Search the 8 jobs at Social Discovery Group

The Chief of Product will oversee the complete business plan for products from concept to production, manage an international product team, prioritize user requirements, and ensure successful product monetization. The role requires strong leadership skills and experience in managing mobile applications.

The QA Engineer (Manual) will be responsible for test planning, estimating testing deadlines, creating test cases, and improving testing processes. The role involves continuous development and stabilization of software patches in a fast-paced environment while ensuring proper documentation of tests and defects.

As a Database Administrator, you will collaborate on existing systems, implement new database architectures, optimize performance, and maintain documentation for database designs and processes.

The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.

As a Project Manager at Social Discovery Group, you will define project scopes, develop plans, lead cross-functional teams, ensure clear stakeholder communication, manage risks, and track project performance. You will coordinate work among various professionals to achieve project goals in a fast-paced tech environment.

As a QA Engineer for Kiseki, you will focus on test planning, writing test cases, and stabilizing patches for a new dating app in the Japanese market. In this role, you'll improve the testing process within a remote team, adhering to agile methodologies and Continuous Delivery.

As a Product Manager (NLP), you will lead a team of ML engineers to enhance NLP models and improve product performance. Your tasks will include developing strategies, managing model integration, optimizing training processes, and overseeing testing and deployment of ML services.

The Senior Product Analyst will evaluate product changes, design experiments, analyze results through A/B testing and causal inference, identify growth points, and maintain product dashboards. Required skills include strong analytical expertise, proficiency in Python and SQL, and experience with BI tools.