Senior Engineering Manager – SaaS, Agentic AI (Poland)

Jeppesen ForeFlight Careers; Województwo pomorskie; On-site; PLN 400,000 - 650,000; Full time

Benefits offered by this job

Private medical insurance

Life insurance

Pension plan with Employer contribute

Multikafeteria platform

Employee Assistance Program

Flight rewards

Job summary

Jeppesen ForeFlight seeks a Senior Manager in Poland to lead managers and their teams (25–40 people). You will set site strategy, drive SaaS execution, and guide organizational change while staying close to the work and empowering teams to win.

This role emphasizes service, clarity, and outcomes with a focus on agentic AI adoption, cross-functional collaboration, and building leadership density within a global aviation data program.

Qualifications

• Engineering degree or MBA is required.
• Proven experience leading managers of managers in large engineering organizations.
• Strong strategic thinking with portfolio and site strategy experience.
• Excellent communication skills to align execution with outcomes.

Responsibilities

• Lead with service, not control and mentor managers of empowered teams.
• Shape strategy and portfolio to align with global agentic AI adoption.
• Define site strategy for Poland and integrate with global priorities.
• Drive SaaS execution with modern practices: CI/CD, observability, and workflow hygiene.
• Governance through risk logs, release reviews, and dashboards to measure outcomes.
• Lead organizational change and grow leaders while managing large-scale transformations.

Skills

SaaS leadership

lead managers of managers

strategic thinking

change management

excellent communication

Education

Engineering degree

MBA

Job description

Jeppesen ForeFlight seeks a Senior Manager in Poland to lead managers and their teams (25–40 people). You will set site strategy, drive SaaS execution, and guide organizational change while staying close to the work and empowering teams to win.

This role emphasizes service, clarity, and outcomes with a focus on agentic AI adoption, cross-functional collaboration, and building leadership density within a global aviation data program.