Who you are?


  • You're excited about our vision to reshape the food industry.
  • You believe diversity, collaboration and teamwork are key drivers for success.
  • You have hands-on experience or working knowledge of data and modelling 
  • You find data sets as your new (AI) wireframes 
  • You know how to translate data sets into revenue generation features and products 
  • You are a great communicator who talks two languages: Technical jargon with the Software team & Product Jargon with the other business functions
  • You are getting stuff done: challenge, facilitate and deliver with a “can do” approach 




  • Develop products and features that optimize crop production based on our decentralized farming system
  • Utilize our camera computing and biofeedback data to maximise plants’ health and nutritional value 
  • Identify opportunities and initiatives to increase our products’ sustainability 
  • Support , facilitate and ease the introduction of new crops within the indoor farming industry 
  • Have a clear pulse on innovations across the broader AI community and help us identify new opportunities and look around corners.
  • Define functional requirements, develop detailed product specifications and associated project work plans for infarm’s AI/ Machine Learning features and key enhancements requests
  • Identify and track key success metrics for all of your products focusing on a business and user value 
  • Be world class with running conclusive experiments quickly to validate hypotheses
  • Manage stakeholders across Infarm, as well as external partner stakeholders


Must have qualifications:


  • Bachelor of Science in Computer Science, Engineering, Statistics, or similar field and Master of Science or Business Administration degrees.
  • 5+ years of experience in complex product management 
  • Familiar with agile product development methodologies such as scrum and kanban
  • Familiar with JIRA and Confluence 
  • Fluency in English


Special things we would like to see:


  • Background in crops science, biology of horticulture with a deep understanding of optimising the growing environments of plants 
  • Experienced in developing multidisciplinary products including IoT and hardware domains
  • Familiarity with and hands-on knowledge of using data-science tools and libraries such as Pandas, SciKit, TF-Keras, Matplotlib, OpenCV, statsmodels, bokeh
  • Familiar with Google Cloud Platform tools (BigQuery, DataStudio, Compute, Colab, Cloud Functions)



You will be based in our London plant hub, as well as our lab at Newcastle University

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