EDITED logo EDITED

Product Manager

Creata il 23-01-2018
Location London

Descrizione


At EDITED, we have a world class data and engineering team, and a market-leading product.  As we’re growing fast, we need to build out our product management team.


We’re looking for someone who is a creative problem solver, an innovator who can collaborate closely with all members of the organisation - both on the commercial and operational/technical sides of the business to build user-focused products that enable retail businesses to make critical business decisions.


You will work end-to-end - including discovery of problems and scoping user requirements, right through to delivering the best solution to meet our customers’ needs.  You’ll have direct contact with sales, marketing and customer success, communicating the what and why of new developments.


You’re excited by a complex product, and have a knack for picking things up quickly and running with them. You’re committed to ruthless prioritisation - you won’t be afraid to make tough decisions.


The product management team at EDITED is growing but still at a stage where you can make a big impact. This is an ideal opportunity for you to take on a good chunk of responsibility, own whole new areas of business, and help define how we build and manage product. We’re open to trying new things and seeing what works - it’s in our culture to learn, challenge and improve.



Requirements


Essential


  • You have a minimum of 2 years experience as a Product Manager for a B2B product (ideally SaaS)
  • Experience in product discovery, talking to customers, and interpreting user research
  • Experience in crafting and managing a product backlog
  • Experience in executing against a roadmap
  • Excellent communication skills
  • Experience working closely with graphic designers and software developers

Desirable


  • Experience with a data or analytics-heavy product.
  • Experience working on integrations and/or API products.
  • You have a keen interest in, or experience with the apparel and/or retail industry
  • Experience working with data science teams and/or products that leverage machine learning/AI.
  • Comfortable/confident with excel
  • Experience with BI tooling
  • Experience with design/discovery sprints

Benefit

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