דרושים Manager Developer Experience ב-איביי ב-India, Bengaluru

As a thousands of applications and support 3,000+ developers every day. You’ll build paved‑path tooling, automate at scale, and adopt modern cloud infrastructure so teams can develop, test, and ship high‑quality, secure, performant software—rapidly and reliably.

• Own the Software Build, Test platform and frameworks. Design and evolve fast, reproducible, and cache-efficient builds; reduce CI build times with creative solutions; improve correctness and remove flakiness in infrastructure; maintain scalable artifact storage and dependency management.

• Platform modernization. Our platform is powered by Jenkins, Maven for Java, NPM for NodeJs builds. You’ll be evaluating state of the art CI platforms (e.g.Tekton) and pave the way for modernizing our Build, Test stack.

• Spin up ephemeral, production-like test environments. Standardize on sandboxed, on-demand environments (e.g., per-PR) to enable reliable integration/e2e testing and preview deployments.

• Harden & simplify deployments. Advance our CD/GitOps workflows (progressive delivery, automated rollbacks, canaries), with golden paths and strong guardrails.

• Build the internal developer portal. Curate paved roads for services, data, and infra via templates, scorecards, and software catalogs to improve discoverability and self-service.

• Introduce AI-assisted engineering.

  • Ship secure, private AI copilots for code authoring, refactoring, and code review.

  • Use LLMs for test generation , flaky test triage , log summarization , debug suggestions , Error classifications, Selective Test Execution and AIOps across CI/CD.

  • Build evaluation harnesses, prompt libraries, RAG over internal docs, and policy controls for IP, PII, and secrets.

• Champion reliability, security & compliance. Bake in supply-chain security (SBOMs, provenance, signing), policy-as-code, and infra guardrails, Patching CVEs in accordance with policies

• Instrument, measure, improve. Track DORA and DevEx metrics (lead time, deployment frequency, change-failure rate, MTTR) and drive continuous improvement via experiments.

• Partner widely. Work with product teams, Cloud, Frameworks, Security, and Data/ML to understand friction points and design paved-road solutions that scale.

• Collaborate across.

• Data driven analysis and cut average CI build times by 40% via incremental builds, dependency management and smarter caching; Bring down slowest test suites with parallelization, Selective Test executions, profiling and flake-busting.

• Launch ephemeral “PR environments” with seeded data and synthetic traffic; integrate with feature flags for safe, progressive rollouts.

• Stand up an internal developer portal (service templates, scorecards, docs search) and migrate golden paths there.

• Deliver an AI DevEx toolkit : repo-aware chat, code-review assistant, flaky-test explainer, and CI log summarizer—with evaluation dashboards and privacy controls.

• Pilot remote dev pods
  

Must-haves

• 7+ years building platforms/tools for large engineering orgs; deep expertise in one or more build systems (preferably building Java, Nodejs stacks), CI orchestration (preferably Jenkins), test infra, deployment/CD pipelines, or Internal Developer Portals.

• Self-starter with a proactive mindset and strong sense of ownership.

• Proven ability to manage communications effectively with partner teams across global regions, with hands-on experience working in private cloud environments.

• Skilled at designing robust solutions while proactively anticipating potential issues to ensure reliability and efficiency.

• Strong systems design for high-scale developer workflows (monorepos/multirepos, artifact caching, remote execution, hermetic builds).

• Experienced in providing timely solutions to developer challenges in Jenkins environments, ensuring smooth CI/CD workflows.

• DevOps fundamentals: Containers, Kubernetes, service mesh, IaC (Terraform), GitOps, observability (metrics/logs/traces), SLOs/SLIs.

• Practical AI skills & design patterns: Prompt engineering, hands-on RAG, LLM evaluations, API orchestration, privacy/guardrails; ability to ship AI-backed tools that measurably reduce toil.

• System design & design patterns: strong grasp of distributed systems, API design, resiliency, and object-oriented/functional patterns; ability to create clear, scalable architectures and ADRs.

• Agentic/MCP architectures: practical experience designing agent loops (planner/executor/critic), tool abstractions, memory, and MCP-style tool/resource servers for enterprise integration.

• Proficiency in at least two languages (e.g., Java, Kotlin, Python, Go,). Fullstack development experience is a plus.

• Fluency in Linux/Ubuntu commands to get bottom of the system level issues.

• Database literacy: working knowledge of NoSQL and modern relational databases.

• Observability dashboards: ability to build with Prometheus, Grafana, ELK, Splunk, New Relic, or Nagios.

• Performance sleuthing: able to diagnose system and web-service performance issues end-to-end.

Nice-to-haves

• Experience with modern CI/CD platforms (e.g., Tekton/Spinnaker/Argo CD/Flux) and progressive delivery.

• Prior work with Backstage or other IDPs; plugin development and service catalog design.

• Background in developer analytics and productivity research; familiarity with DORA, DX frameworks

• Experience with remote dev environments (e.g., DevPods/Codespaces-style) at scale.

