Software Product Manager jobs

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:

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:

• Lead Brand Storytelling: Define and evolve eBay’s brand narrative to reflect our purpose and differentiation across consumer audiences.

• Develop Integrated Campaigns: Build and execute innovative, cross-channel communications campaigns that elevate brand visibility and strengthen marketplace consideration.

• Partner Across Functions: Collaborate with Marketing, Creative, and Business Units to align storytelling with brand campaigns and product initiatives.
  Drive Earned Media Impact: Cultivate strong media relationships and deliver coverage that showcases eBay’s relevance in culture, innovation, and purpose.

• Manage Global Agency Partners: Lead agency partners in concepting and delivering high-impact campaigns that reinforce eBay’s global brand positioning.

• Enhance Reputation:

• Minimum 10 years of experience in brand, consumer, or corporate communications , ideally across both agency and in-house roles.

• Proven success in building and leading integrated communications strategies for global brands.

• Strong media and influencer relationships across business, culture, and lifestyle verticals.

• Deep understanding of consumer insights, cultural trends , and how to connect them to brand storytelling.

• Ability to influence and partner with senior leaders and cross-functional teams in a matrixed global organization.

• Exceptional written and verbal communication skills, with a creative and strategic mindset.

• Travel: Occasional travel required for events, shoots, and team collaboration.
  

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

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:

What you will accomplish

• Build and maintain eBay’s homepage/CMS backend engineering and machine learning stack

• Translate requirements to software design and create clean, efficient, extensible, maintainable code.

• Be responsible for a large functional area possessing in-depth knowledge and expertise.

• Influence across domain teams and guiding others towards the right technical decisions

• Design and build scalable, distributed and high-available systems, ensuring high-performant, responsive website and accessibility.

• Provide technical guidance, code review for immediate team and other teams, contribute and review ADRs (Architecture Decision Records), coaching, and mentorship to individual team members within and outside teams.

• Lead engineering support, release, and on-call responsibilities.

• Identify areas in the team applications and integrate flexibility in the design for these areas

• Improving engineering velocity.

What you will bring

• 6+ years of experience in working in JavaScript, GraphQL REST APIs, messaging systems and/or other backend programming languages.

• Hands-on experience building data-driven applications (RDBMS, NoSQL, ElasticSearch)

• A deep understanding of building scalable backend applications.

• Strong experience delivering results in fast-paced environments (agile, TDD, CI/CD)

• Passion for AI technologies (LLMs and Machine Learning)

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