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Job · Senior

Technical Project Manager

Project Manager • Senior • Remote • Full-time Greece Greece

Senior Technical Project Manager owning end-to-end delivery of complex cybersecurity, AI, DevSecOps and software platform initiatives across engineering, security and product teams.

Responsibilities

  • Own the end-to-end delivery of technical projects related to cybersecurity, AI, automation, DevSecOps and software platforms
  • Define project scope, milestones, timelines, deliverables, risks, dependencies and success criteria
  • Translate business, product and customer requirements into technical execution plans
  • Work closely with engineering, security research, DevOps, product and leadership to ensure alignment
  • Break down complex initiatives into tasks, epics, user stories and delivery milestones
  • Track progress, identify blockers early and escalate risks
  • Maintain project documentation, technical roadmaps, decision logs and delivery reports
  • Coordinate product releases, technical pilots, proofs-of-concept, customer onboarding and production deployments
  • Manage risks related to delivery timelines, technical complexity, scope creep, security and compliance
  • Facilitate technical meetings and drive clear decisions and next steps
  • Improve internal delivery processes, agile workflows and communication structures

Requirements

  • 5+ years of experience as a Technical Project Manager, Engineering Project Manager, Delivery Manager, Product Owner or Technical Program Manager
  • Demonstrated experience managing complex technical projects from planning to delivery
  • Strong understanding of software development lifecycles, agile delivery and engineering workflows
  • Experience working directly with software, DevOps or security engineers, or infrastructure teams
  • Ability to understand technical architecture, APIs, cloud environments, CI/CD pipelines, integrations and security-related requirements
  • Strong ability to convert high-level goals into structured plans, milestones, tasks, owners and timelines

Nice to have

  • Familiarity with cloud platforms such as AWS, Azure and GCP, and with Kubernetes
  • Experience with Jira, Confluence, Git and GitHub
  • Exposure to AI/LLM-related technical projects

Soft skills

Strong organizational disciplineAbility to operate independently with minimal supervisionAbility to challenge unclear requirementsCoordinating demanding stakeholders

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