• Experience with microservices architecture and related DevOps practices.

• Lead time for changes trends down; deployment frequency trends up without increasing risk.

• CI stability & speed improve (p95 build/test time, flake rate, queueing).

• Change failure rate & MTTR drop via safer releases and better rollback automation.

• Developer NPS/DevEx survey and onboarding time improve; IDP adoption grows. (Benchmarked using DORA-style measures.)

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​Job Responsibilities

• Hire, manage and mentor Product Managers responsible for the Landing Page Platform, Linking Services and Tools.
• Develop and lead the execution of a strategic vision for those areas.
  Define and prioritize product roadmaps, aligning with business goals and market trends:
• --Oversee the management and refinement of buyer intent data definitions for category and model landing pages. Collaborate with SEO experts to ensure pages are optimized for search engine visibility and user engagement.
• --Lead initiatives to improve navigational elements, ensuring seamless connectivity between landing pages and eBay's site structure. Innovate linking strategies to enhance user experience and site navigation efficiency.
• --Drive the development and enhancement of operational tools for manual intervention and automation. Ensure tools are user-friendly and facilitate efficient management of landing page operations.
• Work closely with engineering, product partners, technical SEO, business partners, operations and analytics teams to deliver cohesive product solutions.
• Foster a collaborative environment that encourages innovation and continuous improvement.
• Establish KPIs and metrics to monitor the quality, performance, and impact of the landing pages and linking services.
  Provide regular reports and insights to stakeholders, driving data-informed decision-making.

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, Business or a related field;
• MBA or advanced degree preferred.
• Proven experience in product management
• Excellent leadership skills with a track record of managing high-performing teams.
• Ability to think strategically and execute methodically, with a strong attention to detail.
• Exceptional communication and collaboration skills, capable of working across diverse teams.
• Familiarity with e-commerce platforms

We’re building the future of eCommerce product discovery, and we need a data-driven, AI-savvy problem solver to help us do it.

This is a unique role at the intersection of data analytics, AI/ML model evaluation, and prompt engineering—ideal for someone who is just as comfortable writing SQL queries and Python scripts as they are experimenting with LLMs to build analytical solutions.

You’ll be embedded in the Product Knowledge org, shaping how we structure and optimize taxonomy, ontology, and catalog data for next-gen search, recommendations, and AI-driven experiences.

● Analyze & Optimize eCommerce Product Data – Run deep SQL & Python analyses to identify opportunities in taxonomy, ontology, and structured data for search & discovery improvements.

● Leverage LLMs for Analytical Solutions – Use prompt engineering techniques to create AI-driven approaches for taxonomy validation, data enrichment, and classification.

● Evaluate & Improve AI/ML Models – Develop systematic evaluation frameworks for product knowledge models, embeddings, and semantic search solutions.

● Drive Insights & Strategy – Use data-driven storytelling to influence product and AI teams, helping shape decisions on catalog optimization, entity resolution, and knowledge graph development.

● Integrate with AI/ML Teams – Work closely with data scientists and engineers to test and refine AI-based classification, search ranking, and recommendation models.

● Prototype and Experiment – Move fast, test hypotheses, and build quick experiments to validate structured data strategies and AI-driven discovery improvements.

● Strong Data & Analytics Skills – Proficiency in SQL & Python for data wrangling, analytics, and automation.

● Product Analytics Mindset – Familiarity with eCommerce search, recommendations, and knowledge graph applications

● Strong Communication – Ability to turn complex findings into actionable recommendations for Product, AI, and Engineering teams.

● AI/LLM Experience – Hands-on experience with LLMs, prompt engineering, and retrieval-augmented generation (RAG) for AI-powered insights (Preferred )

At the intersection of AI, data science, and product discovery , we’re crafting the next generation of eCommerce experiences—and we’re looking for a dynamic leader to help make that vision real.

As , you’ll be a key architect behind the structured data that fuels search, recommendations, and AI-driven personalization. You’ll lead with both hands-on expertise and strategic insight, bridging the worlds of LLMs, taxonomy, knowledge graphs, and scalable analytics .

This is a embedded in our , where you’ll drive meaningful innovation across catalog systems, metadata, and data-driven product experiences. If you thrive in a fast-paced, startup-like environment and are passionate about turning complex data into magical customer experiences, this is your stage.

What You’ll Lead & Deliver

• Optimize Product Knowledge at Scale
  Conduct deep analytical dives using SQL and Python to enhance taxonomy, ontology, and structured catalog data that directly impact product discovery.

• Build LLM-Powered Solutions
  Use prompt engineering and retrieval-augmented generation (RAG) to create scalable, AI-powered tools for classification, data enrichment, and catalog intelligence.

• Design Model Evaluation Frameworks
  Establish robust metrics and test beds to evaluate semantic search models, embeddings, and ML-powered classification systems.

