Associate Product Manager (AI/ML)

About LetitbexAI

LetitbexAI is a fast-growing AI-driven technology company focused on building intelligent, scalable, and enterprise-grade solutions. We work at the intersection of AI, data engineering, cloud, and business transformation, helping organizations unlock real value from artificial intelligence.

Position: Associate Product Manager (AI/ML)

Experience: 5+ Years

Notice Period: Can be considered up 15 Days

Role Summary

Drive product strategy and roadmap for AI/ML initiatives within the required products. Own feature prioritization, cross-functional collaboration, and translation of business requirements into technical specifications.

Key Responsibilities

• Own product strategy and roadmap for assigned AI/ML features and modules
• Develop and maintain Product Requirements Documents (PRDs) with detailed user stories and acceptance criteria
• Collaborate with data engineers and ML engineers to translate business requirements into technical specifications
• Conduct market research, competitive analysis, and user research to inform product decisions
• Drive feature prioritization based on impact, effort, and strategic alignment
• Define success metrics, KPIs, and establish measurement frameworks for AI-driven features
• Manage product backlog and communicate timelines to stakeholders
• Partner with design, engineering, and QA teams to ensure successful feature launches
• Gather and incorporate feedback from customers and internal teams post-launch
  
  

Required Skills & Experience

• 5-7 years of product management experience, preferably in AI/ML or data-driven products
• Strong understanding of machine learning concepts and their business applications
• Proven track record of shipping complex products from conception to launch
• Excellent written and verbal communication skills
• Data-driven approach to decision-making with strong analytical skills
• Experience with Agile methodologies and tools (Jira, Confluence, etc.)
• Experience collaborating with technical teams (engineers, data scientists, ML engineers)
• HR Tech or Vendor Management System domain knowledge is a plus
  
  

Nice to Have

• Experience with NLP or AI-powered Vendor Management solutions
• Proficiency with analytics and SQL for data exploration
• Experience in Enterprise SaaS product management
• Certifications in product management (REFORGE, AIPM, etc.)