ZEAL Network SE

Performance Marketing

• Drive the launch, growth and optimisation of paid digital marketing activities in Finland
• Create, manage and optimise paid digital campaigns across Google, Meta, TikTok, YouTube and Display
• Own campaign budgets and optimise performance against key business KPIs
• Analyse campaign results and translate performance data into actionable improvements
• Plan and run tests across audiences, creatives, channels and campaign setups
• Explore and launch new performance marketing channels
• Support tracking, measurement and reporting development
• Coordinate with internal teams, external agencies and partners to deliver campaigns
• Monitor the Finnish market, competitors and digital marketing trends

Senior Performance Marketing Manager

QA Engineer

• Shape and continuously improve the quality engineering strategy for the Backoffice application
• Design and build automated test infrastructure across unit, integration, API and end-to-end levels
• Develop reusable test fixtures, test-data seeding, environment tooling, harnesses and abstractions
• Build automated feedback loops and validation mechanisms for safer AI-assisted development
• Design regression coverage for critical workflows, complex permissions and financially, operationally or compliance-sensitive scenarios
• Strengthen CI quality gates and improve test execution
• Investigate defects, flaky tests and systemic quality issues
• Triage bug reports with internal users and reproduce issues
• Champion quality across the team and identify usability issues and edge cases
• Foster knowledge sharing with the wider QA community
• Collaborate with engineers, Product, UX and backend teams to identify risks, improve testability and build quality into development

Senior Quality Assurance Engineer – f/m/d

Full-stack Engineer

• Lead a product-focused engineering team building and evolving core B2B platform capabilities for internal business customers
• Hire, build, and lead a team of two engineers
• Evaluate and introduce a fraud detection and prevention platform
• Define and drive architectural decisions with the team
• Regularly write code, contribute to features, and solve complex technical challenges
• Champion effective use of AI in engineering workflows and explore AI applications within platform capabilities
• Partner with Product Management and internal businesses on product and technology strategy
• Deliver secure, robust, and maintainable technical solutions
• Collaborate with other teams to align APIs, technical interfaces, and architectural consistency
• Own and operate the domain and the team’s microservices

Team Lead Engineering – Fraud Prevention

Project Manager

• Own the entire lifecycle of AI features in Customer Operations—from ideation and business case development through implementation, monitoring, and optimization
• Drive the implementation of AI use cases for AI Chat and AI Email Agents in collaboration with Customer Support as well as Payments, Fraud & Verification
• Monitor and track the performance of implemented AI features
• Identify issues at an early stage and resolve them quickly
• Serve as the central point of contact for AI-related topics within Customer Operations
• Manage multiple projects in parallel for different stakeholders
• Monitor timelines, priorities, and expectations
• Translate Customer Operations pain points into AI and automation opportunities
• Coordinate cross-functional stakeholders to ensure successful project delivery
• Identify inefficiencies and opportunities for process improvement
• Develop smarter and more scalable ways of working

Project Manager – Customer Operations AI & Automation

• Manage the full lifecycle of AI features in Customer Operations—from ideation and business case development through implementation, monitoring, and optimization
• Actively implement AI use cases together with Customer Support as well as Payments, Fraud & Verification
• Develop use cases for AI Chat Agents and AI Email Agents
• Monitor and track the performance of implemented AI features
• Identify issues at an early stage and resolve them quickly
• Serve as the central point of contact for AI-related topics within the department
• Manage multiple projects in parallel for different stakeholders
• Align timelines, priorities, and expectations
• Translate Customer Operations teams’ pain points into AI and automation opportunities
• Coordinate cross-functional stakeholders and drive successful project delivery
• Proactively identify inefficiencies and opportunities for process improvement
• Challenge existing ways of working and develop smarter solutions

Senior Performance Marketing Manager

Senior Quality Assurance Engineer – f/m/d

Team Lead Engineering – Fraud Prevention

Project Manager – Customer Operations AI & Automation

Project Manager – Customer Operations AI and Automation