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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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Senior MTS Software Engineer, Data Platform
Job Type: Full-time
About the RoleWe 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:
$152,400 - $247,800These jobs might be a good fit

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What you will accomplish:
Lead key changes across the selling, shopping, and shipping experiences for eBay buyers and sellers as new programs are ideated, developed, and scaled across the site.
Partner with shipping product team to prioritize initiatives that provide a better seller experience. Analyze seller and buyer feedback to prioritize most impactful improvements, and advocate and shepherd those changes into production.
Be the voice of the customer and build cases to improve the program then drive them to implementation.
Engage internal subject matter specialists (individuals or teams) to bring deeper understanding of the needs and challenges faced by sellers; and who help advise on or implement the potential solutions.
What you will bring:
Customer centric – passionate about advocating for customers
Highly flexible – able to switch gears and accept rapid change in priorities
Solution oriented – passionate about solving difficult business problems and telling the story behind the numbers
Cross-functional and collaborative – you communicate optimally with partners and technology teams to lead change
Hands-on – use peers and leadership to optimally, influence best in class performance from suppliers and internal teams
Naturally inclined to learning new things – you proactively pursue acquiring new knowledge about your work and enjoy sharing your knowledge with others
Orchestrate critical initiatives to streamline eBay's shipping experience, enhancing our user efficiency and customer satisfaction.
Foster collaboration with diverse teams, including product, design, marketing, legal, analytics, finance, and more, to drive these improvements and innovations.
Champion operational excellence through meticulous planning, analysis, and reporting of shipping projects.
Oversee the full program lifecycle of eBay's shipping transformation, ensuring it aligns with overarching business objectives.
Act as the central point of contact for all program-related matters within the shipping experience transformation.
Craft and implement a robust go-to-market strategy for shipping to improve the overall buying and selling experience.
Work with internal customers to prioritize shipping enhancements and drive innovative solutions.
Manage project execution to deliver on-time, within budget, and to scope, while maintaining key partner relationships and providing leadership with regular project updates and data-driven insights for ongoing optimization.
Experience and success working in program management and/or online commerce
Strong analytical skills with experience in ability to use research to make data-driven decisions.
A well-versed understanding of the Shipping experience on eBay both as a buyer and a seller.
Ability to operate in a fast-paced environment that’s going through tremendous growth and shifting priorities.
eBay site customer (buyer / seller) and familiarity with eBay flows and processes preferred including current shipping programs offered to customers including desired experience versus perceived experience.
The base pay range for this position is expected in the range below:
$70,000 - $120,700These jobs might be a good fit

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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:
$108,000 - $186,900These jobs might be a good fit

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Job Summary
The AML Governance, Sr. Analyst, will play a key role in supporting eBay’s robust governance and oversight framework for the Anti-Money Laundering (AML) Compliance Program. This position centers on supporting core governance functions such as:
Required Qualifications
Preferred Qualifications
The base pay range for this position is expected in the range below:
$70,000 - $120,700These jobs might be a good fit

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What you will accomplish:
You will work hand-in-hand with Self-Service and Agent Assist product leaders to weave AI into a detailed, end-to-end ecosystem. Ensure customer journeys are effortless, agents are empowered, and AI works behind the scenes to reduce friction at every step.
Develop and deliver automation that removes complexity for customers and agents alike. From smarter routing to predictive staffing, build systems that cut down on repeat contacts, minimize wait times, and simplify the overall experience.
Harness the voice of the customer through analytics, NLP, and machine learning.
Compose the roadmap for AI platforms and integrations that scale across the enterprise. Oversee APIs, vendor ecosystems, and technology partnerships to ensure our infrastructure supports the rapid adoption of AI across all channels.
Balance experimentation with execution by piloting new AI use cases while building frameworks, playbooks, and governance to guide balanced adoption. Bring both creativity and discipline to how AI transforms the way we work.
Engage business collaborators as partners in transformation. Use storytelling, data-driven narratives, and clear success measures to align them with the AI vision. Develop clarity, build trust, and ensure leaders across the organization are advocates for reducing customer effort through AI.
What you will bring:
5+ years of Product Management experience, ideally in contact center, customer experience, or SaaS platforms.
Confirmed ability to deliver AI/ML-enabled solutions that reduce customer effort and drive operational efficiency.
Solid understanding of contact center operations, workforce management, and CX metrics (CES, CSAT, NPS).
Experience working cross-functionally with self-service and agent-facing product teams.
Skilled in data analytics, visualization, and AI-driven insights.
Familiarity with APIs, integrations, and cloud-based platforms.
Background in data science, analytics, or AI product development.
Certifications in AI/ML or cloud platforms a plus.
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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What you will accomplish:
Deliver secure and reliable collaboration experiences to employees worldwide by managing and optimizing platforms such as Microsoft 365, Slack Enterprise Grid, and Google Workspace.
Increase adoption of advanced technology, including AI integrations and in-product AI enhancements, to boost productivity and simplify how teams connect.
Strengthen system security and compliance through proactive incident response and ongoing safeguards for sensitive information.
Enable organization-wide growth by developing training programs and sharing knowledge with lower-level support teams to enhance operational maturity.
Collaborate across IT, business units, and vendors to ensure alignment between collaboration platform strategy and eBay’s broader strategic objectives and product roadmaps.
Guide successful change and release management, translating upcoming technology updates into user-oriented solutions for business continuity.
What you will bring:
Bachelor’s degree in Computer Science, Information Technology, Business Information Systems, or equivalent work experience; certifications like ITIL, COBIT, Agile, Six Sigma, Slack, or Microsoft are valued.
7+ Years of experience administrating M365 and Google Workspace configurations.
5+ Years of experience with Slack Enterprise Grid administration and integrations.
5+ Years of experience administrating Exchange, Exchange Online, Cisco Cloud Email Security or other email systems and have implemented DMARC, DKIM, SPF, and BIMI.
3+ Years of experience administrating Windows and Linux OS.
1+ Years of building and implementing AI agents, MCP Servers, and in-product AI enhancements.
Deep expertise in administering Microsoft 365, Google Workspace, and Slack Enterprise Grid, with strong skills in platform integrations and automation using PowerShell and Graph API.
Track record of securing enterprise applications and applying identity and access management principles, including hands-on experience with Exchange Online, Cisco Cloud Email Security, Active Directory, and Entra ID.
Experience implementing and supporting AI-powered agents and enhancements, and using tools such as PowerAutomate and Google Apps Script.
Advanced problem-solving capabilities for complex networking and firewall issues, along with knowledge of release management and compliance standards such as CAB, MS Purview, and MS Defender.
Willingness to participate in 24x7 on-call rotation and ability to communicate effectively with diverse stakeholders, including non-technical users and global teams.
The base pay range for this position is expected in the range below:
$83,200 - $146,900These 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