Agentic Analytics Products Tech Lead jobs at Ebay in India, Bengaluru

You will lead the architecture and delivery of our AI-native analytics applications, integrating insight generation with robust, scalable platform design . This role combines hands-on technical leadership with an analytical product mindset - crafting interactive agentic experiences that reason over data, generate insights, and accelerate decisions.

You’ll own the frontend and middleware layers powering our analytics agents - from React-based interfaces that blend charts, chat, and narrative, to API orchestration layers that retrieve, ground, and validate data through LLMs. You’ll lead by code, by architecture, and by influence - setting patterns, mentoring, and collaborating with analysts, data scientists, and PMs to ship meaningful outcomes fast.

Architect the intelligence layer

• agentic workflows that connect user intent to data - integrating chat, worksheets, streaming, and visual explanations.

• Define the application and service architecture for how AI retrieves, reasons, and presents insights (tool use, citations, schema validation).

Build for analytics at scale

• Build the orchestration layer that connects user interactions to AI reasoning - handling auth, rate limits, experiments, and data retrieval pipelines.

• Establish data contracts and APIs that unify metrics, events, and visualizations across analytics domains.

Elevate the user experience

• Drive performance, accessibility, and visualization excellence with standardized components and fast, reliable UI states.

• Champion data storytelling - enabling users to go from metric → narrative → action.

Make AI analytics safe and trustworthy

• Implement grounding (RAG), output validation, PII scrubbing, prompt-injection defenses, and human-in-loop review patterns.

• Optimize for observability - OpenTelemetry, tracing, latency/cost dashboards, and model performance analytics.

Grow and scale the team

• Mentor teams to prototype fast, validate with data, and evolve solutions through evidence-based iteration.

• Work with eBay Engineering team, AI platform team, Legal to productionalize new use cases.

• 5+ years building data-intelligent applications ; 2+ years shaping the design and direction of complex, insight-driven products.

• Deep experience with React and the visual language of data - interactive charts, responsive layouts, and dynamic states.

• Strong grasp of service design and orchestration - building APIs and interaction layers that connect user intent to AI reasoning (e.g. FastAPI).

• Proven experience with LLM-powered systems - tool/function calling, vector search, schema validation, and performance optimization.

• Familiar with modern analytics patterns - self-serve exploration, experimentation, metric stores, and KPI workflows.

• Solid grounding in observability, security, and privacy - with an emphasis on transparency, traceability, and data trust.

• An articulate systems thinker with a product mindset and clear communication style.

• Experience with design systems and charting libraries (e.g. Highcharts, Plotly).

• Background in BI or analytics platforms (e.g., Looker, Mode, Amplitude, Tableau).

• Familiarity with models and software deployment (e.g. Kubernetes).

• Hands-on experience implementing agent analytics or AI copilots for data exploration.

• agentic UI that fuses chat, visualization, and live data into one seamless insight experience.

• A resilient, observable backend that keeps agents reliable, secure, and cost-efficient.

• Noticeably faster time-to-insight and growing active usage

This person will need to work with a large number of teams within eBay to make these visions successful, so building close, effective relationships with partner Product Managers will be critical. In addition, this person will translate product strategy into detailed specifications, make functional and user interface design tradeoffs, manage product launches and own the product successes post-launch. Having the experience and ability to write clear, consistent and detailed product specs will be essential. He or she will work closely with a cross-functional team of engineering, analytics, product marketing, and user research to deliver these products.

• Act as primary liaison between partner Product Managers to ensure fluid planning, design, and development of new and existing features
• Plan roadmaps according to strong product visions, bounded by finite engineering resources
• Define product requirements including writing clear, detailed, and thorough specifications for complex features and products
• Analyze user behavior data, user experience research, and marketing research to understand and drive new features & improvements
• Work with the Design team to ensure the user interface leverages industry and eBay standards, and fits into the overall product vision of the item details page
• Work with the Product Development team to ensure extensibility and scalability with the technical design
• Work with the Quality Engineering team to ensure the final delivery meets product requirements
• Solicit feedback and communicate product benefits and changes to the user community
• Ensure product vision and requirements are defined globally and for all devices, meeting the needs of global eBay sites and mobile apps, and support the goal of a single global marketplace

Job Requirements:

• 5+ years of product management or related experience. Passionate about quality products.
• Strong understanding of user interaction, design, and research
• Strong analytic skills and ability to synthesize data from multiple sources
• Demonstrated experience in writing unambiguous and clear technical specifications
• Experience working closely with internal partners on product planning, design, and development
• Experience successfully managing multiple projects through product life cycle from concept to delivery while meeting schedules and budget
• Passionate advocate for user, and has proven results in achieving superb user experience within tight constraints
• Strong cross functional team leader
• Demonstrated leadership ability, self-motivated and directed, entrepreneurial ability to innovate quickly

Basic Qualifications:

• MS Master's Degree
• Degree in a technical discipline or equivalent industry experience

Responsibilities:

• Analyze eBay’s large and rich datasets, drive insights from data to diagnose the root cause behind trends and ultimately improve our user experience.

• Build machine-learning models to predict user behaviors and infer marketing performance, support business decisions through trusted and well-defined model results.

