Product Manager Intern
Zycus
This job at a glance
- Who can apply
- Freshers and up to 1 year · B.Tech / B.E.
- Must know
- Market researchContent writing
- Nice to have
- Product managementLLMsData analysisREST APIs
- Work
- On-site in Mumbai · internship
- Pay
- Not stated by the employer.
- Skill demand
- Product management83%LLMs11%Market research8%Content writing2%of 99 similar fresher jobs posted in India this week
- Listed
- 12 Nov 2026 · still open
Sign in free to see which of these skills your resume already shows.
About Zycus
Zycus is transforming enterprise procurement through an AI-native architecture. At the core of our platform is Merlin AI, an agentic AI engine powering autonomous workflows across Source-to-Pay. We are building enterprise software where AI is the foundation. We are looking for passionate and curious 2026 graduates who are excited about shaping product strategy, understanding customer problems deeply, and leveraging AI to become highly effective product managers.
Who We Are Looking For
This role is ideal for students and fresh graduates who:
- Have a strong foundation in analytical thinking, business fundamentals, and structured problem-solving.
- Enjoy understanding customer problems and translating them into product solutions.
- Use AI tools such as ChatGPT, Claude, Gemini, or similar tools for research, analysis, writing, and productivity.
- Are eager to learn modern product management practices and AI-driven workflows.
- Have a growth mindset and are excited to work on cutting-edge enterprise software.
Key Responsibilities
AI-Augmented Product Management
- 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.
Product Execution
- 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.
AI-Aware Product Thinking
- 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.
Eligibility Criteria
- 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.
- Familiarity with data analysis tools (Excel, SQL, or similar).
- Exposure to AI development tools, LLMs, or Agentic AI frameworks is a plus.
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.
- 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.