• Turn Data into Strategy
  Translate insights into action by partnering with Product, Engineering, and AI teams—driving roadmap priorities for catalog optimization, entity resolution, and knowledge graph evolution.

• Prototype & Experiment Rapidly
  Move quickly to test ideas and validate structured data strategies. Build proof-of-concepts that can scale into enterprise-level solutions.

• Partner for Production Impact
  Collaborate closely with applied ML, engineering, and product teams to refine and operationalize AI models in real-world, high-scale systems.

What You Bring

• 7+ years of experience in analytics, data science, or ML roles

• Advanced proficiency in SQL and Python for analytics, automation, and experimentation

• Familiarity with eCommerce discovery , product classification, and search or recommendation systems

• Hands-on experience with LLMs, prompt engineering, or RAG (preferred but not required)

• Strong grasp of model evaluation , including metrics design and benchmarking

• A startup mindset—bias for action, high ownership, and comfort with ambiguity

• Excellent communicator with the ability to influence cross-functional stakeholders

Why You’ll Love It Here

• Drive real impact at the core of product discovery innovation

• Work hands-on with cutting-edge AI and data platforms

• Collaborate with some of the best minds in AI, Product, and Engineering

• Own high-visibility projects in a startup-like, high-trust culture

• Build scalable, magical, and relevant product data systems used by millions

Key Responsibilities:

• Provide leadership and strategic direction to the software development teams within the CDT organization.

• Collaborate with product management and other stakeholders to align development activities with business goals and product vision.

• Drive the design, development, and deployment of scalable and reliable data solutions.

• Foster a culture of innovation and continuous improvement in technology and processes.

• Ensure high standards of software quality and the adoption of best practices in software development.

• Manage resources effectively, including budget, personnel, and technology.

• Mentor and develop a high-performing team of software development professionals.

Qualifications:

• 10+ years of experience in software development, with a significant focus on data technologies and platforms.

• Previous experience in a leadership role within a large-scale, technology-driven organization.

• Strong technical expertise in modern data architectures, cloud technologies, and software engineering practices.

• Excellent project management skills and the ability to lead complex technical projects.

• Strong communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• Lead a diversely skilled team members comprising of engineers, ML developers and product owners.

• Drive engineering initiatives that enhance risk management and transaction security, ensuring a customer-centric approach and excellent developer experience.

• Collaborate with cross-functional teams to integrate robust technical solutions aligned with business objectives and focused on customer needs.

• Mentor and develop team members, fostering a culture of continuous learning and growth with emphasis on hiring and retaining top talent.

• Execute eBay’s Risk engineering strategies to achieve measurable performance improvements and optimize developer experience.

• Innovate and influence the adoption of market-leading technology capabilities, rapidly evaluating and scaling new technologies where appropriate.

• Lead cross-team collaborations that support eBay’s overall business metrics.

• At least 12 years of experience in software development, with the latest 4 years as an Engineering Manager.

• Hands-on experience with technologies like Java, JEE, Spark, Hadoop, Apache Flink, RDBMS, NoSql.

• Extensive experience in software development, especially within risk management platforms or related fields.

• Strong technical expertise in solution design patterns, data systems, and machine learning frameworks.

• Proven leadership skills with the ability to mentor and guide engineering teams.

• Excellent communication skills to translate and distill complex technical concepts for various audiences.

• Willingness to travel as needed for this role to collaborate with global teams.

What you will accomplish:

• Own and drive the product and CX strategy, develop requirements and drive roadmap execution for risk and compliance capabilities.

• Build and manage a team of PMs to build an area of excellence for Risk, Tax and Compliance products.

• Lead projects during the execution stage by partnering with relevant stakeholders.

• Prioritize the backlog by actively soliciting and curating ideas from partners across the organization.

• Drive planning, story prioritization, product backlog grooming with the scrum team.

• Identify risks and mitigation plans with development and quality engineering leads together with a plan for roll-back and business contingencies.

• Partner closely with Product Analytics team to collect data insights to measure improvements made to your products.

• Be the product champion who provides an end-to-end view of customer experiences on Risk products and architecture to help communicate the value thereof to multiple audiences including product/business community & executives.

• Monitor industry trends and technology improvements to propose substantial improvements for the platform.

What you will bring:

• 9 + years of Product Management experience with expertise in the area of Payments or transaction Risk in a marketplace or e-commerce context.

• Proven track record of launching product solutions, at scale and globally.

• Strong problem solving and analytical abilities.

• Effective at decision making, navigating ambiguity and making tradeoffs.

• Ability to effectively prioritize and execute tasks in a dynamic environment using a data-driven and analytical approach.

• Experience with product development lifecycle, process flows and working in an agile environment.

• Excellent interpersonal and relationship building skills and proven track record to influence senior management across different organizations.

• Standout colleague with emotional intelligence for our customers (both internal and external) and desire to understand their needs, wants and concerns.

• Master's degree, MBA preferred.