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