About Us:

Rent the Runway (RTR)  is transforming the way we get dressed by pioneering the world’s first Closet in the Cloud. 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. 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. 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. 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.”

About the Team:

The operations team at RTR works to deliver the customer mission by innovating through automation, process improvement, transportation methods, packaging and garment science. In doing so, the RTR operations team owns the largest cost components of the business: fulfillment labor, transportation and inventory care. While this is true of any e-commerce company, our subscription rental model and reverse logistics process introduce complexities that are unique to RTR. Given that garments are rented multiple times, returning garments to like-new condition is critical to maximizing the life of our inventory. RTR is thus not only tasked with scaling productive operational processes for traditional e-commerce functions, but also with carrying out manufacturing-like processes such as dry cleaning and repairs. The variety of our inventory assortment - which has been expanding with the growth of new categories - further introduces challenges to implementing traditional technologies and solutions. Success on the RTR operations team requires the pursuit of constant innovation beyond conventional standards.

About the Job:

RTR is seeking an outstanding Process Engineer to join our Operations Engineering team to plan and execute capacity expansion and process improvements. In this position, you will partner with cross-functional teams and interface with business leaders to drive critical business initiatives. This role provides the opportunity to shape strategic planning and tackle key challenges that will take RTR fulfillment and the customer experience to the next level.

What You’ll Do:

• Manage the processing (mechanical & labor) and storage capacity model and gather insights to support in monthly business review data to share the roadmap and propose necessary changes.
• You will work closely with senior analysts from Business Intelligence and Operation Managers to gather, analyze, and report financial and operational data, contributing to decision-making processes and business insights
• Project management of Capex and CI projects from beginning to end, including RCA, building project plans, vendor management, managing timelines, change management, and updating stakeholders. 
• Leverage continuous improvement and lean tools to create a best in class standardization across sites. 
• Lead and support process improvements in partnership with operations and tech from data analysis to implementation. Examples include; pick path optimization & inventory flow changes. 
• Work autonomously in an ambiguous environment, seeking to understand business problems, automation limitations, scaling factors, boundary conditions and the rationale driving overarching leadership decisions.

About You:

     Required qualifications

• We are open to NJ or TX based person.
• Bachelor’s degree in Engineering, Mathematics, Data Analytics, or Physics.
• 2+ years of experience in the job offered related occupations in Manufacturing, Supply Chain, or Industrial Dry Cleaning industries.
• Strong analytical skills and attention to detail. 
• Experience in leading technical and CI projects or supporting large complex projects.
• Utilize data analysis tools such as SQL, GBQ, Tableau, or Looker to analyze financial and operational data and generate insights.
• Assist in the development of standardized reporting templates and processes.
• Create charts, graphs, and other visualizations to present key findings in a clear and concise manner.
• Prepare regular financial and operational reports and dashboards for management review.
• Ability to work independently in a fast-paced and rapidly changing environment.

     Preferred qualifications

• Experience with SQL, GBQ, Python, Splunk, or other data mining tools.
• PMP, lean, or six sigma certifications.
• Experience designing and launching new solutions for infrastructure and process.

Benefits:

At Rent the Runway, we’re committed to the wellbeing of our employees, and aim to create a workplace that fosters both personal and professional growth. Our inclusive benefits include, but are not limited to:

• Paid Time Off including vacation, paid bereavement, and family sick leave - every employee needs time to take care of themselves and their family.
• Universal Paid Parental Leave for both parents + flexible return to work program  - because we know your newest family member(s) deserve your undivided attention.
• Paid Sabbatical after 5 years of continuous service - Unplug, recharge, and have some fun!
• Exclusive employee subscription and rental discounts -  to ensure you experience the magic of renting the runway (and give us valued feedback!).
• Comprehensive health, vision, dental, FSA and dependent care from day 1 of employment - Your health comes first and we’ve got you covered.
• 401k match - an investment in your future.
• Company wide events and outings - our team spirit is no joke - we know how to have fun!

Rent the Runway is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant or employee based on any legally-recognized basis, including, but not limited to: race, color, religion, sex (including pregnancy, lactation, childbirth or related medical conditions), sexual orientation, gender identity, age (40 and over), national origin or ancestry, citizenship status, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed service member status or any other status protected by federal, state or local law.