Fynd company logo
Fynd
Actively Hiring
Fresh Fashion, Straight From Brand Stores501-1000 Employees
  • Scale Stage
    Rapidly increasing operations
Website
Location
Company size
501-1000 people
Total raised
$3.4M
Company type
Startup
Markets
MobileE-CommerceFashionArtificial Intelligence

Jobs at Fynd

Fynd is a unique O2O fashion e-commerce portal, which brings the latest in-store fashion online. Its capability of sourcing its products across various fashion categories directly from most prominent brand's stores across the globe , enables it to develop this edge over any other e-commerce marketplace. With its aim to help retail brands generate more sales, Fynd has introduced impressive tech solutions that enable retail stores to look beyond their offline territory and venture into online sales, including the online portal fynd.com
Filter by
Team
Location
Type
Designer

Webflow Designer - 3

NewPosted 1 week ago

Webflow Designer - 3

  • Plan, design, build, and publish new improvements on the website using Webflow.
  • Independently implement complex animations and interactions using GSAP in Webflow projects.
Other

Business Program Manager

NewPosted 2 weeks ago

Business Program Manager

Fynd is India’s largest omnichannel platform and multi-platform tech company with expertise in retail tech and products in AI, ML, big data ops, gaming+crypto, image editing and learning space. Founded in 2012 by 3 IIT Bombay alumni: Farooq Adam, Harsh Shah and Sreeraman MG.

Operations

Finance Manager- Revenue & Settlements

NewPosted 2 weeks ago

Finance Manager- Revenue & Settlements

Fynd is India’s largest omnichannel platform and multi-platform tech company with expertise in retail tech and products in AI, ML, big data ops, gaming+crypto, image editing and learning space. Founded in 2012 by 3 IIT Bombay alumni: Farooq Adam, Harsh Shah and Sreeraman MG.

Engineering

Computer Vision and Machine Learning Researcher

NewPosted 1 month ago

Computer Vision and Machine Learning Researcher

  • You will participate in cutting edge research in machine learning and computer vision
  • Learn and implement state of the art best practices to create accurate and lightweight models