Amazon

Client Program Manager , Fashion Data Services - Amazon Fashion Tech

United States US

US
Search this Category


Job Description

Job Summary
DESCRIPTION
The Fashion Data Services team within Amazon Fashion Tech power new products that deliver cutting-edge AI to the fashion domain. Our team of Fashion Specialists provide high-quality labeled fashion data at high-speed and low-cost for Machine Learning (ML) and Computer Vision (CV) technologies, enabling delightful customer experiences. We partner with product and science teams to support launching new customer-facing fashion experiences and assist them throughout the product lifecycle.
Were team that thrives in a start-up like environment where flexibility, teamwork, and ability to deliver solutions are a priority.
You will have the opportunity to conceptualize, design and build AI driven experiences across Echo Devices, Amazon retail website, and Amazon Shopping mobile app. You will collaborate with various partner teams throughout Amazon and you will be a key member of a team thats building innovative new experiences that will change customers lives.
Amazon Fashion is revolutionizing how customers shop and buy clothing. Our business uses machine learning technology and stylist intuition to give great personalized recommendations based on customer preferences. If you are ready to work hard and engage in a rapidly changing industry, this position is right for you. We offer a creative, fast paced, entrepreneurial work environment where youll be driving cutting edge innovation at Amazon.
We are looking for a Client Program Manager to serve as a liaison between Fashion Data Services and our client teams. The Client Program Manager will drive projects to completion and improve processes, working directly with internal customers and Fashion Specialists. Client Program Managers are experts on their client’s initiatives, and as part of their scope, own all stages of project management including planning, execution, and project delivery.
Key job responsibilities
Responsibilities
• Build and maintain relationships with new and existing clients and act as the main point of contact for specific projects
• Create a strategic plan for the client’s annotation projects and requirements
• Work with multiple internal teams (data, product, R&D, engineering, and science) to align on clients goals, requirements, headcount, and deadlines
• Own and lead various machine learning algorithm projects, some prior examples include **outfit recommendations on Detail Page, “Alexa, What Should I Wear?” and Virtual Closet**
• Meet customers’ expectations by diving deep into their KPIs, analyzing performance data, and identifying opportunities to improve efficiency
• Report progress, learnings, and goals to operations team in order to drive process improvements
Required Qualifications
BASIC QUALIFICATIONS
• 2+ years Fashion industry experience in fashion styling, merchandising, marketing, retail, design, or editorial work.
• Excellent MS Excel skills
• Passion for project management and customer service
• Exceptional communication, negotiation, and conflict resolution skills
• Ability to engage and build partnerships
• Ability to strive in a fast pace and dynamic environment
• Strong analytical capabilities
• Passion to learn and understand new technologies and complex platforms
• Ability to multitask and handle various tasks and priorities
Preferred Qualifications
PREFERRED QUALIFICATIONS
• Previous program or account management experience.
• Proven record of delivering on high-level tasks
• Previous management and/or leadership experience
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Company - Amazon.com Services LLC
Job ID: A1883884


Click here Report Job to report this job.
Do you want the latest remote jobs?
Get the latest jobs straight to your inbox.
US United States
GB United Kingdom
CA Canada
Notify Me
Send
Please enter a valid email address
Success!
Your job notification has been set up
Check your mailbox to confirm your email address


Cookie Policy

We use cookies to make your experience of our website better. You can use your browser's settings to change your preferences. Otherwise we'll assume you're ok to continue

I'm fine with that
Rate this job