Geoservices management
Yandex.Auto product management: organization of software development team work process for embedded solutions; interactions with Chinese contractors; interactions with OEMs
«Yandex map editor» product management and Yandex maps production organization
About expert
A Head of Product at Yandex Self-Driving Group.
Valeriia applied their knowledge of Product management in Other on the following markets: Russia and China.
Valeriia built products like Autonomous vehicles (robots) using the variety of tools.
Other cases by Valeriia
Setting up efficient customer support
Organized pre-launch product UX testing, regular users research and new features backlog prioritization
Organized the company's participation in high-profile contests, resulting in Nimb becoming a winner of Smart City Expo worldwide Congress’s call for solution in the “Safe Cities” category and a finalist of Xprize Women’s Safety competition
Set up efficient client support
Robotic delivery implementation, daily cost-effective operations and growth
Launched commercial operations in Moscow with food aggregators and Russian Post
Launched a joint project with Grubhub at Ohio State University and the University of Arizona, that resulted in 1500 deliveries per day after 3 months
Launched pilot deliveries in Tel Aviv (Israel), Godeok (South Korea) and Dubai (UAE)
Similar cases
Setting up efficient customer support
Organized pre-launch product UX testing, regular users research and new features backlog prioritization
Organized the company's participation in high-profile contests, resulting in Nimb becoming a winner of Smart City Expo worldwide Congress’s call for solution in the “Safe Cities” category and a finalist of Xprize Women’s Safety competition
Set up efficient client support
Enhancing Analytical Infrastructure and Reducing Fraudulent Activities
Led the shift of analytical infrastructure, enhancing data resources and decreasing update errors by 90%. Increased identifiable traffic sources from 60% to 95%. Played a crucial role in reducing fraudulent responses from 28% to 1-4% by strengthening moderation and creating a fraud analytics direction. Contributed to a project reducing the cost of applications from groups by 70% and reducing vacancies in central Moscow from 20% to 6%.
