AI Engineering Manager
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Job Description
AI Engineering Manager leading AI-native product engineering at InPost, a European out-of-home delivery company. Shaping strategy, platforms, workflows, and team development across the Group.
Responsibilities:
- Lead a multidisciplinary engineering team of approximately 10–15 people working with AI technologies
- Support team growth, autonomy, and effective collaboration
- Own the AI Engineering strategy
- Contribute to products powered by machine learning and AI-native technologies
- Partner with product managers and stakeholders to define requirements, priorities, delivery plans, features, and product enhancements
- Establish standards and processes for AI-native product development, including CI/CD with evals, test sets, and search subsystems
- Select and implement open-source and commercial tools, including MCP Servers, A2A communication, CI/CD pipelines, workflows, and agent definitions
- Guide AI-native workflows involving streaming, long-running tasks, and procedural UX
- Improve system architecture, application design, and engineering processes
- Contribute to hiring, onboarding, and professional development
- Collaborate with vendors and technology partners on partnerships, service agreements, and external innovation
- Manage budget responsibility and influence vendor and technology-partner relationships
Requirements:
- At least seven years of post-BS or post-MS experience in an engineering role
- Experience leading high-performing Agile development teams
- Strong understanding of Agile principles and methodologies
- Hands-on experience contributing to strategic projects and solving complex challenges
- Proven track record of delivering scaled, impactful products powered by machine learning
- Experience building backend platforms capable of supporting multiple product lines
- Strong technical judgment and ownership of results, quality, and team development
- Effective stakeholder communication, influence, negotiation, and translation of business objectives into technology decisions
- Ability to work independently and take ownership of decisions
- Creativity and pragmatism in approaching challenges
- Fluency in Polish and English
- University degree in computer science, mathematics, econometrics, statistics, or another related field
Benefits:
- Remote work options
- Hybrid working from Warsaw or Kraków
- Flexible hours
- Training opportunities and professional development
- Excellent working environment
- InPost community focused on sustainability, convenient deliveries, and the circular economy
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