AI-Native Product Manager Graduate Trainee

Skills this role screens for

About the role

Zycus is hiring for the role of AI-Native Product Manager Graduate Trainee!

The work

Responsibilities of the Candidate

• Use AI tools to assist in market research, competitive analysis, user research synthesis, and documentation.
• Learn and apply prompt engineering techniques to improve research and writing productivity.
• Collaborate with senior product managers to define requirements using AI-assisted workflows.
• Continuously explore emerging AI tools and best practices for product work.
• Assist in writing product requirement documents (PRDs), user stories, and acceptance criteria.
• Support discovery through customer calls, surveys, and data analysis.
• Work with engineering, design, and QA teams to ship features end-to-end.
• Track product metrics and translate data into actionable insights.
• Participate in product reviews and cross-functional discussions.
• Learn how AI-powered applications and agent-based systems are designed and productized.
• Contribute to defining features and workflows that leverage AI/LLM capabilities.
• Gain exposure to enterprise-scale AI product design and automation platforms.

Who they want

Requirements

• BE/B.Tech; Computer Science, IT, or Engineering background.
• Graduating in 2026.
• Academic Requirement: Minimum 80% (or equivalent CGPA) in 10th, 12th, and undergraduate/postgraduate studies, with no active backlogs and no history of backlogs/arrears.
• Strong understanding of business fundamentals, market analysis, and structured problem-solving frameworks.
• Basic understanding of software development concepts, APIs, and databases is a plus.
• Strong analytical and problem-solving abilities.
• Excellent communication skills and a passion for learning new technologies.
• Demonstrated interest in AI-assisted product work through projects, case competitions, internships, or personal initiatives.
• Skills (Preferred)
• Strong fundamentals of product thinking, market sizing, and prioritization frameworks.
• Basic knowledge of product management tools (Jira, Notion, Figma, or similar).
• Understanding of REST APIs, SaaS, and web technologies at a conceptual level. F
• amiliarity with data analysis tools (Excel, SQL, or similar).
• Exposure to AI development tools, LLMs, or Agentic AI frameworks is a plus. P
• ersonal projects, case studies, internships, or hackathons are highly valued.
• Bonus Points If You Have Built or contributed to projects using AI tools, LLMs, Agentic AI frameworks, or GenAI APIs.
• Participated in case competitions, hackathons, or product challenges.
• Conducted user research or built a product prototype (even a simple one).
• Experience with product analytics tools (Mixpanel, Amplitude, or similar).
• Written product-related blogs, case studies, or shared technical/product content publicly.
• Demonstrated strong curiosity for AI-assisted product management and emerging technologies.