Produktni vodja za digitalne rešitve – Umetna inteligenca (UI)

📍 Job Overview

Job Title: Produktni vodja za digitalne rešitve – Umetna inteligenca (UI) (m/ž)

Company: NLB Portal

Location: Ljubljana, Slovenia

Job Type: Full-time

Category: Product Management / Digital Solutions / Artificial Intelligence

Date Posted: August 10, 2026

Experience Level: Entry-level (0-2 years)

Remote Status: On-site

🚀 Role Summary

• Lead the development and stewardship of digital AI-powered product offerings within the Digital Factory unit, focusing on market success and economic viability.

• Drive the creation of strategic business plans and development programs for AI solutions, ensuring alignment with organizational goals.

• Champion an excellent user experience (UX) for all digital AI products, incorporating user feedback and best practices.

• Coordinate, oversee, and monitor work processes related to AI product development, ensuring efficient execution and timely delivery.

• Foster knowledge transfer and provide mentorship to team members, promoting a culture of continuous learning and development in AI technologies.

📝 Enhancement Note: This role is a Product Manager position focused on Artificial Intelligence (AI) solutions within a "Digital Factory" unit, indicating a strategic push towards innovation and digital transformation in banking. The emphasis on "no experience required" suggests a focus on potential and learning, with a strong need for foundational understanding in product management principles, digital literacy, and a keen interest in AI. The role requires a blend of strategic planning, operational oversight, and user-centric design within the financial services sector.

📈 Primary Responsibilities

• Product Strategy & Development: Develop and manage the product roadmap for digital AI solutions, defining features, functionalities, and release plans.

• Market & Business Planning: Conduct market analysis to identify opportunities and threats, and prepare comprehensive business plans and development programs that ensure economic justification and market competitiveness.

• User Experience (UX) Ownership: Design and advocate for superior user experiences, working closely with design and development teams to translate user needs into intuitive and effective AI product features.

• Process Coordination & Oversight: Coordinate and monitor the workflow for AI product development projects, ensuring efficient resource allocation, stakeholder alignment, and adherence to timelines.

• Mentorship & Knowledge Transfer: Actively mentor junior team members and facilitate knowledge sharing sessions on AI technologies, product management best practices, and digital tools.

• Cross-Functional Collaboration: Collaborate effectively with various internal teams, including IT, marketing, sales, and compliance, to ensure successful product launch and adoption.

• AI Tool Integration: Identify, evaluate, and integrate specialized AI tools and technologies into product development and operational processes to enhance efficiency and effectiveness.

• Performance Monitoring & Improvement: Track product performance metrics, analyze user feedback, and propose/implement improvements to optimize product offerings and achieve business objectives.

📝 Enhancement Note: The responsibilities highlight a blend of strategic product vision and operational execution, typical for a product manager role within a forward-thinking digital unit. The inclusion of "mentorstvo in prenos znanj" (mentorship and knowledge transfer) and "sodelovanje v projektnih in delovnih skupinah" (collaboration in project and working groups) emphasizes the collaborative and developmental nature of the role. The explicit mention of "uporaba orodij umetne inteligence" (use of artificial intelligence tools) is critical for candidates to understand the core technological focus.

🎓 Skills & Qualifications

Education:

• Degree level 7, 6/2, 6/1, or 5 (equivalent to Master's, Bachelor's, or specialized vocational training) in economics, or other relevant fields.

• A strong academic foundation in business, finance, technology, or a related discipline is expected. Experience:

• No prior work experience is required, indicating this is an entry-level position designed for individuals with high potential and a strong desire to learn.

• Candidates are expected to demonstrate a foundational understanding of product management principles, business planning, and digital technologies. Required Skills:

• Product Management Fundamentals: Understanding of product lifecycle management, feature prioritization, and roadmap development.

• Artificial Intelligence Concepts: Basic knowledge or strong interest in AI technologies, machine learning, and their applications in business.

• Digital Literacy: Proficient in using standard and specialized digital tools for work, communication, and data analysis.

• Business Planning & Analysis: Ability to contribute to the preparation of business plans and understand market performance metrics.

• User Experience (UX) Focus: A strong understanding of user-centric design principles and the importance of excellent customer experience.

• Foreign Language Proficiency: Active knowledge of a foreign language is mandatory, likely for international collaboration or market understanding.

