
Project Manager (AI Projects)
DPDgroup IT Solutions sp. z o.o.
14000 - 18000 PLN / HOUR
Hybrid
B2B
Status
Hexjobs Insights
Seeking a Project Manager for AI projects, focusing on logistics. Responsibilities include leading projects, defining goals, managing teams, and engaging with stakeholders. Requires 3-5 years in relevant roles with AI focus.
Schlüsselwörter
Project Management
AI Solutions
Data Science
ML Engineering
Agile Methodologies
Stakeholder Communication
Logistics Experience
Requirements Gathering
KPI Definition
Vorteile
- B2B contract type
- Hybrid work mode
- Opportunity to lead AI projects
- Participation in logistics-focused initiatives
- Work in an international environment
Technologies we use
About the project
Your responsibilities
- Leading projects related to AI agents (e.g., customer service, operations support, process automation) as well as data/ML initiatives in a logistics environment
- Translating business needs (operations, sales, customer service, IT) into concrete roadmaps, requirements, and a product backlog
- Defining goals, KPIs, and success metrics for AI solutions (e.g., reduction in handling time, improvement of delivery SLA, contact automation, operational savings)
- Planning and coordinating the work of teams: automation engineers, software engineers, analysts, testers, and logistics domain experts
- Managing the entire project lifecycle: discovery, PoC/MVP, pilot, scaling, maintenance, and continuous optimization
- Managing risks in AI projects (data availability and quality, model complexity, integrations, business-side changes)
- Structured communication with stakeholders: statuses, decisions, priorities, presenting results and recommendations at the business level
- Co-creating standards for running AI/ML projects within the organization (processes, artifacts, best practices)
- Close collaboration with logistics process owners in defining use cases, A/B tests, and rollouts
Our requirements
- Minimum 3-5 years of experience as a Project Manager / Product Manager / Tech PM in IT; experience with AI, data, ML, or analytics projects is a plus
- Very good verbal and written communication skills (Polish and English - working in an international Geopost environment)
- Hands-on experience delivering projects end-to-end: from needs analysis, through delivery, to implementation and impact measurement
- Good understanding of AI/ML fundamentals (e.g., traditional ML models, NLP, LLMs, agentic AI, workflows leveraging language models) - you understand limitations, data dependencies, and the model lifecycle, and you are genuinely curious about the latest developments in AI, actively follow emerging trends, tools, and approaches, and continuously explore evolving market best practices to apply them pragmatically in real-world projects
- Ability to work with technical teams (Data science, ML engineering, AI architecture, Software engineering) and ask the right technical questions, without the need to code independently
- Experience working with business stakeholders - gathering requirements, running workshops, managing expectations, prioritization
- Familiarity with project management tools (Jira or similar) and experience working in agile methodologies (Scrum, Kanban)
Optional
- Experience in logistics, e-commerce, last-mile delivery, or related companies (e.g., parcel delivery, fulfillment
- Experience working with AI agents (e.g., chatbots, voicebots, employee copilots, ticket automation)
- Experience in international organizations or complex corporate structures
- Familiarity with basic tools: ticketing systems (e.g., Zendesk), analytics/BI tools, MLOps platforms
This is how we organize our work
This is how we work
What we offer
- Salary: 14000-18000 net/B2B (depends on experience)
- Participation in AI projects at one of the largest logistics players in Europe, with real impact on operations and the experience of millions of users
- Opportunity to work on modern solutions (LLMs, AI agents, data/ML) in close collaboration with business stakeholders
- Real influence on shaping the AI project delivery process and standards within the organization
- Work-life balance: flexible hours and a hybrid service delivery model - twice a week at the office
- Annual evaluation meetings
- A friendly Buddy to guide you through the onboarding, further training, and career opportunities
- Training possibilities for personal development after completing the onboarding period (3 months)
- Space to implement your own ideas
- An open and casual company culture filled with internal events (Yearly event, Christmas party)
- The opportunity to quickly develop professionally on projects in Europe and all over the world
- Employee Referral Program
Benefits
Aufrufe: 3
| Veröffentlicht | vor 14 Tagen |
| Läuft ab | in 16 Tagen |
| Art des Vertrags | B2B |
| Arbeitsmodus | Hybrid |
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