High-Tech Jobs

• 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:

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:

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:

What you will accomplish:

• Translate strategic objectives into actionable plans and a 6-12 month testing agenda, including prioritization of use cases, success metrics, test-and-learn programs, and feedback loops for continuous optimization across content templates and capabilities.

• Partner with the CRM content team to align testing roadmaps with capability prioritization, delivering value at scale for the full CRM program.

• Collaborate with MarTech, Data Science, Recommendations, and Analytics teams to define requirements for a scalable content library (metadata, AI features, recommendations).

• Build strong partnerships and socialize the vision, roadmap, and processes with the broader team to drive consensus, clarity, and seamless execution.

• Continuously monitor and integrate industry standards and innovations to inform and elevate eBay’s roadmap.

What you will bring:

• Proven ability to translate strategic vision into actionable roadmaps, prioritize use cases, and manage test-and-learn programs.

• Expertise blending brand requirements with technical solutions to deliver personalized experiences at scale.

• Demonstrated ability to identify platform and tooling gaps, translating business needs into technical requirements.

• Track record of building collaborative partnerships across Marketing, Product, Technology, Analytics, and Brand Creative to deliver change and alignment.

• Experience leading or influencing cross-disciplinary teams, inspiring technical teams, and driving a culture of customer-centric, agile experimentation.

• 5+ years relevant experience in CRM, personalization, technical marketing, or related digital transformation roles.

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

What makes this role exciting is the incredible potential within the Live Shopping market . You’ll have the chance to:

• Drive significant impact: Your strategies will directly contribute to eBay’s growth and leadership within a high-profile part of our business.

• Innovate and experiment: From testing new paid media channels to piloting unique content formats, you’ll have the freedom to define new ways to connect with audiences.

• Build and lead a team: Foster creativity and performance within a dedicated team focused on live shopping success.

• Leverage our unique position:

• Define, grow, and engage audiences for eBay Live — building strategies to grow customers across categories (channels, tactics, messaging, creative, etc).

• Develop and execute integrated marketing campaigns , from awareness through conversion, ensuring a cohesive experience across paid, owned, and earned channels.

• Lead a rigorous “test and learn” approach in paid media, identifying high-performing tactics and scaling them to achieve brand and business objectives.

• Craft a compelling brand narrative for eBay Live, balancing the needs of diverse verticals with eBay’s overarching business goals.

• Partner cross-functionally with internal marketing, product, design, research, communications, and category teams to deliver seamless customer experiences.

• Use insights and analytics to measure impact, identify opportunities, and continually refine audience and media strategies.

• Cultivate relationships with creators, influencers, and partners to expand reach and community engagement.

• Manage and optimize budgets

• 10+ years of brand and/or growth marketing experience , including direct expertise in live shopping, livestream commerce, or interactive retail platforms .

• Demonstrated success in audience definition, acquisition, and conversion across multiple verticals.

• Proven ability to develop, test, and scale paid media strategies that drive measurable business impact.

• Strong leadership and team-building skills, with experience guiding cross-functional teams in complex, fast-paced environments.

• Deep understanding of consumer behavior in live shopping contexts and how to engage diverse communities.

• Exceptional communicator and collaborator, with the ability to influence stakeholders at all levels.

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