QA Lead

Tel Aviv · Full-time · Senior

About The Position

Seebo is leading the way into the Fourth Industrial Revolution and beyond, working with some of the world’s biggest manufacturing brands – like Nestle, ICL, and Mondelez.

Our proprietary Process-Based Artificial Intelligence enables manufacturers across many industries to save millions by predicting and preventing production losses.

Seebo is now looking for a hands-on, business-oriented, and highly motivated QA Lead to join our R&D team. 

We are looking for a strong analytical person who will lead all the testing for our Industrial Artificial Intelligence (AI) platform working closely with Seebo’s Developers and Product Managers. 

As our QA lead, you will establish the domain within the company and will greatly contribute to our product success.

What you'll do:

  • Manage a small QA team with growth potential.
  • Release management -  planning, testing, tracking, release, deployment, communication, and risk management.
  • Implement and drive manual and automated testing strategies and frameworks.
  • Define, create, and maintain test plans.
  • Define, create, and maintain best practices of bugs root cause investigation & life cycle documentation.
  • Identify and provide feedback on gaps/anomalies in the requirements and products.
  • Work closely with Product, Development, and Data Science teams.


  • A Senior QA Engineer with at least 4 years of experience in QA, building, and executing strategic test plans for complex products. 
  • Familiarity with Saas technologies and SQL at an advanced level.
  • Strong analytical and troubleshooting skills.
  • Strong knowledge of software QA methodologies, tools, and processes.
  • Experience in writing clear, concise, and comprehensive test plans and test cases.
  • Experience working in an Agile/Scrum development process.
  • Strong communication skills.
  • Hands-on experience with automated testing tools and scripts.
  • Engineering / technical degree from a leading university.

Nice to have:

  • Experiences with big data technologies and data-driven systems.
  • Familiarity with one of the following: ReactJS, Redux (or equivalent), Mongo DB, Node.js, and typescripts.
  • Degree in Computer Science, Engineering or a related subject.
  • Experience as a Scrum master.

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