idealzuloo.blogg.se - Rent the runway careers

Rent the runway careers driver#

We are tasked with monitoring performance and unlocking new opportunities to hit goals and drive growth. We are stewards of creating and growing a successful, revenue generating, scalable business. Revenue at Rent the Runway is a high visibility, fast-paced, strategic team within the Consumer Org responsible for setting the revenue goals and key business metrics for the company. Under CEO and Co-Founder Jennifer Hyman’s leadership, RTR has been named to CNBC’s “Disruptor 50” five times in ten years, and has been placed on Fast Company’s Most Innovative Companies list multiple times, while Hyman herself has been named to the “TIME 100” most influential people in the world and as one of People magazine’s “Women Changing the World.” RTR offers designer apparel, accessories and home decor from 700+ brand partners and has built in-house proprietary technology and a one-of-a-kind reverse logistics operation. As the ultimate destination for circular fashion, the brand now offers infinite points of access to its shared closet via a fully customizable subscription to fashion, one-time rental or ownership.

Founded in 2009, RTR has disrupted the $2.4 trillion fashion industry by inspiring women with a more joyful, sustainable and financially-savvy way to feel their best every day. Rent the Runway (RTR) is transforming the way we get dressed by pioneering the world’s first Closet in the Cloud.

Rent the runway careers driver#

Build and forge strong connections with Data/Analytics, Marketing, Fashion, and Product functions within RTR to be a driver and executor of strategies within the Revenue today and broader cross functional consumer organization.

Build and run tests on navigation, filters, home page placements, grids and carousels to improve conversion and retention.

Ensure the appropriate data is collected and tools are built to support the merchandising and personalization teams to operate efficiently, serve as business stakeholder with machine learning team.

Identify technical gaps in site experience today and build roadmap and vision for ideal experience in partnership with engineering and machine learning.

Establish metrics of success and monitoring across user experience for personalization, site merchandising and product discovery.

Develop and own a cohesive digital merchandising experience that establishes the right balance between data and curation to drive engagement, loyalty, and conversion.