Pregrad
Website:
pregrad.in
Job details:
Company Description Pregrad is India’s career ecosystem designed for students seeking a structured path from skill development to tangible career outcomes. The organization connects mentorship, startup residencies, and global pathways to help learners move from career clarity to real-world proof of capability. Students gain 1:1 guidance from working professionals and hands-on ownership within live startups, creating practical experience rather than just theoretical knowledge. Pregrad focuses on building operators ready for the workplace, not simply delivering standalone courses or static content. Its integrated approach supports learners in accessing global education and career opportunities.
Role Description The DSA Mentor role at Pregrad is a contract, on-site position based in Sadar. In this role, the mentor guides students through Data Structures and Algorithms (DSA) concepts, helps them strengthen problem-solving skills, and supports preparation for technical interviews. Day-to-day responsibilities include conducting interactive sessions, reviewing and explaining code solutions, providing individualized feedback, and clarifying doubts in both group and 1:1 formats. The mentor collaborates with the Pregrad team to align mentoring activities with program outcomes, track learner progress, and contribute to a practice-focused learning environment.
Qualifications
- Strong proficiency in Data Structures and Algorithms and solid understanding of core computer science fundamentals.
- Hands-on experience with at least one programming language commonly used for DSA (such as C++, Java, or Python).
- Demonstrated ability to explain complex technical topics in clear, accessible terms to learners at varying skill levels.
- Prior experience in mentoring, teaching, or guiding students or junior developers in technical subjects.
- Good communication and interpersonal skills, with a learner-first mindset and patience in addressing questions.
- Familiarity with coding platforms, online judge systems, and common technical interview patterns is advantageous.
- Relevant academic background in Computer Science, Engineering, or related field, or equivalent practical experience.
- Enthusiasm for building real-world operators and supporting students in achieving concrete career outcomes.
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