דרושים Senior Manager Applied Research ב-איביי ב-India, Bengaluru

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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

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'll do and learn:

• Develop features that are modular and loosely coupled

• Able to translate product and design documents into clean, high-quality, crash-free, well-tested and maintainable production code autonomously

• Write unit tests and automation code for all shipped features

• Conduct code review for immediate team

• Develop and maintain technical documentation to support software applications.

• Propose and evaluate multiple design options, providing estimates for each.

• Structure and complete tasks independently, meeting deadlines and milestones.

• Effectively communicate assumptions and seek clarification from stakeholders, ensuring alignment and understanding across all domains.

What you will bring:

• 4+ years professional experience in native mobile development

• Understanding of advanced swift features such as generics / concurrency mgmt /

• Experience with dependency management tools in iOS - SPM/Cocoapods/Carthage etc

• Basic understanding of system design for large scale consumer mobile applications

• Familiarity with CI/CD tools

• Experience implementing modern platform design patterns

• Understanding of testing iOS applications using platform tools

• Experience with production monitoring

• Basic proficiency with swift memory management

• Strong learning ability, self-driven

• Excited about new and innovative technologies within immediate field of expertise

• Attending knowledge sharing sessions, both within the company and externally

• Innovative, team player, excellent communication and decision-making

• Bachelor's degree in EE, CS or other related field or equivalent exp.

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

• Reliability & Performance: Design, implement, and maintain systems and processes to ensure the high availability, performance, and scalability of our production platform.

• Automation: Develop and implement automation for infrastructure provisioning, deployment, monitoring, and incident response, reducing manual toil and improving operational efficiency.

• Observability: Implement and enhance comprehensive monitoring, logging, and alerting solutions to provide deep insights into system health and performance.

• Incident Management: Lead incident response efforts, conduct root cause analyses, and implement preventative measures to minimize future occurrences.

• Capacity Planning: Collaborate with development teams to forecast resource needs and ensure the platform can handle anticipated growth and traffic spikes.

• System Design & Architecture: Provide input on system architecture and design, advocating for reliability, scalability, and operational best practices from the outset.

• Tooling & Infrastructure: Evaluate, select, and implement new tools and technologies to improve our platform's reliability, security, and operational capabilities.

• Collaboration & Mentorship: Work closely with development, QA, and security teams to embed reliability practices throughout the software development lifecycle. Mentor junior engineers on SRE principles and best practices.

• Documentation:

• Experience: 5+ years of experience in a DevOps, SRE, or similar role focused on platform reliability and operations.

• Cloud Platforms: Strong hands-on experience with at least one major cloud provider (e.g., AWS, Azure, GCP).

• Containerization & Orchestration: Expertise with Docker and Kubernetes for deploying and managing microservices.

• Infrastructure as Code: Proficiency with IaC tools such as Terraform, CloudFormation, or Ansible.

• Scripting & Programming: Strong scripting skills (e.g., Python, Bash) and experience with at least one compiled language (e.g., Go, Java, Node.js) for automation and tool development.

• Monitoring & Alerting: Experience with monitoring tools (e.g., Prometheus, Grafana, Datadog, New Relic) and logging systems (e.g., ELK Stack, Splunk).

• CI/CD: Solid understanding and experience with CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions).

• AI Code Generation: Familiarity with foundational AI concepts and practical experience applying AI-powered coding generation (e.g., OpenAI Codex, GitHub Copilot, Anthropic Claude, Cursor, Windsurf or understanding of transformer-based code generation) will be a significant asset.

• Networking: Fundamental understanding of networking concepts (TCP/IP, DNS, Load Balancing, Firewalls).

• Databases: Familiarity with database operations, performance tuning, and backup/recovery strategies (SQL and NoSQL).

• Problem-Solving: Exceptional analytical and troubleshooting skills, with a methodical approach to identifying and resolving complex system issues.

• Communication: Excellent verbal and written communication skills, capable of effectively communicating technical concepts to diverse audiences.

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.