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The Sales & Partnerships Manager will identify potential partnerships, manage the pipeline of partnerships, and maintain relationships with merchants after onboarding. Responsibilities include negotiating terms, understanding venue performance, and collaborating with the sales team to implement effective strategies.

The Chief Accountant at Wolt will manage all aspects of accounting for Wolt Georgia, ensuring accurate and timely monthly reporting, compliance, and supporting local teams with accounting queries. The role emphasizes strong communication and efficiency, focusing on meticulousness and ongoing development within the finance team.

The Senior Accounts Receivable Specialist at Wolt is responsible for managing aged receivables, timely collection, preparing monthly provisions for bad debts, analyzing customer payment behaviors, and reporting on AR activities. This role emphasizes strong communication and accountability within the finance team as they support the company's expansion.

The Senior Accounts Receivable Specialist will manage aged receivables, ensure timely collections, analyze customer payment behavior, prepare financial documentation, and conduct monthly reporting tasks. The role emphasizes accountability and communication within the finance team to improve efficiency in operational processes.

The Workforce Management Specialist will optimize scheduling operations, analyze historical data for demand patterns, and ensure effective scheduling routines across support teams while collaborating with operational stakeholders.

As a Workforce Management Specialist at Wolt, you will forecast, plan, schedule, and analyze support shifts using WFM and BI tools. You'll collaborate with team leads to develop strategies, create reports, monitor performance metrics, and ensure scheduling accuracy to enhance support operations.

As a Workforce Management Specialist at Wolt, you will manage scheduling routines and develop standardized processes for agent time-off requests and absences. You'll analyze historical data to predict demand patterns and support the scheduling operations for optimal service levels.