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Semantics Product Manager
hace 3 meses
Our team of more than 5,000 talented employees, in 70+ subsidiaries worldwide, is constantly adapting to facilitate the transition to fully integrated systems for our clients through a network of secure, scalable, and ready for the future platforms, so clients can focus on their core competencies of serving their customer and guests.
Job Description We are seeking a talented and experienced Semantics Product Manager to lead the development and evolution of our semantic analysis tool that is part of our hospitality online reputation management system.
The ideal candidate will have a deep understanding of NLP and computational linguistics, coupled with strong product management skills and a proven ability to collaborate effectively with cross-functional teams.
As the Semantics Product Manager, you will play a crucial role in defining product requirements, managing annotation processes, coordinating with engineering and UX/UI teams, and ensuring the delivery of high-quality solutions that meet the needs of our clients.
Key Responsibilities Product Strategy and Roadmap: Define and communicate a clear product vision and roadmap for our semantic engine, aligned with the needs of our target market and business objectivesRequirement Definition:
Work closely with stakeholders to gather and prioritize requirements for new features and enhancements, translating customer needs into actionable tasks for the engineering team
Annotation Process Management:
Oversee the training of annotators and establish guidelines and requirements for annotation tasks to ensure high-quality labeled datasets for model training
Data Management:
Work with large datasets, preparing them for training and testing of the semantic engine, ensuring data quality, integrity, and compliance with privacy regulations
Documentation and Knowledge Sharing:
Create and maintain comprehensive documentation, including product specifications, user guides, and best practices for annotation and data preparation processes
Cross-functional Collaboration:
Collaborate with engineering, UX/UI, and data science teams to drive the development and implementation of new product features, ensuring alignment with product vision and customer requirements
Quality Assurance:
Define and implement processes for testing and validating the performance of the semantic engine, working closely with data scientists and QA engineers to ensure accuracy and reliability
Customer Engagement:
Engage with customers success teams to gather client feedback, understand their needs and pain points, and identify opportunities for product improvement and innovation.
Qualifications University degree in Computational Linguistics, NLP, Computer science or similar.At least 3 years proven experience in Product management with focus on NLP/ML projects, working with text classification, information extraction, sentiment analysis, NER, language modeling, NLU and/or dialogue systems.
Experience with training annotators, defining annotation guidelines, and managing annotation processes. Experience working with large datasets and preparing them for machine learning model training/testing is highly desirable. Experience in using and/or fine-tuning large language models (LLM) such as GPT is a plus. Proficiency with product management tools such as Jira, Monday, Miro, and documentation platforms like Confluence. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders. Strong analytical and problem-solving skills, with a keen attention to detail and a commitment to delivering high-quality solutions. Knowledge of online reputation management, guest satisfaction surveys, or hospitality industry trends is a plus. Additional Information Flexible work schedule Free coffee, tea, and afterwork drinks Brand new office located in the center of Barcelona International team and fantastic work environment Team building activities and charity donation programs Discounts on Private health insurance, ticket restaurant, transport, kindergarten