Senior Product Manager
HybridAthens, Attica, Greece
Job Summary
Gain a deep understanding of our product, customers, and market landscape to identify gaps and generate ideas that improve customer experience and drive growth. Translate product strategy into detailed requirements and collaborate with design teams on user research, journeys, and mockups. Evaluate key performance indicators to derive measures for future success, then scope and prioritize the roadmap while setting delivery timelines with engineering partners. Work with Product Marketing to develop positioning and sales arguments, contributing competitive analysis and industry insights for differentiation. Utilize analytics tools to monitor metrics, track user behavior, and gather insights for data-informed decision-making and continuous improvement.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 5+ years of Product Management experience, including at least 2 years owning a product area end-to-end
- Proven experience building and managing SaaS products, with a solid understanding of software development, web technologies, and Agile methodologies
- Strong analytical, strategic thinking, prioritization, and stakeholder management skills, with a proven track record of delivering measurable business outcomes
- Excellent communication and collaboration skills, with experience working closely with cross-functional teams and senior stakeholders
- Strong understanding of Generative AI concepts, capabilities, limitations, and responsible AI practices, including privacy, security, bias, and explainability
- Hands-on experience using AI-powered tools (e.g., ChatGPT, Claude, Gemini, Copilot) to improve product discovery, documentation, analysis, and the design of AI-enabled product solutions
Desired Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field (preferred)
- Previous product management experience on Learning and Talent Management products
- Experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, or recommendation systems
- Familiarity with prompt engineering techniques and AI evaluation methodologies
- Basic understanding of AI/ML architectures, APIs, embeddings, vector databases, and model orchestration
- Knowledge of AI governance, ethical AI principles, privacy regulations, and responsible AI practices
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.