Product Manager

Key Responsibilities

As a key member of the product team, you will work with engineers, research scientists, designers and marketing to launch cutting-edge features powered by Machine Learning and AI.

You will be responsible for defining & delivering on technical roadmap that will maintain our market leadership and advance our market presence,

  • Use data and judgement to craft our strategy and define clear roadmaps
  • Partner with strong technical teams to translate customer needs into workable technology solutions
  • Develop designs and prototypes to a high standard with engineers
  • Deliver on our roadmap by prioritizing for maximum impact
  • Anticipate delivery risks, and manage multiple complex trade-offs
  • Rigorously execute on experiments and measure outcomes
  • Build relationships and make transparent decisions with diverse teams

Requirements

  • 5 years’ experience of technical product management and it’s processes – preferred experience in delivering cloud based SaaS products 
  • Degree in engineering or equivalent.  MBA is desirable
  • Excellent written and verbal communications skills, including the ability to create and deliver clear, concise presentations
  • Willing to tackle new challenges as part of a team or independently
  • Highly motivated, demonstrable initiative and accountability within a dynamic work environment
  • Think creatively and solve complex problems in a fast-moving environment
  • Show strong judgement: you will have experience of making sound decisions based on both, data and intuition
  • See the big picture whilst handling the details
  • Communicate quickly and effectively with different teams
  • Build relationships and trust with others by being transparent
  • Embrace challenges, persist, and learn through support and feedback
  • Inspire others with your ideas and challenge the status quo
  • Experience in leading multiple complex projects
  • Experience in product management (preferably e-commerce)
  • Understanding of product development lifecycle in an agile environment
  • Experience with machine learning, streaming data, API product management, segmentation