• Core Competencies: Reliability, responsibility, ethical conduct, proactivity, collaboration, and customer orientation.

Preferred Skills:

• Project Management Basics: Familiarity with project management methodologies and tools.

• Data Analysis Skills: Ability to interpret data and derive insights for decision-making.

• Agile Methodologies: Exposure to Agile or Scrum frameworks.

• Financial Services Acumen: Understanding of the banking or financial services industry.

📝 Enhancement Note: The "no experience" requirement is a key differentiator, suggesting the company is willing to invest in training and development for promising candidates. The emphasis on "digital literacy" and "AI tools" points towards a need for tech-savviness beyond basic computer skills. The inclusion of soft skills like "reliability," "responsibility," "ethical conduct," "proactivity," "collaboration," and "customer orientation" as "key competencies" underscores the importance of cultural fit and behavioral attributes for this role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Product Vision & Strategy: Examples showcasing an understanding of product vision development, market analysis, and strategic planning for digital products.

• User-Centric Design: Demonstrations of how user needs were identified and translated into product features, emphasizing UX considerations.

• Business Case Development: Evidence of contributions to business planning, including market justification and economic feasibility assessments.

• Process Improvement Initiatives: Any examples of identifying and proposing process improvements, even in academic or extracurricular contexts.

• AI Technology Exposure: While no direct experience is required, any projects, coursework, or personal exploration involving AI technologies would be beneficial to showcase interest and foundational knowledge.

Process Documentation:

• While a formal portfolio isn't explicitly required, candidates should be prepared to discuss their approach to understanding and documenting workflows, especially concerning new product development or process optimization.

• Be ready to articulate how you would learn and document processes for AI product development, from initial concept to user deployment.

📝 Enhancement Note: Given the entry-level nature, the "portfolio" is likely less about formal project deliverables and more about demonstrating potential, understanding, and a proactive learning mindset. Candidates should prepare to discuss academic projects, case studies, or even personal initiatives that showcase their thinking around product strategy, user needs, and emerging technologies like AI. The emphasis on "process improvement" suggests a desire for candidates who are naturally inclined to look for efficiencies.

💵 Compensation & Benefits

Salary Range:

• Based on a Slovenia-based entry-level Product Manager role with responsibilities in AI and digital solutions, and considering the "no experience required" aspect, a competitive starting salary would likely fall within the range of €18,000 - €25,000 gross annually.

• This estimate is derived from general market data for entry-level tech/product roles in Slovenia, adjusted for the specialized nature of AI and the established reputation of NLB Group as a "Top Employer."

• Methodology: Research involved analyzing available salary data for "Product Manager Slovenia," "Junior Product Manager Ljubljana," and entry-level tech roles in similar-sized European financial institutions. Adjustments were made for the specific requirements of AI focus and the provided company benefits.

Benefits:

• Immediate employment contract with a 6-month probationary period.

• Work in a professional, dynamic, and well-organized work environment.

• Engaging and varied work tasks and challenges.

• Professional and personal development opportunities through the NLB Educational Center (40-year tradition).

• Family-friendly workplace (certified DPP).

• Work in an environment certified as a "Top Employer."

• Opportunities for continuous learning and skill acquisition. Working Hours:

• The standard working hours are 40 hours per week.

• While the role is on-site, the "dynamic work environment" and "professional development" aspects suggest opportunities for flexible engagement within the standard framework.

📝 Enhancement Note: The estimated salary range is a conservative estimate for an entry-level position in Slovenia in this specialized field. The provided benefits are substantial and reflect the company's commitment to employee development and well-being, which can significantly offset a slightly lower base salary for entry-level candidates.

🎯 Team & Company Context

🏢 Company Culture

Industry: Banking and Financial Services. NLB Group is the largest banking and financial group in Slovenia, with a strategic focus on selected markets in Southeastern Europe.

Company Size: NLB d.d. is a large organization, part of a significant group. The "Digital Factory" unit likely operates with a degree of autonomy but is integrated into the broader corporate structure. This size offers stability and resources but may also involve navigating corporate processes.

Founded: NLB d.d. has a long history, with the NLB Educational Center boasting a 40-year tradition, indicating a company that values established practices and continuous learning. The "Digital Factory" is likely a more recent initiative, signifying a commitment to innovation within a traditional sector.

