Wayfair - Senior Product Manager - Data Platform
1 month ago
We are looking for a seasoned Product Manager to accelerate the development of our technology stack.
This Product Manager will play a central role in developing our platforms and partnering with a variety of stakeholders in 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 customers and suppliers.
You'll translate business asks into sensible technical specifications for your engineering team, making smart trade-offs between time and complexity to develop MVPs. You'll serve as the subject matter expert on the platform, push for adoption for new use cases, and continually improve our platform capabilities.
Responsibilities :
- Be the subject matter expert and owner of your products.
- Prioritize many requests and ideas for features by understanding the business value and impact, weighing against the risks and development cost.
- 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 benefit from it.
- Translate business 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 what is available.
- Regularly communicate our quarterly/monthly goals and progress to keep business stakeholders apprised of your work and product progress.
- 5+ years of product experience in the digital space, preferably ML or data platforms.
- 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).
- Proven SQL knowledge - can use SQL to pull ad hoc data when necessary.
- Understanding of Data and Machine Learning fields on a high level.
- Drive to deliver amazing products and features on or before schedule.
- 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 and ML offerings
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