Product Management Intern

3-Month Unpaid Internship 1-Year Full-Time Trainee Program Software Engineer / Product Role

Conversion is performance-based and is not guaranteed. Candidates will be evaluated on learning ability, technical/product capability, ownership, problem-solving, communication, collaboration and potential.

Internship Note

This is a structured three-month internship and learning opportunity. The program is designed to provide practical exposure to Vector, real-world customer problems, mentorship and hands-on product development. Any subsequent employment opportunity will be subject to performance, business requirements and applicable company policies.

About us:

ProArch is a global software development and consultancy firm specializing in cloud, data, AI, and digital transformation solutions. We are building Vector, an AI-native enterprise platform designed to help organizations understand, optimize, and automate their cloud operations.

Vector uses a Six Intelligence Model - Reactive, Proactive, Predictive, Prescriptive, Reflective, and Adaptive - to progressively move from answering questions to predicting outcomes, recommending actions, learning from results, and eventually enabling autonomous operations.

Product Management Intern - Vector AI Platform
Location Remote - Bangalore preferred
Duration - 3 months
Employment Type - Unpaid Internship

Role Overview

Product research and use-case discovery; understanding customer needs and user journeys; requirements definition and product documentation; translating Vectors Six Intelligence Model into meaningful product experiences.

• Product discovery: research customer problems, personas, workflows and pain points; identify opportunities for intelligence, recommendations and automation; conduct competitive and market research.

• Six Intelligence Model: map use cases to Reactive, Proactive, Predictive, Prescriptive, Reflective and Adaptive modes; help define how intelligence should be presented to users.

• Product definition: create requirements, user stories, acceptance criteria, journeys and workflows; work with engineering teams; maintain product documentation.

• Customer experience: contribute to Microsoft Teams and web portal experiences; define insights, recommendations, visualizations, notifications and Ask Vector experiences.

• Product analytics: identify meaningful metrics; analyze adoption and usage; support evaluation of recommendations and intelligence.

What Youll Learn

• Product management for enterprise SaaS

• AI-native product development

• Agentic AI concepts

• Customer discovery

• Product requirements and UX

• Cloud and CSP/MSP business models

• Six Intelligence Model

• Agile product development

• Working with engineering and architecture teams

Qualifications

• Currently pursuing or recently completed a Bachelors/Masters degree in Computer Science, Business, Engineering, or a related field.

• Strong analytical and problem-solving skills.

• Interest in AI, technology, and product development.

• Good written and verbal communication.

• Ability to understand technical concepts.

• Curiosity and willingness to learn.

• Prior product experience is not required.

What Were Looking For:

We value curiosity, ownership, learning ability, problem-solving, and the hunger to contribute more than prior experience. Candidates should be comfortable learning quickly, asking questions, experimenting, and taking responsibility for their work.

Why Join Vector

• Work on a real AI-native enterprise product.

• Work with experienced product, architecture and engineering leaders.

• Solve real customer problems.

• Gain exposure to Agentic AI, cloud, data and modern platform technologies.

• Contribute to a product being built for global customers.

• Opportunity to be considered for a full-time Trainee role based on performance.

Talent Path

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.