Sr. Product Manager - ML/AI Product
Posted: 4 days ago
Job Description
📍 Location: Ho Chi Minh, Vietnam🕒 Employment type: Full-timeAbout QodeAt qode.world, we are redefining the future of recruitment through AI-powered innovation. Our platform automates candidate sourcing, contacting, and interviewing - empowering recruiters and enterprises to scale efficiently while keeping the human touch at the center. We work with global organizations, staffing firms, and government entities to deliver cutting-edge hiring solutions powered by AI.We are looking for a Senior Product Manager (AI Products) to join our growing team and lead the development of groundbreaking AI-driven features for recruiters and candidates worldwide.ResponsibilitiesAs a Senior Product Manager at Qode, you will:Define product architecture and long-term strategy, ensuring alignment with Qode’s business goals and market opportunities.Research and identify features - particularly AI-driven capabilities - to solve users’ needs.Manage the full product lifecycle from ideation to release - requirements breakdown, planning, collaborating with engineers/designers, testing, launch, training users, and gathering feedback for iteration. Guarantee that every feature, from design to production, maps back to strategic goals.Explore new AI-driven product opportunities using emerging technologies and market trends.Define, track, and analyze product KPIs that align with business outcomes to drive continuous improvements.Monitor & Troubleshoot: Quickly respond to production issues or user pain points, ensuring reliability and trust.Continuously evaluate AI market trends, competitor solutions, and new technologies to shape Qode’s product roadmap.Required Skills & Qualifications5+ years of proven experience as a Product Manager or similar roles.Technical background: Education in Software Engineering or prior experience working as an engineer.Hands-on experience managing and delivering AI-driven products (NLP, ML models, LLM applications, or automation platforms).Experience in the Data Labeling domain is a plus.Strong understanding of product lifecycle management and agile product development.Technical proficiency: Comfortable discussing product architecture, APIs, database, data models, and AI pipelines with engineers.Strong data analysis skills (SQL, Excel, dashboards, analytics tools) to make data-driven product decisions.Excellent project management, organizational, and problem-solving skills.Strong communication and leadership skills to align cross-functional teams.Ability to thrive in a fast-paced environment, manage multiple priorities, and adapt to change.Resilience and a solution-oriented mindset to overcome challenges with clarity and focus.Fluent in English (written and spoken).Why Join Qode?Opportunity to build cutting-edge AI products that shape the future of recruitment.Work with a global, mission-driven team passionate about innovation.A culture that values ownership, creativity, and impact.Competitive salary, growth opportunities, and global exposure.
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