Data Product Manager
Data EngineeringHerzliya
The Data Engineering department is responsible for full-stack design and development of the company 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.


  • Leading the entire Data projects / product lifecycle: define product road-map, gather customer requirements, define product specifications, Interface with engineers and QA Team, finalize the delivery and launch of innovative products
  • Deliver state of the art products that are recognized best in the big data industry
  • Translate/Mapping business requirements into a detailed and technical designs cross all layers: analytical products, DB modeling, data infrastructure, environments and reporting
  • Be a hands-on product manager involved deeply in the day to day of the engineering and R&D team
  • Lead, plan, prioritize and conduct ongoing project deliverables, goals and milestones based on Agile (Scrum) methodology
  • Work closely with both local and remote cross-functional development, QA teams and end users, to ensure deliveries are on time and in best quality
  • Design enhance and plan our next generation Data AI/ML based on google cloud ML
  • As an expert in big-data, analytics, machine learning and cloud services you will be responsible for innovating how we use technology and data to increase the productivity in Plarium
  • Involve in reviewing and approving of technical architecture, design and suggested new technology


  • 3+ years of experience as a Product Manager of a data product, working with complex data & analytics solutions - must!
  • Understanding how the product’s use cases affects data modeling, data infrastructure, and data analytics 
  • Experience with big data architecture and infrastructure - advantage
  • Passion for everything related to data, technology, and innovation
  • A Doer, with a proven track record of making an impact 
  • Proven ability to drive and deliver results
  • Background with scripting languages - Python - advantage
  • Knowledge or experience in data science - advantage
  • Bachelor’s/Master’s degree in a relevant field
  • People’s person, a passionate leader, a storyteller
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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.