• Measure and optimize ongoing performance for marketing activities based on data-driven insights, understand key drivers and identify new marketing opportunities by focusing on bankable metrics. Deep-dive into campaign performance and provide insights into what is working and why

• Mine data to optimize marketing campaigns, revenue growth, and customer experiences. Perform customer segmentation to understand target audiences better.

• Develop strategies for channel optimization and content strategy.

• Design, develop, and execute experimentation frameworks, including A/B testing and uplift modeling, to measure marketing effectiveness.

• Develop and implement solutions for Marketing Mix Modeling (MMM) and Marketing Attribution (MTA).

• Provide data support for business operation, design self-service tools, dashboards etc.

• Communicate business performance in a clear and insightful way to the business.

• Develop, improve and systemize crisp & accurate reporting. Streamline processes and identify/execute on automation and time-saving opportunities. Leads automation of recurring tasks.

• Translates business problems into a scientific formulation for an AI/Analytics Product solution. Defines requirements and collaborates with engineers to build and productionize AI enabled Analytics Products

Job Skills required:

• Intellectual curiosity, passion for problem-solving, and comfort with ambiguity.

• A passion for understanding and serving the unique community of eBay.

• Sound business judgment and quantitative analytic ability.

• Strong communication skills and experience presenting complex quantitative analysis into action-oriented recommendations.

• Understand a variety of machine-learning techniques (regression, clustering, decision tree learning, etc.) and their real-world advantages/drawbacks.

• Effective team player and works well within a team and contributes effectively to the success of those interactions regularly.

• Prior experience or deep knowledge of Performance Marketing and/or Brand Marketing will be highly preferred.

Desired Qualifications:

• BA/BS in Mathematics, CS, Statistics, Economics, Business, or other related fields.

• 5+ years hands-on work experience in data analysis, with a focus on onsite web analytics, A/B testing, machine learning and report automation.

• Skilled in database query tools utilizing SQL, and Hadoop experience is a plus.

• Good Excel and PowerPoint skills, proficiency with statistical analysis tools such as Python or R.

• Knowledge of AI tools and techniques, such as Gemini, GPT, LLMs etc.

Machine Learning Engineer Tech Leader (T26), Product Knowledge

We are looking for exceptional Engineers, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following:

• Building a pipeline that processes up to billions of items, frequently employing ML models on these datasets

• Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items

• Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components

• Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality

eBay is an amazing company to work for. Being on the team, you can expect to benefit from:

• A competitive salary - including stock grants and a yearly bonus

• A healthy work culture that promotes business impact and at the same time highly values your personal well-being

• Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent

• Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure

• Optimize software performance to achieve the required throughput and / or latency

• Work with your manager, peers, and Product Managers to scope projects and features

• Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact

• Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution

• Take active part in knowledge sharing across the organization - both teaching and learning from others

• Passion and commitment for technical excellence

• B.Sc. or M.Sc. in Computer Science or an equivalent professional experience

• ​7+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines

• A solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design/architecture, and core Statistics knowledge

• Experience in production-grade coding in Java, and Python/Scala

• Experience in the close examination of data, computation of statistic, and data insights

• ​Experience in designing and operating Big Data processing pipelines, such as: Hadoop and Spark

• ​Excellent verbal and written communication and collaboration skills

About the Role

This position requires a blend of front-end product expertise, an experimentation-driven mindset, and deep back-end platform experience. You will play a pivotal role in designing, scaling, and evolving global payment solutions, ensuring our systems are robust, compliant, and optimized to deliver exceptional value for buyers, sellers, and the business.

What You’ll Do

• Set the Vision: Define and communicate a compelling product vision and strategy for Payments Platform initiatives, balancing near-term execution with long-term platform investments.

• Drive Execution: Partner with engineering, analytics, design and other cross-functional teams, delivering end-to-end solutions that span customer-facing experiences, APIs, and core services.

• Enable Scale: Design systems for high availability, reliability, and scalability across multiple geographies, currencies, and regulatory frameworks.

• Collaborate Across Functions: Work with product, design, data, finance, and operations teams, as well as in-country business leaders, to align on priorities and build scalable global solutions.

• Lead with Data: Leverage analytics, customer insights, and experimentation frameworks to inform product design, validate hypotheses, and measure impact.

• Influence & Inspire: Act as a domain expert and trusted partner across the organization, building alignment from executives to cross-functional teams.

What You Bring

• Bachelor’s degree required; MBA or technical (engineering) degree preferred.

• 8+ years of experience in product management or software development, with significant exposure to payments or financial platforms—ideally in large-scale eCommerce or marketplace environments.

• Proven track record of delivering both front-end user-facing products and back-end platform solutions.

• Solid understanding of payments processing, accounting, tax and compliance frameworks.

• Experience driving global product strategies that balance innovation, operational flexibility, and market-specific requirements.

• Strong analytical abilities, with expertise in experimenting, testing hypotheses, and using quantitative/qualitative methods,

• Ability to lead complex initiatives in a matrixed, global environment, influencing stakeholders at all levels.

• Exceptional communication skills, with the ability to simplify complexity and inspire action.

• Passion for building products that delight customers and move the business forward.