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We are looking for a Technical Payment Product Manager who will join our amazing Product group responsible for all of our Payment Services and related Products.
The Technical Payment Product Manager will lead key Integration Projects and explore new frontiers of Payment-related products.
The Technical Payment Product Manager Will Report to the Payments Services Team Leader.
IN THIS POSITION YOU WILL:
Work closely with Customers (internal and/or External), Sales,Business Development and customer success teams to define business requirements and scope of implementation. Serve as Gatekeeper for the new Business Initiatives. Routines: Discovery sessions, Costs and schedule estimations, project plan (Content & Effort), Business kick-off meetings.
Manage and prioritize tasks and backlogs (short term) and/or define Product roadmap & Vision (long term) Be responsible for the product strategy. Routines: Opening and categorizing Jira items, prioritizing capacity/Product backlogs.
Functionally Analyze and Design new Payment integrations and Products. Characterize new features and adjustments through receiving constant inputs and feedback from the field, R&D, customers, and the industry. Define Success KPIs and how to measure them. Routines: Design documents and PRDs, DR meetings.
Execute and Deliver shoulder to shoulder with R&D and QA as a key pivot in the Agile/Scrum process. Assume ownership in coordinating all the relevant stakeholders to make it happen within the defined schedule & content. Routines: Gate meetings, Test Gate meetings, assembling a project task force (engine, Web, mobile, embedded QA, etc) and conducting routine meetings. Constant communications and expectation alignment with customers.
Assist customers and business units with managing and deploying live pilots and/or fully deploying the new features and/or products in the field. Routines: prepare and help configure the production environments and analyze issues/bugs that arise during this time.
Serve as a key focal point in the knowledge transfer processes of every completed project.
Help facilitate our business units independence on the related day-to-day operations. Routines: Preparing a configuration guide, perform knowledge transfer sessions with the Payment Ops team and/or other related business units. Payment Ops Gate meetings.
Use data to measure a project or products success and analyze key factors contributing to it or preventing it. Routines: Database, BI and Kibana queries on all environments. Effort assessments. Project retrospective/Lesson learn meetings.

We are a leading mobile games company with a strong presence in the gaming industry. Our games are played by millions of users worldwide, and we strive to provide the best gaming experience through cutting-edge technology and innovative gameplay. We are seeking a highly skilled and experienced Data Engineering Director to lead our data engineering department and drive our data infrastructure to support internal data applications, analytics, data science models, and the games themselves. This is an exciting opportunity to join a dynamic and fast-paced environment at the forefront of mobile gaming.
Responsibilities
Lead and manage a team of data engineers, data product managers and QA, providing guidance, mentorship, and performance management.
Develop and execute the data engineering strategy to support internal data applications, analytics, data science models, and games features.
Collaborate with product managers, data scientists, and analysts to understand data requirements and design robust data solutions.
Oversee the design, development, and maintenance of scalable and high-performance data pipelines and ETL processes.
Implement and optimize data storage, retrieval, and processing systems for large volumes of data in real-time environments.
Evaluate and implement advanced open-source tools and technologies to improve the efficiency and effectiveness of the data engineering team.
Ensure data quality, data integrity, and data governance standards are maintained throughout the data infrastructure.
Monitor and troubleshoot data infrastructure performance and reliability issues, ensuring timely resolution.
Stay up-to-date with the latest trends and advancements in data engineering, big data technologies, and industry best practices.
Collaborate with cross-functional teams, including engineering, operations, and business stakeholders, to align data engineering initiatives with organizational goals and priorities.