Team Structure:

• The role is within the "Digital Factory" organizational unit, suggesting a dedicated team focused on digital transformation and innovation.

• This unit likely comprises specialists in various digital domains, including AI, product management, development, data science, and UX design.

• Collaboration is expected across different project teams and potentially with other departments within NLB d.d. and the wider NLB Group. Methodology:

• The company values responsibility, honesty, credibility, collaboration, solution orientation, innovation, efficiency, and simplicity.

• The "Digital Factory" is expected to embody these values, with a strong emphasis on innovation, efficiency, and solution-oriented approaches to digital challenges.

• Data-driven decision-making and a focus on user experience are implied by the product management and AI focus.

Company Website: https://www.nlb.si/ (General NLB Group, specific Digital Factory may not have a public-facing page)

📝 Enhancement Note: The combination of a long-standing financial institution with a new "Digital Factory" unit implies a culture that balances stability and tradition with a drive for modern innovation. Candidates should highlight their ability to adapt to both established corporate structures and agile, forward-thinking project environments. The explicit mention of core values provides clear guidance on expected behaviors and decision-making principles.

📈 Career & Growth Analysis

Operations Career Level: This is an entry-level Product Manager role, specifically focused on digital AI solutions. It's an excellent starting point for individuals looking to build a career in product management, particularly within the fintech or digital banking space. The role is foundational, providing exposure to product strategy, development cycles, and cross-functional collaboration.

Reporting Structure: The candidate will report to a manager within the "Digital Factory" unit. This manager is likely responsible for overseeing the product portfolio and guiding the development team. Collaboration will extend to product owners, developers, designers, and business stakeholders across the organization.

Operations Impact: While this role is not strictly a "Revenue Operations" or "Sales Operations" role, the Product Manager significantly impacts revenue and business decisions by defining and launching successful AI-driven digital products. The success of these products directly influences customer acquisition, retention, operational efficiency, and the bank's competitive positioning in the digital landscape. The ability to articulate the business value and ROI of AI solutions will be crucial.

Growth Opportunities:

• Product Management Specialization: Progress to Product Owner or Senior Product Manager roles, managing more complex products or portfolios.

• AI & Data Science Expertise: Develop deep expertise in AI applications within finance, potentially transitioning into AI strategy or data science roles.

• Digital Transformation Leadership: Grow into leadership positions within the Digital Factory or other innovation-focused units.

• Cross-Functional Mobility: Gain broad experience across different business functions within NLB Group, opening doors to various career paths.

• Continuous Learning: Leverage the NLB Educational Center and industry trends to continuously upskill in product management, AI, and digital technologies.

📝 Enhancement Note: The "no experience required" aspect means that growth will heavily depend on demonstrated learning agility, proactive contribution, and the ability to quickly grasp complex concepts in AI and product management. Candidates should express a clear ambition to grow within the product management track and specialize in AI within the financial sector.

🌐 Work Environment

Office Type: The role is specified as "On-site," indicating a traditional office-based work environment. This is common for large financial institutions like NLB.

Office Location(s): Ljubljana, Slovenia. This implies working from the main NLB offices in the capital city.

Workspace Context:

• Collaborative Environment: The "Digital Factory" unit is designed for collaboration, suggesting open-plan spaces or designated team areas to foster interaction among product managers, developers, designers, and other specialists.

• Technology & Tools: Access to modern digital tools and technologies, including AI platforms and standard office productivity software, will be provided to support the work.

• Team Interaction: Frequent interaction with colleagues within the Digital Factory, as well as with stakeholders from other departments, will be a key aspect of the daily work.

Work Schedule:

• Standard 40-hour work week.

• While on-site, the emphasis on "dynamic work environment" and "personal development" suggests that flexibility might be available within structured working hours, though this should be clarified during the interview process.

📝 Enhancement Note: Candidates should be prepared for a structured, on-site work environment typical of a large, established financial institution. While innovation is a focus, the operational framework will likely be robust. Highlighting adaptability to structured environments while bringing a fresh, innovative perspective will be key.

📄 Application & Portfolio Review Process

Interview Process:

• Application Submission: Submit CV and motivational letter by August 17, 2026.

• Initial Screening: Review of applications to assess basic qualifications (education, language skills, digital literacy).

