Product Manager, Data & ML Platforms

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

Product Manager, Data Analytics Platforms 

Wayfair leverages sophisticated data and machine learning algorithms to optimize product recommendations, marketing campaigns, supply chain efficiency, merchandising strategies, and more. These functions necessitate a highly configurable technology infrastructure that facilitates rapid exploration and iteration on both our analytics and platform tools.

We are looking for a seasoned Technical Product Manager to accelerate the development of our technology stack. In this role, you will be part of driving our enterprise wide strategy around the data analytics and orchestration user experience. This Product Manager will play a key role in our overall data platform and data mesh strategy - partnering with a variety of stakeholders spanning technical (software engineering, data engineers/scientists, product managers) and non-technical (business analysts, senior leadership) stakeholders. You will work with them to understand Wayfair’s pain points, business KPIs, and current technical gaps to develop a platform that advances our ability to delight the customers and suppliers. 

In this role, you’ll translate business/user needs into a pragmatic and iterative strategy and roadmap for your engineering team(s), make smart trade-offs between time and complexity to develop market ready solutions. You will be partnering with both your internal engineering team and our vendor partners (e.g. GCP) while serving as the subject matter expert on the platform and tools, push for adoption for new use cases, and continuously improve our platform capabilities.

Responsibilities:

• Be the subject matter expert and owner of your products and our end-to-end Wayfair data experience
• Be a strong advocate for your end-users and their experience to both internal (Wayfair) and external (vendor) partners
• 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

Requirements:

• 5+ years of product experience in developing data or analytics platforms, with preference on experience around an end-to-end data journey and with vendor partnership
• 3+ years of experience of foundational understanding of data technologies, data pipeline and orchestration tools (e.g. Airflow, Cloud Composer, Cloud Scheduler), and Data visualization tools, with subject matter expertise in several products, such as such as BigQuery and Looker, or similar technologies
• Experience developing or influencing data operations standards such as access management, provisioning of assets, governance 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 customer centric products 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