Product Manager (Product Intelligence / Machine Learning) in JatApp

We are looking for a self-motivated Machine Learning Product Manager with strong technical, problem-solving, and communication skills to work in a fast- paced environment. As a talented Machine Learning Product Manager, you will work with the machine learning team’s research results in collaboration with the back-end team to process them into product features. In addition, we are also optimizing the operation feature so that internal Stakeholders of the development and business organizations can perform our highly loaded Social Discovery platform backend operations better. How can ML technology optimized for mobile integrate into the product, and usability performance in the process. It is a position that constantly thinks about how to increase the user experience together. **About us:** JatApp is a group of successful companies that develops its own web products and mobile apps in various niches for over 9 years. We are proud that more than 20 mln users interact with our creations on a daily basis. JatApp nourishes its corporate culture and cares for each and every team member who contributes to the overall company success. **About our business unit:** For the past 2 years we have been actively involved in developing and promoting our own highly loaded Social Discovery platform. The product’s primary market is Tier-1 region, including but not limited to the USA, UK, Canada and leading European countries. Led by skillful and open-minded team, our brands continue growing and reaching top positions in their categories. By implementing extended data analysis approach, we make sure every aspect of product lifecycle is valued and improved to achieve continuous growth. As a part of our team, you will get a chance to dive into a well-structured and creative process of product evolution. **Responsibilities:** * Improve user experience with ML technology * Finding product improvement points through data analysis * Planning of new functions for product improvement **Requirements:** * Having knowledge related to ML, enabling smooth communication with ML research departments * Ability to design products in consideration of data understanding and data collection & analysis * Understanding and experience of real-time social network service * More than 3 years of related work experience and ability to write planning documents **Preferred Qualifications:** * Holds a degree in industrial engineering or computer engineering * Statistics or HCI-related degree holders * Understanding and experience of global service **Our team values:** * Result orientation: we set ambitious goals, take on complex tasks and successfully cope with them * Flexibility: the ability to think out of the box and change our strategies depending on market conditions * Teamwork: we have the common goal, we do not shift responsibility to others and overcome challenges together * Striving for development: we are constantly learning new things and evolving together **We offer:** * Comfortable office within walking distance of the metro station * Flexible schedule starting from 8 to 11 am, 8-hour workday * Opportunity to work remotely several days a week / month * 20 working days (4 calendar weeks of paid vacation) * Non-bureaucracy culture: questions are resolved quickly, opportunity to influence the processes, new ideas and proposals are always welcomed * We take care of our employees' health: fully covered health insurance, paid sick leave and gym * Free lunches, fruits, sweets * Weekly check points with a supervisor to monitor and assist in completing assigned tasks * Environment for development and growth: English courses, specialized courses, regular performance reviews * Experience and knowledge sharing between teams * Corporate events and team buildings where we celebrate our team and company’s victories and achievements * Relocation package (support with moving, one-time bonus) **Hiring process:** * We carefully consider each candidate’s application: in case we have chosen other candidates,you will receive the feedback; if the resume passes to the next stage, we will clarify a few basic questions and schedule an interview with you * HR interview: up to 1 hour * Interview with the Hiring team: introduction to the team and your potential manager; we will get to know your experience, skills while you will have a chance to learn more about our product and the team * Test task * Reference check * Job offer Recommend a candidate and get a bonus up to 1000$! Just fill in the form https://bit.ly/2I9emhB