• Interview Round 1 (HR/Hiring Manager): Focus on motivation, core competencies (reliability, responsibility, collaboration, etc.), understanding of the role, and alignment with company values. Expect behavioral questions.

• Interview Round 2 (Team/Technical): Assessment of understanding of product management fundamentals, AI concepts (even at a basic level), problem-solving skills, and ability to articulate ideas. This may involve a case study or a discussion of hypothetical scenarios.

• Final Interview: Potentially with senior leadership to assess strategic thinking, long-term potential, and cultural fit.

Portfolio Review Tips:

• Focus on Potential: Since experience is not required, emphasize academic projects, case studies, or personal initiatives that demonstrate your analytical skills, problem-solving approach, and interest in AI and product management.

• Structure Your Narrative: Clearly explain the context, your role, the challenges you faced, the solutions you proposed or implemented, and the outcomes or learnings.

• Highlight AI Interest: Showcase any coursework, online courses, personal projects, or research related to AI. Explain why you are passionate about AI and its application in finance.

• Demonstrate User Focus: Explain how you considered user needs and experience in your projects, even if it was a theoretical exercise.

• Quantify When Possible: Even for academic work, try to articulate any measurable outcomes or learnings.

Challenge Preparation:

• Product Case Study: Be prepared for a hypothetical product development scenario. You might be asked to identify a problem, propose an AI-driven solution, outline key features, and consider potential challenges and user impact.

• Behavioral Questions: Prepare examples using the STAR method (Situation, Task, Action, Result) to illustrate your core competencies (e.g., teamwork, problem-solving, initiative).

• AI Application Discussion: Be ready to discuss current trends in AI within the financial sector and how AI could be applied to improve banking services.

📝 Enhancement Note: The application process emphasizes motivation and core competencies over experience. Candidates should tailor their motivational letter to express a genuine interest in AI, product management, and NLB Group's mission. A well-structured, though potentially academic, portfolio demonstrating a proactive learning approach will be crucial.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Platforms: Familiarity with tools like Jira, Confluence, Trello, or similar for task management, roadmap planning, and documentation.

• Digital Collaboration Suites: Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint), Google Workspace, or similar for document creation, presentations, and communication.

• AI Tools & Platforms: While specific tools aren't listed, candidates should demonstrate a willingness and ability to learn and utilize AI-specific platforms and software relevant to product development, analysis, and deployment. Examples could include AI development environments, data analysis tools with AI capabilities, or specific AI service platforms.

Analytics & Reporting:

• Data Analysis Tools: Basic understanding of data analysis concepts and tools (e.g., Excel, potentially SQL, or BI tools like Tableau/Power BI if exposed during studies).

• Reporting Tools: Ability to interpret and contribute to reports on product performance, market trends, and business plans.

CRM & Automation:

• CRM Systems: While not explicitly stated, a basic understanding of CRM principles and how customer data is managed is beneficial in a banking context.

• Automation Concepts: Awareness of how automation can improve processes, especially in the context of digital products and AI.

📝 Enhancement Note: The job description emphasizes "digital literacy" and "self-sufficient use of standard and specialized digital tools." For this role, it means candidates should be comfortable learning new software quickly. Highlighting any experience with project management software, data analysis tools, or even personal projects involving AI development frameworks would be advantageous.

👥 Team Culture & Values

Operations Values:

• Responsibility & Reliability: Taking ownership of tasks and delivering on commitments with accuracy and dependability.

• Honesty & Credibility: Maintaining integrity in all dealings and building trust with colleagues and stakeholders.

• Collaboration: Actively working with others, sharing knowledge, and supporting team goals.

• Solution Orientation & Innovation: Proactively identifying problems and developing creative, effective solutions, particularly leveraging new technologies like AI.

• Efficiency & Simplicity: Striving for streamlined processes and clear, straightforward approaches to work.

• Customer Orientation: Placing the needs and satisfaction of the end-user at the forefront of product development and decision-making.

Collaboration Style:

• Cross-Functional Integration: Working seamlessly with diverse teams (IT, marketing, business units) to achieve common objectives.

• Open Communication: Engaging in transparent and constructive dialogue, providing and receiving feedback openly.

• Knowledge Sharing: Actively participating in learning sessions, sharing insights, and contributing to a collective understanding of AI and product best practices.

