Started as a little startup in 2016, NewGMedia has grown into a big family of over 300+ creative minds, spread out in 38 countries around the world. Our main pride and joy is our award-winning Gambling Company. But that’s not all — we also have a thriving Affiliate Program, a handy Platform, and a super helpful Recruiting Agency.
2 квітня 2024

Machine Learning Product Manager

Київ, Львів, Лімасол (Кіпр), Рига (Латвія), віддалено

As an ML Product Manager, you will drive your direction autonomously, make data-driven decisions, and witness your impact on the business.


Why Join Us?

  • Dedicated Team: Manage a specialized ML team designed to achieve your goals.
  • Autonomy: Make your own decisions, and influence the product and processes. We are open to your ideas and trust your expertise.
  • Prestige: Join a multi-award-winning Gambling Company, contributing to a journey that has established 9 top iGaming brands in the markets of Tier-1 countries.


Key Responsibilities:

Identify and Prioritize Application Fields:

  • Collaborate with cross-functional teams to understand business needs and challenges.
  • Conduct market research to identify potential application fields for machine learning solutions.
  • Prioritize areas where machine learning can enhance operational efficiency and deliver tangible business impact.

Selection of Appropriate Approaches and Solutions:

  • Evaluate and recommend machine learning algorithms and techniques suitable for specific use cases.
  • Work closely with data scientists and engineers to design and develop scalable machine learning solutions.
  • Ensure alignment between business goals and technical capabilities of chosen approaches.

Creation and Launch of Solutions:

  • Lead the end-to-end development lifecycle of machine learning solutions, from concept to deployment.
  • Collaborate with software development teams to integrate machine learning models into operational systems.
  • Define and track key performance indicators to measure the success of implemented solutions.

Cooperation with Data Warehouse and BI Teams:

  • Collaborate with the Data Warehouse team to ensure the availability of high-quality and relevant datasets for training and testing machine learning models.
  • Work closely with the Business Intelligence team to derive actionable insights from machine learning results.
  • Identify opportunities for data warehouse improvements to enhance overall data management capabilities.

Stakeholder Communication and Collaboration:

  • Communicate effectively with stakeholders, including operational teams, executives, and technical teams, to ensure a shared understanding of project goals and progress.
  • Foster a collaborative environment and build strong relationships with cross-functional teams.
  • Act as a bridge between technical and non-technical stakeholders, translating business requirements into technical specifications.

Skills & Qualifications Required:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field.
  • Proven experience (3 years) in product management, with a focus on machine learning solutions.
  • Strong understanding of machine learning concepts, algorithms, and practical applications.
  • Experience working in a cross-functional environment with operational teams.
  • Experience building a Data Warehouse or Data Lake will be a plus.
  • Excellent communication and leadership skills.
  • Ability to thrive in a dynamic and fast-paced work environment.


Your Hiring Journey:

Call with a Recruiter ➡️ Interview with CPO and Delivery Director ➡️ Final Interview with Head of Recruitment ➡️ Job offer 🥳


Perks of Being with Us:

  • Time Off: 20 vacation days, 36 sick days annually.
  • Learning: English classes, learning compensation, conference and seminar support.
  • Professional Growth: Emphasis on internal promotions for career advancement.
  • Health Benefits: Annual budget for health expenses.
  • Special Occasions: Extra day off for birthdays, marriage bonus, enhanced maternity support.
  • Work Environment: Minimal bureaucracy, no overtime, necessary tools and tech provided.
  • Corporate Events: Team-building activities in a multicultural setting.
  • Work-Life Balance: Flexible remote, office, or hybrid work options without time tracking.


Ready to craft the future of iGaming with us? Join the company where ideas transform into magnificent results!

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