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Product Manager- Machine Learning
Data EngineeringHerzliya

The Data Engineering department is responsible for the full-stack design and development of the company's central data & ML services and business platforms. The department is responsible for the overall projects, design, architecture, and development of huge scale and very challenging cloud-based Big Data, machine learning, and business applicative platforms for ensuring excellence in the performance of business aspects including games & product design, marketing, retention, monetization, etc. Department solutions support the optimization of the company's overall business performance.


  • Design, plan and enhance our next generation Machine Learning platform
  • Lead ML-based capabilities and features in various areas of our platform
  • Working cross-functionally and building strong relationships with key customers (data engineers, ML engineers, product analytics, data scientists, and other business teams) to allow us to understand gaps and build the right solutions
  • As an expert in big data, analytics, machine learning, and cloud services you will be responsible for innovating new ideas and solutions on how we use technology and data to increase the productivity of the company
  • Own end to end product life cycle right from concept till post-delivery activities
  • Deliver state of the art products that are recognized as the best, in the big data industry
  • Research and identify stakeholder needs and effectively manage stakeholder expectations
  • Involve in the decision making of technical architecture, design, and suggested new technology for our ML projects

What we expect:

  • At least 2 years experience as a product manager of machine learning-based solutions - must!
  • Experience working with complex data & analytics solutions - must!
  • Experience working with Agile development methodologies
  • Proven track record of developing product roadmaps and go-to-market strategies, conducting customer research, and successfully delivering products
  • Passion for everything related to data, technology, and innovation
  • Fast learner that can and likes to dive into the details of cutting-edge technologies
  • A ‘can do’ spirit combined with high energies and a positive attitude
  • Good problem-solving skills
  • B.Sc. in Computer Science or equivalent practical experience (MBA is an advantage)
  • Technical experience as a data engineer or data scientist– a big advantage


What we offer our Employees:

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What's next?

Send us your CV
Found the perfect job for you? Excellent. Send us your resume and a link to your portfolio, if applicable.
Test task
Our recruiters will ask you to perform a test task. This will allow you to demonstrate your professional skills and give us the chance to evaluate your work. If your test task meets our requirements, you will be invited for an interview with the technical team lead.
Professional Interview
This will give you the opportunity to tell us about your experience and allow us to explain the technical aspects of the job. If you live a long way from the studio, we can arrange a Skype interview instead.
Meeting with HR
After the professional/team lead interview, you will meet with our HR specialist. They will give you more information about your development prospects in the company and provide details regarding our employee benefits program.
Meeting with the VP / CEO
In some cases, depending on the position, you will be invited to meet the VP / CEO, for a final decision.
Ready to start
Once the above stages are complete, we will invite you to our studio to make a formal job offer. If you live in another city or country, you can use our relocation program to help you hit the ground running.
First day at work
You're ready to begin life at Plarium. Welcome, friend.
Keeping in touch
We keep all resumes and job applications on file. Don't give up if you're unsuccessful first time round - we'll contact you as soon as a suitable position appears.
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