Join the team of an emerging startup redefining the standards in Machine Learning-as-a-Service

Role: Account Executive

Shoodoo is seeking its first Account Executive. The selected individual will initiate the Inside Sales team from our office Tel Aviv targeting the US mid-sized organizations. The candidate must be able to generate our SAAS product sales – qualifying prospects, demonstrating the predictive analytics solution and closing the deals sales over the phone.

Must have

A strong ability and motivation in growing a pipeline, managing the sales process and be an excellent closer desire.


  • Qualifying leads and turning them into sales
  • Close sales and meet sales quota within the generated sales pipe
  • Understand customer needs and requirements
  • Sell the benefits of Shoodoo’s predictive analytics solutions we provide to potential clients
  • Tenaciously follow-through and prioritize client needs in relation to sales opportunities for the company
  • Contact and generate interest from prospects attained through marketing campaigns
  • Conduct product demonstrations to interested clients via web-based conferencing


  • Minimum 2 years of Inside Sales experience (selling over the phone)
  • B2B sales experience
  • English – Native
  • Proven over achievement record with high tech inside sales to the US market
  • Excellent phone & email & technical communication skills
  • Willingness to work in US hours, Monday to Friday
  • Great ability to capture the business drivers and buying process in business enterprises
  • Documented success in turning leads into sales revenue
  • College/Academic degree


  • Experience with Mid-sized enterprises (300-3000 employees, US$100M to US$1B in turnover)
  • Experience in cold calling as well
  • MBA
  • Experience with predictive analytics / machine learning / AI solutions

Reporting: to the CCO (Chief Customer Officer) | Office location: Tel Aviv | Contact:

Last updated – January 2019

Role: Development Engineer

Join the evolving R&D team of Shoodoo, work with the best cloud engineering and data science leaders to push forward Shoodoo’s sophisticated and large scale backend.

We’re looking for a smart, independent, highly motivated and passionate backend developer who isn’t afraid to roll up his sleeves and tackle new challenges every day. You will join the leading team of a startup redefining the standards in the Machine Learning-as-a-Service arena. As a backend developer, you will be building scalable, extensible and robust server-side APIs and applications using, among other things, Node.js and Python;

1.    Must have

Must have

A strong desire to join the leading team of a startup redefining the standards in Machine Learning-as-a-Service powered by a professional backend and frontend.


  • 3 years of programming, hands-on experience.
  • Team player with excellent collaboration skills
  • Able to learn new technologies and skills on your own
  • Experienced with Node.js, MySql Stored-Procedures, micro-services development


  • Be an essential part of the research, development and implementation of Shoodoo’s backend
  • Apply advanced technical know-how and creativity
  • Make sure Shoodoo supports large-scale and highly complex runtime environment
  • Develop scalable, efficient and technology-brilliant processes and infrastructure for data analyses, local and remote data science development and validation
  • Design strategies for effective use of infrastructure resources and tools
  • Maintain a culture of innovation via rapid prototyping and research to leverage new technologies and techniques


  • Bachelor’s degree in computer science or related field (or comparable experience)
  • In-depth understanding of software engineering principles, performance and design patterns
  • Strong analytical, problem-solving and troubleshooting skills
  • Deep knowledge of Node.js / JavaScript/Python, MySql, Linux
  • 3+ years experience building high performance and scalable services


  • Knowledge of AWS , Micro-services and server architecture would be a big plus !
  • Building CI/CD processes (Jenkins)
  • Familiar with Security best practices
  • Network protocols

Reporting: to the Head of Engineering