Product Manager, Data Platforms

Candidates for this position are preferred to be based in Bengaluru, India and will be expected to comply with their team's hybrid work schedule requirements.

Who We Are:

Wayfair's core platforms are increasingly driven by a cutting-edge set of data and machine learning systems that interact in complex ways to ensure that we are using our rich datasets to their full potential. Business applications of these learning systems span many fields including recommendations, marketing, supply chain optimization and merchandising. These fields require a sophisticated data technology stack that allows for complex data and machine learning systems combined with configurability for rapid testing and exploration.

We are looking for a seasoned Product Manager to accelerate the development of our technology stack, leading our data platforms (specifically our Data Ingestion systems that include real-time event management and batch data ingestion technologies) that serve thousands of users and applications (incl. analytics and ML use cases) within Wayfair. This Product Manager will play a central role in developing our data platforms and partnering with a variety of stakeholders in both engineering, product and data science. You will work with them to understand our pain points, our internal business KPIs, and our current technical gaps to develop a platform that advances our ability to delight the customers and suppliers. You’ll translate business/user needs into a pragmatic and iterative strategy and roadmap, along with providing specifications and user stories for your engineering team(s), making smart trade-offs between time and complexity to develop market ready solutions. You’ll serve as the subject matter expert on the platform, push for adoption for new use cases, and continually improve our platform capabilities.

What You'll Do:

• Be the subject matter expert and owner of your products, particularly our Data Ingestion technologies that handles different volume, velocity and variety in real-time and batch.
• Prioritize many requests and ideas for features by understanding the business value and impact, weighed against the risks and development cost
• Accountable for the end-to-end delivery of platform enhancements and support
• Develop and maintain a product vision and roadmap, keeping stakeholders and constituents up to date on the top level goals and timelines
• Market your product internally to various departments to ensure all available users know about your product and how they could value from it, measure adoption and invest in any gaps proactively
• Translate product strategy/outcomes into initiatives into engineering stories/tickets, allowing engineering to run with your ideas
• Deeply understand the technology used in your products, the strong and weak points, and become an expert at market options, and influence the pivots when necessary
• Regularly communicate our periodic goals and progress to keep stakeholders apprised of your work and product progress

What you’ll Need:

• Overall of 6+ years of experience and 3+ years into product experience in developing platforms, preferably with data platforms, real-time events management, batch data movement, and related areas
• 3+ years of experience of foundational understanding of data technologies with subject matter expertise in several products, such as Airflow, Kafka, BigQuery, Spark, and Data visualization tools, such as Looker, or similar technologies
• Experience developing or influencing data operations standards such as access management, provisioning of assets, governances processes
• Proven SQL knowledge – can use SQL to pull ad hoc data when necessary
• Strong written and verbal communication and a demonstrated ability to explain technical concepts to non-technical audiences
• Demonstrable ability to be technically hands-on, up to architecting high-level system plans (no coding)
• Drive to deliver amazing products that customer centric with clear KPIs on measuring their effectiveness and usability
• Ability to work across several stakeholder groups and juggle many large initiatives simultaneously
• Ability to structure problems, develop clear hypotheses, and prioritize work against the largest impact initiatives
• Experience working with a large engineering team, running their sprints, stand-ups, and backlog
• Cultivate senior presence and be the leader of your product
• Familiarity with Google cloud and its data offerings