AI Product Lead

Jesteśmy liderem rekrutacji specjalistów i menedżerów oraz doradztwa w obszarze HR. Marka obecna jest w 35 krajach, w Polsce działa od 1996 roku. Przez ten czas zbudowaliśmy wiele karier kandydatów, dzięki elastycznemu i kompleksowemu podejściu do wszystkich rekrutacji. Antal tworzy ponad 130 profesjonalnych konsultantów ds. rekrutacji, którzy są oni nie tylko skutecznymi rekruterami, ale także wykwalifikowanymi doradcami, specjalizującymi się zarówno w zakresie wybranego sektora, jak i stanowiska.

• Bachelor's degree in Computer Science, IT, Data Science, Business Informatics, or a related field
• Proven experience in Agile product or software delivery roles
• Strong understanding of backlog management and Agile delivery processes
• Experience working with business stakeholders and technical teams
• Practical knowledge of AI/ML, LLM, RAG, or data-driven solutions
• Understanding of software architecture, APIs, integrations, and testing practices
• Familiarity with AI governance, security, and data privacy principles
• Ability to translate business needs into actionable technical plans
• Experience coordinating cross-functional teams and managing delivery dependencies
• Strong communication and stakeholder management skills
• Ownership mindset with a proactive, delivery-focused approach
• Fluent business English (spoken and written)
• Working knowledge of Jira, Confluence, and MS Office

Nice to have:

• Experience within logistics, enterprise services, or large-scale corporate environments
• Background in AI, automation, analytics, or enterprise digital transformation initiatives
• Experience managing risks, timelines, and complex enterprise dependencies

• Identify, assess, and shape demand for AI solutions across internal and external stakeholders
• Translate business requirements into technical scope, user stories, and backlog items
• Lead end-to-end delivery of AI solutions from discovery to production
• Own backlog management, refinement sessions, sprint readiness, and delivery flow
• Coordinate cross-functional teams including developers, data scientists, QA engineers, and platform teams
• Drive technical delivery decisions, remove blockers, and manage dependencies
• Ensure compliance with architecture, security, governance, and operational standards
• Implement AI controls such as guardrails, monitoring, and human oversight mechanisms where required
• Track delivery progress, support go-live activities, and monitor business value realization
• Promote standardization and reusable implementation patterns across Enterprise AI initiatives
• Provide leadership to Agile delivery squads engaged in development and maintenance activities