’s degree in computer science with over 5+ of experience, or a master’s degree in computer science with 3+ years of hands-on experience in developing large-scale distributed systems.

• Familiarity with Node.js, React, Java, Scala, Oracle, MongoDB (or other NoSQL databases), REST, event sourcing, web sockets, HTML5, CSS3, JavaScript, Ajax, Spring MVC, and JQuery is highly preferred.

• Ability to define, design, and implement complex, scalable systems.

• Expertise with testing frameworks and libraries such as Jest, Mocha for unit and playwright for integration, and end-to-end testing.

• Strong team collaboration and communication skills.

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

As a Senior Product Manager, you will define and own 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.

• 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:

Are you excited to:

• Develop and maintain sanctions systems, understanding their operations and alignment with the sanctions risk appetite.

• Drive sanctions screening re-calibration.

• Define and drive sanctions screening requirements in collaboration with the product management team.

• Assist the business in identifying and understanding Sanctions risk exposures.

• Analyze business data to identify trends and assess potential Sanctions risks.

• Review escalations from ongoing screening processes for Sanctions nexus.

Qualifications:

• 2+ years of compliance experience in fin-tech, start-ups, technology, or emerging financial services, 5+ Sanctions program experience.

• Material experience with sanctions screening tool requirements, testing, calibration, and documentation.

• Knowledge and experience with OFAC and non-US Sanctions laws, regulations, and compliance requirements (including reporting and record retention).

• Strong organizational skills with project management experience.

• Ability to thrive in a fast-paced, dynamic, and time-critical environment.

• Strong interpersonal, analytical, and problem-solving skills.

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:

Senior MTS Software Engineer, Data Platforms

Job Type: Full-time

We are seeking Data Platform Software Engineers, not Data Engineers . While familiarity with Spark, Flink, and other tools in the Hadoop environment is a definite advantage, your focus will be on building the data platform rather than just creating data pipelines.

• Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform at eBay.

• Architectural Leadership: Own and evolve the architecture for core data platform systems, ensuring solutions are scalable, secure, maintainable, and in alignment with enterprise standards.

• System Design: Eliminate duplication across systems and ensure clear responsibility boundaries; align systems with business needs and future scalability.

• Engineering Excellence: Champion clean architecture, promote use of modern frameworks, enforce quality gates, and ensure adherence to design patterns and coding standards.

• Lead by Example: Write reference implementations, contribute to core libraries, and conduct in-depth code reviews to influence standards and uplift team capabilities.

• Cost Optimization: Propose and drive engineering solutions that reduce operational overhead, improve resource efficiency, and automate manual processes.

• Framework Development: Find opportunities to build reusable components, services, and frameworks that accelerate feature delivery across the organization

• Modernization: Lead migrations of legacy systems into modern architectures and cloud-native paradigms with minimal disruption and high impact.

• Collaboration: Drive complex technical discussions, build consensus across engineering, product, and operational teams, and ensure smooth delivery of cross-functional projects.

• Documentation & Governance: Create well-structured Architecture Decision Records (ADRs) and contribute to technical documentation and standards.

• Proactively address performance, security, compliance, and future-proofing of solutions while balancing latency, correctness, scale, and cost.

• Raise the engineering bar through design/code reviews, operational excellence (SLOs, observability, incident management), and scalable practices that increase velocity across teams.

• Mentorship: Act as a technical mentor, guiding senior and junior engineers on architecture best practices and advanced problem-solving.

• Introduce AI-first frameworks and reusable components that reduce developer friction and enable faster iteration.

• Automate diagnostics, monitoring, and remediation using intelligent assistants and prediction-based alerting.

• Excellent in interpersonal communication
  

What you bring

• Extensive experience owning large-scale distributed data platforms (multi-PB data, high-throughput streams, global systems).

• Deep systems approach : you anticipate bottlenecks, design for reliability (reprocessing, idempotency, schema evolution), and think holistically across compute, storage, and APIs.

• Excellent decision-making and communication skills , thriving in ambiguity while aligning diverse stakeholders on the right path forward.

• Security and compliance mindset , including data privacy, RBAC/ABAC, encryption, and auditability — with the ability to partner with compliance teams on regulatory requirements.

• Proven leadership in mentoring engineers, shaping team culture, and driving organizational change in engineering practices.

• Growth mindset
  

• High-impact mission : You will build and modernize eBay’s Data Platform, which powers analytics, experimentation, machine learning, personalization, and trust and compliance on a global scale.

• Challenging technical problems : From real-time streaming at scale, to lakehouse correctness, governance, cost and performance optimization, and multi-cloud resiliency.

• Vibrant culture : A collaborative, transparent, and inclusive environment where diverse perspectives are valued, knowledge sharing is encouraged, and every engineer has a voice.

• Flexibility & support : Hybrid/remote-friendly practices, competitive compensation, global benefits ( ), and support for learning resources, conferences, and career development.

• Always-on responsibility with balance
  

Qualifications

• 12+ years of experience in building and operating large-scale distributed systems, with 5+ years as a staff/architect-level technical lead across multiple domains.

• Proven success in driving technical strategy and roadmaps , authoring architecture and technical vision documents, and aligning stakeholders across engineering, product, and compliance.

• Strong foundation in data structures, algorithms, and distributed systems design .

• Proficiency in Java/Python (or equivalent) and in infra-as-code, CI/CD, and containerized environments.

• Hands-on deep internal expertise in several of the following: Kafka/Flink, Spark,, Delta/Iceberg, GraphQL/REST APIs, RDBMS/NoSQL, Kubernetes, Airflow.

• Experience building both streaming and batch data platforms , improving reliability, quality, and developer velocity.

• Demonstrated ability to mentor senior engineers, influence org-wide practices , and make long-term architectural decisions that unlock measurable business outcomes.

• BS/MS in CS or equivalent practical experience.

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