• Team-Based Problem Solving: Collaborating to analyze challenges, brainstorm solutions, and implement improvements within the product development lifecycle.

📝 Enhancement Note: The company's core values are clearly articulated and should be reflected in how candidates present themselves and discuss their approach to work. For this role, emphasizing innovation, solution orientation, and customer focus, alongside collaboration and responsibility, will be key to demonstrating cultural alignment within the "Digital Factory" context.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging AI Potential and Business Needs: Translating the capabilities of AI into tangible business value and user benefits within the banking sector.

• Navigating a Large Corporate Structure: Balancing the agility required for digital innovation with the established processes and compliance requirements of a large bank.

• Rapid Technological Evolution: Keeping pace with the fast-changing landscape of AI technologies and identifying relevant applications for financial services.

• Entry-Level Learning Curve: Rapidly acquiring the necessary skills and knowledge in product management, AI, and the banking industry to contribute effectively.

Learning & Development Opportunities:

• AI Specialization: Deepen understanding of AI/ML concepts, tools, and their practical applications in banking through internal training and external resources.

• Product Management Mastery: Develop advanced skills in product strategy, roadmap planning, user research, and go-to-market execution.

• Industry Exposure: Gain insights into the financial services industry, regulatory landscape, and customer needs through hands-on experience.

• Leadership Development: Opportunities to lead small projects or take on increasing responsibility within the product team.

• Mentorship: Benefit from guidance and knowledge transfer from experienced professionals within the Digital Factory and NLB Group.

📝 Enhancement Note: Candidates should view the challenges as opportunities for growth. Demonstrating an understanding of these challenges and articulating a proactive approach to overcoming them will be highly valued. The company's commitment to learning and development is a significant advantage for this entry-level role.

💡 Interview Preparation

Strategy Questions:

• "How would you approach understanding the needs of a banking customer for a new digital AI solution?" (Assesses user-centricity, problem-solving)

• "Imagine we want to use AI to improve customer onboarding. What would be your first steps in defining this product?" (Assesses product thinking, AI application ideation)

• "Describe a time you had to collaborate with others to achieve a goal, even if you had different ideas. How did you approach it?" (Assesses collaboration, conflict resolution)

• "Why are you interested in Artificial Intelligence and its application in the banking sector?" (Assesses motivation, industry interest) Company & Culture Questions:

• "What do you know about NLB Group and its role in the Slovenian market?" (Assesses research, company interest)

• "How do the company's core values (responsibility, innovation, customer orientation, etc.) resonate with your personal work ethic?" (Assesses cultural fit)

• "How do you stay updated on new technologies and industry trends?" (Assesses proactivity, continuous learning) Portfolio Presentation Strategy:

• Concise Storytelling: For each project or example, clearly articulate the context, your specific contribution, the outcome, and key learnings. Keep it brief and impactful.

• Focus on Process: Since experience is limited, emphasize your thinking process – how you approached a problem, analyzed it, and arrived at a solution.

• Demonstrate AI Enthusiasm: Be ready to discuss your interest in AI, perhaps by referencing specific technologies or applications you find exciting, even if you haven't directly worked with them.

• Highlight Soft Skills: Use examples to showcase your reliability, proactivity, collaboration, and customer focus, which are listed as key competencies.

📝 Enhancement Note: Interview preparation should focus on demonstrating potential, a strong learning attitude, and alignment with NLB's values, rather than deep technical expertise. Candidates should be ready to articulate their thought process and enthusiasm for AI and product management.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on nlb.csod.com by August 17, 2026.

• Tailor your CV: Highlight any academic projects, coursework, or extracurricular activities that demonstrate digital literacy, analytical skills, problem-solving abilities, and any exposure to AI concepts or product development principles.

• Craft a compelling motivational letter: Clearly articulate your passion for AI, product management, and the financial services industry. Explain why you are drawn to NLB Group and the "Digital Factory" unit, and how your core competencies align with the role's requirements.

• Prepare for case studies: Practice thinking through hypothetical product development scenarios, especially those involving AI applications in banking. Be ready to outline potential solutions and user benefits.

• Research NLB Group: Understand the company's mission, values, market position, and recent initiatives, particularly in digital transformation. This will help you tailor your answers and demonstrate genuine interest.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.