AI-Native Product Manager – Graduate Trainee (2026 Passouts)

Talismatic; Bengaluru; Hybrid; INR 600,000 - 900,000; Full time

Job summary

Zycus in Bengaluru is seeking fresh graduates for AI-Augmented Product Management roles. You will research customer problems and translate them into product solutions, using AI tools for market analysis, user research synthesis, and documentation.

Learn and apply prompt engineering, collaborate with senior PMs to define requirements with AI-assisted workflows, and participate in end-to-end feature delivery. Graduating in 2026 with strong analytics and communication will help you thrive.

Qualifications

• BE/B.Tech in Computer Science, IT, or Engineering with graduation in 2026.
• Strong foundation in analytical thinking and problem-solving.
• Basic understanding of software concepts, APIs, and databases.
• Interest in AI-assisted product management and learning new technologies.
• Excellent communication skills and ability to work with cross-functional teams.

Responsibilities

• AI-Augmented Product Management: use AI tools for market research, user research synthesis, and documentation.
• Learn and apply prompt engineering techniques to boost research and writing productivity.
• Collaborate with senior PMs to define requirements using AI-assisted workflows.
• Product Execution: write PRDs, user stories, and acceptance criteria; support discovery through customer calls and data analysis.
• AI-Aware Product Thinking: contribute to features and workflows leveraging AI/LLM capabilities.

Skills

AI tools usage

Prompt engineering

Requirements writing

Data analysis basics

Education

BE/B.Tech in CS/IT or Engineering

Tools

Jira

Notion

Figma

Job description

About Zycus

Zycus is transforming enterprise procurement through 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 not a feature—it 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. 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.

Why Join Zycus?

• Work on real-world AI-native enterprise products from day one.

• Learn from experienced product leaders building large-scale distributed systems and AI platforms.

• Gain hands-on exposure to Product Strategy, Enterprise SaaS, AI/ML, and Agentic AI technologies.

• Access industry-leading AI tools and workflows.

• Fast-track your career in one of the most exciting areas of product management—Agentic AI and Enterprise Automation.

• Be part of a culture that values innovation, ownership, continuous learning, and product excellence.