Product Manager for Data Engineers in the Yandex Cloud Data Platform

We are building a technological platform for creating and developing IT products for Yandex Cloud. Among our clients are over 30 thousand organizations, including large banks and retail chains. We believe the future lies in cloud technologies.

The Data Platform is a key differentiator for Yandex Cloud as a cloud provider in Russia. It is a set of cloud services that allows companies to unify various data sources, optimize their development and usage processes, improve information quality, and quickly respond to market changes and business tasks. The platform includes technologies such as databases, data transformation and storage services, and tools for data analytics and visualization.

About the team

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What tasks await you

Improving Data Processing Service Integration Currently, the Yandex Cloud Data Platform has enough services to organize analytical systems of virtually any complexity. However, the assembly of such systems falls on our clients and their data engineers. We would like to significantly simplify this work so that the data engineer can focus directly on working with data, and the infrastructure part of the data platform can be created quickly and easily. Conditionally, so that data engineers in DataOps do more Data and less Ops.

Improving Existing Services Data processing services such as Spark, DataProcessing, Airfow, and others are continuously evolving. You will constantly improve them so that they solve customer tasks even better. This requires regularly collecting feedback from clients and partners, tracking product metrics, and monitoring market trends.

More about product creation at Yandex — in the Yandex for Products channel

We expect you to

• Have worked as a product manager and implemented successful product changes
• Have worked in a data engineering role or participated in building an analytical data platform
• Understand product discovery, be able to conduct qualitative and quantitative research and work with analytics
• Be able to conduct competitive analysis
• Are capable of formulating, prioritizing, and testing product hypotheses
• Understand how the sales cycle works, are familiar with management and pricing
• Are able to speak at public events

Will be a plus

• Have worked as a developer, data analyst, or data engineer
• Are well acquainted with cloud solutions Google Cloud Platform, AWS, Microsoft Azure, especially data-related services
• Are capable of understanding complex technical products
• Have worked in the B2B field