[ESTsoft] AI Dubbing Product Owner (Experience)

Job Description

You will be responsible for the quality of PERSO.ai's core value proposition, AI dubbing and translation solutions. Based on native-level language sense in both Korean and English, we design natural and accurate voice and text translation experiences through TTS (Text-to-Speech) systems and AI prompt engineering. • Establish and execute a roadmap for improving our AI dubbing and translation quality • Manage system prompts for TTS system optimization and user experience improvement • Establish a continuous quality improvement cycle through customer feedback and data analysis • Develop AI translation solutions optimized for various usage contexts of B2B/B2C customers • Lead the quality purpose organization with development, research, and quality teams in a squad structure # Key Responsibilities • Quality management and improvement Establish clear evaluation criteria and measurement indicators for AI dubbing and translation quality Optimize TTS system for natural voice conversion between various languages ​​(especially Korean-English) Improve key quality elements such as translation accuracy, voice naturalness, and emotional conveyance • Product strategy and development Establish a differentiation strategy for AI dubbing and translation functions through user needs analysis Derive measures to strengthen quality competitiveness by reflecting competitor analysis and market trends Manage and prioritize quality-related backlog through data-based decision-making • Collaboration and communication Define technical requirements for quality improvement by working closely with AI/ML engineering teams Linguistics experts, voice actors, and content Effective communication with various stakeholders including creators Write clear reports on quality improvement results and lead strategic discussions with management

Qualifications

Required Qualifications • 5+ years of PO/PM experience in AI-based language processing or voice technology related products • Native or equivalent language skills in both Korean and English • Practical experience and understanding of TTS (Text-to-Speech), STT (Speech-to-Text), and NLP technologies • Experience utilizing systematic approach methodology for evaluating voice quality and translation accuracy • 3+ years of PO experience in Agile/Scrum method

Preferred

• Experience in AI prompt engineering, LLM fine-tuning • Expertise in speech synthesis, sentiment analysis, and multilingual processing technologies • Master's degree or higher in linguistics, phonetics, AI, or computer science • Experience using AI voice/translation APIs such as OpenAI Whisper, ElevenLabs, and Azure Speech • Experience launching AI translation/dubbing products targeting the global market

Etc

Portfolio and Career Skills Form Please write with the following content as the focus 1) Experience designing to improve the quality of AI voice or translation-related products • Problem definition: What quality issues were there? • Hypothesis formulation: Approach to quality improvement • Action: Specific actions taken • Validation: How to measure quality improvement results • Insight: Key lessons learned from the process 2) Decision-making framework and experience in prioritizing tasks related to AI voice/translation quality 3) Experience optimizing AI systems through prompt engineering (if any) 4) Role and contribution in each task (state leading role or team contribution) Join the following journey • Selection process: Document screening > Personality test > Interview with executives > Final interview > Negotiation of compensation > Final selection • Application period: ~ Closes when recruited * This announcement is a rolling recruitment, and may close early when recruiting is complete. * Information on each selection process and results will be individually sent to all applicants via email. * Depending on the applicant's resume and career, some selection processes may be omitted or added. # Please check when applying [Employment Information] • Number of Recruits: 0 • Employment Type: Full-time (3-month training period) • Work Location: East Building, 3 Banpo-daero, Seocho-gu, Seoul

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