Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
You will be:
- Owning the product vision, roadmap, and backlog for AI-powered HR and workforce management solutions.
- Collaborating closely with business stakeholders, engineering teams, AI specialists, and UX designers to deliver high-value product features.
- Defining, prioritizing, and refining user stories based on business objectives and customer needs.
- Identifying opportunities to leverage Generative AI, AI agents, and automation to improve HR and administrative processes.
- Driving the discovery and delivery of AI-powered product capabilities that create measurable business value.
- Translating customer requirements into scalable, secure, and user-centric product initiatives.
- Validating product hypotheses, defining success metrics, and continuously optimizing product outcomes.
- Supporting the development of conversational AI solutions integrated with existing enterprise systems through APIs.
- Ensuring AI solutions meet security, compliance, auditability, and human oversight requirements.
- Acting as the voice of the customer while balancing business priorities, technical feasibility, and delivery timelines.
Your profile:
- Proven experience as a Product Owner, Product Manager, or in a similar product leadership role within SaaS products.
- Experience identifying and delivering AI-powered product capabilities, including automation, predictive analytics, intelligent recommendations, or Generative AI features.
- Practical understanding of Generative AI, Machine Learning, AI agents, and their application in modern SaaS products.
- Ability to identify opportunities where AI can improve operational efficiency, workforce management processes, and customer experience.
- Experience managing product roadmaps, backlogs, and Agile delivery processes.
- Strong stakeholder management, communication, and prioritization skills.
- Experience working with cross-functional product and engineering teams.
- Fluent Spanish (C1/C2) and professional English.
- Practical experience using AI-powered assistants (e.g. ChatGPT, Claude, Copilot Chat, or similar) to improve productivity, quality, or decision-making in analysis and software delivery.
Work from the European Union region and a work permit are required.
Nice to have:
- Experience working on AI-enabled SaaS products leveraging conversational AI, LLMs, workflow automation, or intelligent decision support.
- Background in HR Tech, Workforce Management, HCM, Payroll, or Employee Experience solutions.
- Familiarity with API-based integrations and enterprise software ecosystems.
- Understanding of data privacy, compliance, and security requirements in AI-enabled products.
- Experience defining KPIs and measuring the business impact of AI-driven features.
- Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily analytical and documentation work.
- Interest in and familiarity with emerging AI-driven practices (e.g. automation of analysis tasks, AI-supported documentation, or workflow optimization), with a willingness to explore and experiment beyond standard approaches.
Recruitment Process:
CV review – HR call – Interview – Client Interview – Decision
