Ponsse

Sales

• Managing Ponsse France sales team and coordinating and supporting Selling dealer in France and Belgium
• Budgeting & forecasting sales volumes for PSAS and dealers (FR&BE)
• Goal setting and monitoring performance of Sales Reps
• Lead & Opportunity management and Offer base reporting
• Managing Operator training team
• Managing Used machine sales
• Do estimations for potential new and used machine purchaser for 6 month to year period
• Actively find new customers​ for new and used equipment – Active sales
• Planning and monitoring machine financing
• Order – delivery process management
• Planning DEMO´s and other field activities to improve sales together with Sales Reps.
• Taking care of CRM data in Salesforce (customer data, offer base, machine deals etc.)​ together with Sales Reps.
• Local marketing actions together with the marketing team

Sales Manager

Data Engineer

• Manage and maintain the integrity, accuracy, and consistency of enterprise master data.
• Optimize data governance, supporting business processes, and ensuring compliance across multiple systems.
• Collaborate with IT teams and business users to define data standards and resolve data-related issues.

Master Data Engineer

Artificial Intelligence

• Lead Ponsse’s Data and AI development team consisting of data, AI and API specialists.
• Responsible for Ponsse’s entire data asset, enabling high‑quality, scalable data platforms.
• Create intelligent services for Ponsse’s forest machines and business.
• Guide the development of Ponsse’s data, AI and API platforms.
• Drive Ponsse’s AI transformation and development initiatives globally.
• Collaborate closely with internal and external stakeholders to contribute to projects across Ponsse’s market areas.

Senior Manager, Data and AI Solutions

• Responsible for designing and utilizing data infrastructure
• Converting business requirements into end-to-end data solutions
• Encompasses data ingestion, warehousing, and publishing pipelines
• Play an active role in developing complex solutions
• Shape the technical direction of the data team
• Promote the widespread adoption of best practices and innovations
• Create procedures to ensure data accuracy and accessibility
• Work closely with other data, integration, and business system specialists