Simple Solutions

We are looking for a Senior Product Manager to lead the development of a B2B product that uses AI to personalize user experiences on entertainment platforms. This is a strategic role in a fast-growing, tech-driven product company focused on data, AI, and user engagement.

Key Responsibilities:

• Define and execute the product vision aligned with business goals and industry trends.
• Build and manage the product roadmap with a focus on personalization, data intelligence, and user behavior.
• Collaborate cross-functionally with engineering, marketing, and commercial teams.
• Lead agile product development cycles, track KPIs, and drive decision-making based on data insights.
• Research market trends, gather and analyze user feedback, and benchmark competitors.
• Represent the product in internal and external presentations, communicate vision and performance.

Requirements:

• 3–5 years of experience in product management, ideally in the iGaming or related digital entertainment space.
• Strong English (both spoken and written).
• Solid understanding of monetization metrics: LTV, Retention, ARPPU, ROMI.
• Experience in building retention strategies and running product experiments (A/B testing).
• Previous work in B2B environments is a must.
• Excellent communication and stakeholder management skills.

Nice to Have:

• Familiarity with UX principles and user flows.
• Experience with B2B marketing or sales-enablement tools.
• Structured mindset with the ability to work independently and lead cross-functional collaboration.

Benefits:

• $600/year educational budget
• English language courses
• Private health insurance

Middle Data Engineer
Remote | Full-time

We are seeking an experienced Data Engineer to join our team. In this role, you will utilize AWS tools to build and maintain components of a modern data warehouse. You will tackle challenging problems, manage large-scale datasets, and enhance ETL/ELT workflows to deliver impactful solutions.

Key Responsibilities:

• Gather and integrate data from various platforms such as BigQuery, ClickHouse, Hadoop (via HDFS or Hive), and AWS S3.
• Work with modern table formats like Apache Iceberg for efficient management of large datasets.
• Develop, monitor, and improve ETL/ELT workflows.
• Design and implement a centralized data catalog with clean, validated, and well-documented data marts.
• Automate checks for data quality and consistency across systems.
• Write and maintain technical and project documentation.

Requirements:

• Minimum of 2 years of hands-on experience in Python and data engineering roles.
• Practical experience with AWS cloud services, including S3, Athena, and Redshift.
• Proven experience working on ETL, ELT, and data warehouse-related tasks.
• Experience tuning SQL queries and optimizing ETL performance (e.g., partitioning, indexing).
• Familiarity with task scheduling systems and distributed job queues.
• Understanding of database design and trade-offs between different database types.
• Experience working with Hadoop-based systems, HDFS, and query engines like Hive.
• Familiarity with Iceberg tables or similar table formats (e.g., Delta Lake, Hudi).
• Basic understanding of computer science principles.
• Strong analytical thinking and a proactive approach to problem-solving.
• Comfort working in Linux environments and with containerized applications using Docker.
• Proficiency with Git and familiarity with Git-flow collaboration practices.

Nice to Have:

• Experience with workflow orchestration tools like Apache Airflow.
• Familiarity with DBT for data transformation.
• Knowledge of Infrastructure as Code tools (Terraform, Pulumi).
• Experience with NoSQL databases such as MongoDB, Elasticsearch, or Redis.
• Familiarity with the Kafka ecosystem (Kafka Streams, Kafka Connect).
• Experience with BI platforms and visualization tools like Tableau, PowerBI, or Apache Superset.

Benefits:

• Education budget of $600 per year.
• Professional English courses.
• Medical insurance.